CONFERENCE PROGRAM

Monday, June 26th

Transportation systems with autonomous vehicles I - Special Session

Room: Auditorium

Chair:

1 Transportation systems with autonomous vehicles: modeling issues and research perspectives

Giulio Erberto Cantarella, University of Salerno, ItalyAngela Di Febbraro, University of Genoa, Italy

7 From Connected Vehicles to a Connected, Coordinated and Automated Road Transport (C2ART) system

María Alonso Raposo, Joint Research Centre, European CommissionBiagio Ciuffo, Joint Research Centre, European CommissionMichail Makridis, Joint Research Centre, European CommissionChristian Thiel, Joint Research Centre, European Commission

13 Transportation Systems with Connected and Non-Connected vehicles: Optimal Traffic Control

Stefano de Luca, University of Salerno, ItalyRoberta Di Pace, University of Salerno, ItalyAngela Di Febbraro, University of Genoa, ItalyNicola Sacco, University of Genoa, Italy

19 Exploring the impact of autonomous vehicles in urban networks and potential new capabilities for perime-

ter control

Anastasios Kouvelas, Ecole Polytechnique Federale de Lausanne (EPFL), SwitzerlandJean-Patrick Perrin, Ecole Polytechnique Federale de Lausanne (EPFL), SwitzerlandSaad Fokri, Ecole Polytechnique Federale de Lausanne (EPFL), SwitzerlandNikolas Geroliminis, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland

25 Hybrid Path Planning for Non-Holonomic Autonomous Vehicles: an Experimental Evaluation

Francesco Esposto, TNO, The NetherlandsJorrit Goos, TNO, The NetherlandsArjan Teerhuis, TNO, The NetherlandsMohsen Alirezaei, TNO, The Netherlands

Traffic models in the presence of Autonomous Vehicles I - Special Session

Room: Sveva Hall

Chair: Luigi Pariota, University of Naples Federico II, Italy

31 Fusing Probe Speed and Flow Data for Robust Short-Term Congestion Front Forecasts

Felix Rempe, BMW Group, GermanyLisa Kessler, Munich University of the Federal Armed Forces, GermanyKlaus Bogenberger, Munich University of the Federal Armed Forces, Germany

37 Exploitation of ACC systems towards improved traffic flow efficiency on motorways

Anastasia Spiliopoulou, Technical University of Crete, GreeceGeorgia Perraki, Technical University of Crete, GreeceMarkos Papageorgiou, Technical University of Crete, GreeceClaudio Roncoli, Technical University of Crete, Greece

44 Controlling Congestion Propagation in a Connected Vehicle Environment with Routing

Juan Argote-Cabanero, TSS-Transportation Simulation Systems, SpainJordi Casas, TSS-Transportation Simulation Systems, SpainJavier Ortigosa, Area Metropolitana de Barcelona (AMB), Spain

51 Mean Field Differential Games In Intelligent Transportation Systems

Alper Oner, Istanbul Technical University, TurkeyTamer Basar, University of Illinois at Urbana-Champaign, USAGulay Oke Gunel, Istanbul Technical University, Turkey

57 Automated Rail Wagon for new freight transport opportunities

Domenico Gattuso, Mediterranea University, ItalyGian Carla Cassone, Mediterranea University, ItalyAntonio Lucisano, COELDA Software S.r.l., ItalyMaurizio Lucisano, COELDA Software S.r.l., ItalyFrancesco Lucisano, COELDA Software S.r.l., Italy

Freight modelling and operations - Special SessionRoom: Aragonese Hall

Chair: Edoardo Marcucci, University of Roma Tre, Italy

63 A Generic Framework for Monitoring Local Freight Traffic Movements Using Computer Vision-based

Techniques

Xin Sun, Singapore University of Technology and Design, SingaporeJiatao Ding, Singapore University of Technology and Design, SingaporeGiacomo Dalla Chiara, Singapore University of Technology and Design, SingaporeLynette Cheah, Singapore University of Technology and Design, SingaporeNgai-Man Cheung, Singapore University of Technology and Design, Singapore

69 Optimization of Container Operations at Inland Intermodal Terminals

Chiara Colombaroni, University of Rome "Sapienza", ItalyGaetano Fusco, University of Rome "Sapienza", ItalyNatalia Isaenko, University of Rome "Sapienza", ItalyLuca Quadrifoglio, Texas University, USA

75 A multivariate logic Decision Support System for optimization of the maritime routes

Stefania Sinesi, Technical University of Bari, ItalyMaria Giovanna Altieri, Technical University of Bari, ItalyMario Marinelli, Technical University of Bari, ItalyMauro Dell’Orco, Technical University of Bari, Italy

Vehicle design and communicationsRoom: Catalana Hall

Chair: Chiara Fiori, University of Naples Federico II, Italy

80 LTEV2Vsim: An LTE-V2V Simulator for the Investigation of Resource Allocation for Cooperative Aware-

ness

Giammarco Cecchini, CNR-IEIIT, ItalyAlessandro Bazzi, CNR-IEIIT, ItalyBarbara M. Masini, CNR-IEIIT, ItalyAlberto Zanella, CNR-IEIIT, Italy

86 Use Of Technology To Improve Bicycle Mobility In Smart Cities

Nikiforos Stamatiadis, University of Kentucky, USAGiuseppina Pappalardo, University of Catania, ItalySalvatore Cafiso, University of Catania, Italy

92 On the modelling and analysis of a motorcycle in critical leaning conditions

Andrea Bonci, Università Politecnica delle Marche, ItalyRiccardo De Amicis, Università Politecnica delle Marche, ItalySauro Longhi, Università Politecnica delle Marche, ItalyEmanuele Lorenzoni, Università Politecnica delle Marche, Italy

98 Vehicular Visible Light Networks with Full Duplex Communications

Barbara M. Masini, National Research Council of Italy (CNR)-IEIIT, ItalyAlessandro Bazzi, National Research Council of Italy (CNR)-IEIIT, ItalyAlberto Zanella, National Research Council of Italy (CNR)-IEIIT, Italy

104 Anti-Skid Braking Control System Design for Aircraft: Multi-phase Schemes Approach

Mohammadali Aghakhani Lonbani, Politecnico di Milano, ItalyMarco Morandini, Politecnico di Milano, ItalyPaolo Astori, Politecnico di Milano, ItalyGianluca Ghiringhelli, Politecnico di Milano, Italy

Transportation systems with autonomous vehicles II - Special Session

Room: Auditorium

Chair: Giulio Erberto Cantarella, University of Salerno, Italy

110 A collaborative control strategy for platoons of autonomous vehicles in the presence of message falsifica-

tion attacks

Alberto Petrillo, University of Naples Federico II, ItalyAntonio Pescapé, University of Naples Federico II, ItalyStefania Santini, University of Naples Federico II, Italy

116 Integrated Trajectory Control and Collision Avoidance for Automated Driving

Jan Verhaegh, TNO, The NetherlandsJeroen Ploeg, TNO, The NetherlandsEllen van Nunen, TNO, The NetherlandsArjan Teerhuis, TNO, The Netherlands

122 Nonlinear Multi-Layer Consensus Seeking of Vehicular Platoons

Mauro Fusco, TNO, The NetherlandsElham Semsar-Kazerooni, TNO, The NetherlandsJeroen C. Zegers, TNO, The NetherlandsJeroen Ploeg, TNO, The Netherlands

128 A Multi-layer Control Approach to Truck Platooning: Platoon Cohesion subject to Dynamical Limitations

Jeroen C. Zegers, TNO, The NetherlandsElham Semsar-Kazerooni, TNO, The NetherlandsMauro Fusco, TNO, The NetherlandsJeroen Ploeg, TNO, The Netherlands

134 Towards a generic lateral control concept for cooperative automated driving

Antoine Schmeitz, TNO, The NetherlandsJeroen Zegers, TNO, The NetherlandsJeroen Ploeg, TNO, The NetherlandsMohsen Alirezaei, TNO, The Netherlands

Railway modelling and operations

Room: Sveva Hall

Chair: Marcello Montanino, University of Naples Federico II, Italy

140 Development of A Train Driver Advisory System: ETO

Pengling Wang, Delft University Technology, The NetherlandsRob M.P. Goverde, Delft University Technology, The Netherlands

146 Dynamic Passenger Assignment during Disruptions in Railway Systems

Yongqiu Zhu, Delft University Technology, The NetherlandsRob M.P. Goverde, Delft University Technology, The Netherlands

152 Analytical Method for the Precise and Fast Prediction of Railway Running Times

Merlin Becker, Universitat Duisburg-Essen, GermanyLars Habel, Universitat Duisburg-Essen, GermanyMichael Schreckenberg, Universitat Duisburg-Essen, Germany

158 Exploring Challenges and Solutions for Container Transportation Using Rail

Shalini Kurapati, TU Delft, The NetherlandsIoanna Kourounioti, TU Delft, The NetherlandsHeide Lukosch, TU Delft, The NetherlandsLorant Tavaszzy, TU Delft, The NetherlandsAlexander Verbraeck, TU Delft, The NetherlandsLinda van Veen, TU Delft, The Netherlands

164 Rail Operations in freight terminals: safety issues and proposed methodology

Domenico Gattuso, University Mediterranea of Reggio Calabria, ItalyFilippo Giammaria Praticò, University Mediterranea of Reggio Calabria, ItalyGiancarla Cassone, Consultants - Reggio Calabria & Cosenza, ItalyMario Vigna, Consultants - Reggio Calabria & Cosenza, ItalyRoberto Longo, INAIL, ItalyRaffaele Sceni, MEDCENTER, Italy

Optimization in public transport management I - Special Session

Room: Aragonese Hall

Chair: Andrea D’Ariano, Università di Roma Tre,Italy

170 Experimental analysis of eGLOSA and eGLODTA transit control strategies

Giulio Giorgione, University of Luxembourg, LuxembourgFrancesco Viti, University of Luxembourg, LuxembourgMarco Rinaldi, University of Luxembourg, LuxembourgGiorgios Laskaris, University of Luxembourg, LuxembourgMarcin Seredynski, E-Bus Competence Center, Luxembourg

176 Optimizing the number of vehicles for a public bus line on the grounds of computer simulations

Vitalii Naumov, Cracow University of Technology, Poland

182 An Isochrones Based Public Transport Stops Optimization Technique

Elena Kondrateva, Samara National Research University, Russian FederationAlexander Sidorov, Samara National Research University, Russian FederationOleg Saprykin, Samara National Research University, Russian Federation

188 A Heuristic for Rebalancing Bike Sharing Systems Based on a Deferred Acceptance Algorithm

Mohammed Elhenawy, Virginia Tech Transportation Institute, USAHesham A. Rakha, Virginia Tech Transportation Institute, USA

194 Simulation tools to compare and optimize mobility plans

Alessandra Campo, Università Roma Tre, ItalyRoberto D’Autilia, Università Roma Tre, Italy

Critical infrastructure protection and cybersecurity - Special Session

Room: Catalana Hall

Chair: Andrea Chiappetta, ASPISEC and Marconi International University, Italy

200 On the Impact of Empirical Attack Models Targeting Marine Transportation

Elias Bou-Harb, Florida Atlantic University, USAEvangelos I. Kaisar, Florida Atlantic University, USAMark Austin, Florida Atlantic University, USA

206 Critical Infrastructure Protection: Beyond the Hybrid Port and Airport Firmware Security

Andrea Chiappetta, ASPISEC and Marconi International University, ItalyGianni Cuozzo, ASPISEC, Italy

212 An analysis on the security perception of italian cyberspace

Federica Chiappetta, Università degli Studi Niccolò Cusano, ItalyLeslie Fadlon, Università degli Studi Niccolò Cusano, ItalyArianna Norcini Pala, RAM SpA, Italy

219 Critical Infrastructure Protection: The need for evolving standards

Vincenzo Santoro, European Services Institute, ItalyL. Pensato, European Services Institute, Italy

223 Securing Critical Infrastructure with Smart Grids

Alessandro Niglia, Atlantic Treaty Association, Belgium

226 Trade-Off Analysis of Safety and Security in CAN bus communication

Luca Dariz, IMAMOTER-CNR, ItalyMichele Selvatici, IMAMOTER-CNR, ItalyMassimiliano Ruggeri, IMAMOTER-CNR, ItalyGianpiero Costantino, IIT-CNR, ItalyFabio Martinelli, IIT-CNR, Italy

Modelling and ITS I

Room: Auditorium

Chair: Gennaro Bifulco, University of Naples Federico II, Italy

232 Evaluation of a Cooperative Speed Advice Service implemented along an Urban Arterial Corridor

Evangelos Mintsis, National Technical University of Athens, GreeceEleni I. Vlahogianni, National Technical University of Athens, GreeceEvangelos Mitsakis, Centre for Research and Technology Hellas, GreeceSeckin Ozkul, University of South Florida, USA

238 Multi-objective shortest path problem with deterministic and fuzzy cost functions applied to hazmat trans-

portation on a road network

Luca Zero, University of Genoa, ItalyChiara Bersani, University of Genoa, ItalyMassimo Paolucci, University of Genoa, ItalyRoberto Sacile, University of Genoa, Italy

244 Early Warnings Dissemination for Urban Micro-scale Monitoring Using Vehicular Sensor Network

Milica Milojevic, Imperial College London, UKJavier A. Barria, Imperial College London, UK

250 A Standardized Approach to Derive System Specifications for Drones Operating in the Future UTM Sce-

nario

Rita Fontanella, University of Naples Federico II, ItalyAmedeo Rodi Vetrella, University of Naples Federico II, ItalyGiancarmine Fasano, University of Naples Federico II, ItalyDomenico Accardo, University of Naples Federico II, ItalyRosario Schiano Lo Moriello, University of Naples Federico II, ItalyLeopoldo Angrisani, University of Naples Federico II, ItalyRémy Girard, Ecole de l’Air, France

256 The passenger extension of the TRANSP-0 system design framework

Dominik Ascher, Technische Universitat Munchen, GermanyGeorg Hackenberg, Technische Universitat Munchen, Germany

Traffic models in the presence of Autonomous Vehicles II

Room: Sveva Hall

Chair: Biagio Ciuffo, DG JRC, European Commission, Italy

262 Free flow acceleration: Humans and car-following models

Michail Makridis, DG JRC, European Commission, ItalyBiagio Ciuffo, DG JRC, European Commission, ItalyGeorgios Fontaras, DG JRC, European Commission, ItalyTomer Toledo, Transportation Research Institute - Technion, Israel

268 Modeling Tactical Lane-change Behavior for Automated Vehicles: A Supervised Machine Learning Ap-

proach

Nassim Motamedidehkordi, Technical University of Munich, GermanySasan Amini, Technical University of Munich, GermanySilja Hoffmann, Technical University of Munich, GermanyFritz Busch, Technical University of Munich, GermanyMustika Riziki Fitriyanti, Technical University of Munich, Germany

274 Validation of driving behaviour as a step towards the investigation of Connected and Automated Vehicles

by means of driving simulators

Luigi Pariota, University of Naples Federico II, ItalyGennaro Nicola Bifulco, University of Naples Federico II, ItalyGustav Markkula, University of Leeds, UKRichard Romano, University of Leeds, UK

280 Capacity and Delay Analysis of Arterials with Mixed Autonomous and Human-Driven Vehicles

Mohsen Ramezani, The University of Sydney, AustraliaJoao Aguiar Machado, EPFL, SwitzerlandAlexander Skabardonis, University of California, BerkeleyNikolas Geroliminis, EPFL, Switzerland

Optimization in public transport management II

Room: Aragonese Hall

Chair: Andrea D’Ariano, Università di Roma Tre,Italy

285 Optimal Aircraft Scheduling and Flight Trajectory in Terminal Control Areas

Marcella Samà, Università degli Studi Roma Tre, ItalyAndrea D’Ariano, Università degli Studi Roma Tre, ItalyDario Pacciarelli, Università degli Studi Roma Tre, ItalyKonstantin Palagachev, Universitat der Bundeswehr Munchen, GermanyMatthias Gerdts, Universitat der Bundeswehr Munchen, Germany

291 Railway Timetable Optimization Considering Robustness and Overtakings

Fei Yan, Delft University of Technology, The NetherlandsRob M.P. Goverde, Delft University of Technology, The Netherlands

297 Ant Colony Optimization for train routing selection: operational vs tactical application

Marcella Samà, Università degli Studi Roma Tre, ItalyAndrea D’Ariano, Università degli Studi Roma Tre, ItalyDario Pacciarelli, Università degli Studi Roma Tre, ItalyPaola Pellegrini, Université Lille Nord de France, FranceJoaquin Rodriguez, Université Lille Nord de France, France

303 Model and software-based solution for implementing coordinated timed-transfer passenger transport sys-

tem

Milan Simeunovic, University of Novi Sad, SerbiaPavle Pitka, University of Novi Sad, SerbiaValentina Basaric, University of Novi Sad, SerbiaMilja Simeunovic, University of Novi Sad, Serbia

309 Microscopic Delay Management: Minimizing Train Delays and Passenger Travel Times during Real-Time

Railway Traffic Control

Andrea D’Ariano, Università degli Studi Roma Tre, ItalyDario Pacciarelli, Università degli Studi Roma Tre, ItalyMarcella Samà, Università degli Studi Roma Tre, ItalyFrancesco Corman, Delft University of Technology, The Netherlands

GSM, sensing and cellular data

Room: Catalana Hall

Chair: Vincenzo Punzo, University of Naples Federico II, IItaly

315 A new approach for mobile positioning using the CDR data of cellular networks

Artjom Lind, University of Tartu, EstoniaAmnir Hadachi, University of Tartu, EstoniaOleg Batrashev, University of Tartu, Estonia

321 Trip extraction for traffic analysis using cellular network data

Nils Breyer, Linkoping University, SwedenDavid Gundlegard, Linkoping University, SwedenClas Rydergren, Linkoping University, SwedenJohan Backman, Linkoping University, Sweden

327 A Predictive Model to Support the Widespread Diffusion of Electric Mobility

Michela Longo, Politecnico di Milano, ItalyPaolo Maffezzoni, Politecnico di Milano, ItalyDario Zaninelli, Politecnico di Milano, ItalyNina M. Lutz, Massachusetts Institute of Technology, USALuca Daniel, Massachusetts Institute of Technology, USA

333 Using Probe Vehicle Trajectories in Stop-and-Go Waves for Inferring Unobserved Vehicles

Mecit Cetin, Old Dominion University, USAKhairul A. Anuar, Old Dominion University, USA

339 Model-based Generation and Validation of different Sensor Information contributing to a Fusion Algo-

rithm in Connected Vehicles

Benjamin Reichelt, Technische Universitat Dresden, GermanyHagen Ubler, Technische Universitat Dresden, GermanyOliver Michler, Technische Universitat Dresden, GermanyJorg Holfeld, Fraunhofer-Institut fur Verkehrs- und Infrastruktursysteme IVI, GermanySven Eckelmann, Hochschule fur Technik und Wirtschaft Dresden, GermanyToralf Trautmann, Hochschule fur Technik und Wirtschaft Dresden, Germany

Tuesday, June 27th

Models and Technologies for Demand Estimation I - Special Session

Room: Auditorium

Chair: Francesco Viti, University of Luxembourg, Luxembourg

345 Exploring sensitivity-based clustering of OD variables in dynamic demand calibration

Farzad Fakhraei Roudsari, KU Leuven, BelgiumChris M.J. Tampère, KU Leuven, Belgium

351 Enriched travel demand estimation by including zonal and traveler characteristics and their relationships

Jord P. van der Vliet, Delft University of Technology, Studio Bereikbaar, The NetherlandsAdam J. Pel, Delft University of Technology, The NetherlandsHans van Lint, Delft University of Technology, The Netherlands

356 Effectiveness of the Two-Step Dynamic Demand Estimation model on large networks

Guido Cantelmo, University of Luxembourg, LuxembourgFrancesco Viti, University of Luxembourg, LuxembourgThierry Derrmann, University of Luxembourg, Luxembourg

362 A Sequential Approach to Time-dependent Demand Calibration: Application, Validation and Practical

Implications for Large-scale Networks

Bojan Kostic, Sapienza University of Rome, ItalyAgostino Annunziata, Sapienza University of Rome, ItalyGuido Gentile, Sapienza University of Rome, ItalyLorenzo Meschini, SISTeMA PTV Group, Italy

368 Techniques for Improving the Effectiveness of theSPSA Algorithm in Dynamic Demand Calibration

Bojan Kostic, Sapienza University of Rome, ItalyGuido Gentile, Sapienza University of Rome, ItalyConstantinos Antoniou, Technical University of Munich, Germany

Sustainable mobility I - Special Session

Room: Sveva Hall

Chair: Chiara Fiori, University of Naples Federico II, Italy

374 Modeling Bike Availability in a Bike-Sharing System Using Machine Learning

Huthaifa I. Ashqar, Virginia Tech Transportation Institute, USAMohammed Elhenawy, Virginia Tech Transportation Institute, USAMohammed H. Almannaa, Virginia Tech Transportation Institute, USAAhmed Ghanem, Virginia Tech Transportation Institute, USAHesham A. Rakha, Virginia Tech Transportation Institute, USALeanna House, Virginia Tech, USA

379 Evaluation of the impact of e-Mobility Scenarios in Large Urban Areas

Carlo Liberto, ENEA, DTE - PCU - STMA, ItalyGaetano Valenti, ENEA, DTE - PCU - STMA, ItalyMaria Lelli, ENEA, DTE - PCU - STMA, ItalyMarina Ferrara, Roma Tre University, ItalyMarialisa Nigro, Roma Tre University, Italy

385 Analytics Tool for Assessing Innovative Mobility Concepts, Vehicles and City Policies (CitScale)

M. Paz Linares, Universitat Politècnica de Catalunya, SpainLidia Montero, Universitat Politècnica de Catalunya, SpainEster Lorente, Universitat Politècnica de Catalunya, SpainOriol Serch, Universitat Politècnica de Catalunya, SpainGerman Navarro, Universitat Politècnica de Catalunya, SpainJuan Salmerón, Universitat Politècnica de Catalunya, SpainJosep Casanovas, Universitat Politècnica de Catalunya, Barcelona Supercomputing Center, Spain

391 Intelligent Strategy for Regenerative Braking Energy Harvesting in AC Electrical Railway Substation

Hamed Jafari Kaleybar, Sahand University of Technology, IranHossein Madadi Kojabadi, Sahand University of Technology, IranMorris Brenna, Polytechnic University of Milan, ItalyFederica Foiadelli, Polytechnic University of Milan, ItalyDario Zaninelli, Polytechnic University of Milan, Italy

397 Energy harvesting for on-board railway systems

Anna Lina Ruscelli, Scuola Superiore S. Anna, ItalyGabriele Cecchetti, Scuola Superiore S. Anna, ItalyPiero Castoldi, Scuola Superiore S. Anna, Italy

Sustainable mobility I - Special Session

Room: Aragonese Hall

Chair: Carlos Lima de Azevedo,Massachusetts Institute of Technology, USA

403 Collection and comparison of driver/passenger physiologic and behavioural data in simulation and on-

road driving

Daniele Ruscio, Catholic University of the Sacred Heart, Politecnico di Milano, ItalyLuca Bascetta, Politecnico di Milano, ItalyAlessandro Gabrielli, Politecnico di Milano, ItalyMatteo Matteucci, Politecnico di Milano, ItalyDedy Ariansyah, Politecnico di Milano, ItalyMonica Bordegoni, Politecnico di Milano, ItalyGiandomenico Caruso, Politecnico di Milano, ItalyLorenzo Mussone, Politecnico di Milano, Italy

409 The Evolution of Smart Mobility Strategies and Behaviors to Build the Smart City

Rocco Papa, University of Naples Federico II, ItalyCarmela Gargiulo, University of Naples Federico II, ItalyLaura Russo, University of Naples Federico II, Italy

415 System architecture of the activity chain optimization application

Domokos Esztergár-Kiss, Budapest University of Technology and Economics, Hungary

421 Smart Mobility: an evaluation method to audit Italian cities

Rosaria Battarra, National Research Council - Institute of Studies on Mediterranean Societies, ItalyFloriana Zucaro, University of Naples Federico II, ItalyMaria Rosa Tremiterra, University of Naples Federico II, Italy

427 Localization issues in the use of ITS

Vittorio Astarita, Università della Calabria, ItalyVincenzo Pasquale Giofrè, Università della Calabria, ItalyGiuseppe Guido, Università della Calabria, ItalyAlessandro Vitale, Università della Calabria, Italy

Data and observatories for ITS

Room: Catalana Hall

Chair: Andrea Papola, University of Naples Federico II, Italy

433 From manual to automatic pavement distress detection and classification

Salvatore Cafiso, University of Catania, ItalyCarmelo D’Agostino, University of Catania, ItalyEmanuele Delfino, University of Catania, ItalyAlfonso Montella, University of Naples Federico II, Italy

439 The implementation of the Italian Register of Railway Infrastructure

Luigi Tatarelli, Agenzia Nazionale per la Sicurezza delle Ferrovie, ItalyMarco Schillaci, Rete Ferroviaria Italiana, ItalyAdriana Galli, Rete Ferroviaria Italiana, Italy

445 ITS Observatory: User needs for an ITS on-line tool

Panagiotis Iordanopoulos, Centre for Research and Technology Hellas, GreeceSimon Edwards, University of Newcastle upon Tyne, UKSvetlana Popova, ERTICO – ITS Europe, Belgium

451 Perspectives of a web-based software to improve crash data quality and reliability in Italy

Alfonso Montella, University of Naples Federico II, ItalySalvatore Chiaradonna, AGS IDEAS, Spin-Off of University of Naples Federico II, ItalyGiorgio Criscuolo, AGS IDEAS, Spin-Off of University of Naples Federico II, ItalySalvatore De Martino, AGS IDEAS, Spin-Off of University of Naples Federico II, Italy

457 Dynamic Partitioning of Urban Road Networks Based on their Topological and Operational Characteris-

tics

Loukas Dimitriou, University of Cyprus, CyprusParaskevas Nikolaou, University of Cyprus, Cyprus

Models and Technologies for Demand Estimation II - Special Session

Room: Auditorium

Chair: Guido Cantelmo, University of Luxembourg, Luxembourg

463 Dynamic Traffic Assignment Integration with Real-Time Ramp Metering for Large-Scale Network Man-

agement

Minha Lee, University of Maryland, USAZheng Zhu, University of Maryland, USAChenfeng Xiong, University of Maryland, USALei Zhang, University of Maryland, USA

469 Application of discrete choice models for mode and destination choice in a large scale demand model

Florian Koppelhuber, IKK Kaufmann-Kriebernegg ZT-GmbH, AustriaGeorg Kriebernegg, IKK Kaufmann-Kriebernegg ZT-GmbH, AustriaBernhard Luger, IKK Kaufmann-Kriebernegg ZT-GmbH, AustriaJacqueline Aspack, IKK Kaufmann-Kriebernegg ZT-GmbH, Austria

474 Real-time traffic forecasting with recent DTA methods

Rafal Kucharski, Politechnika Krakowska, PolandBojan Kostic, Sapienza University of Rome, ItalyGuido Gentile, Sapienza University of Rome, Italy

480 Network trip assignment for agent-based simulation accounting for travel time

Nicholas Fournier, University of Massachusetts, USAEleni Christofa, University of Massachusetts, USA

486 How Mobile Phone Handovers reflect Urban Mobility: A Simulation Study

Thierry Derrmann, University of Luxembourg, LuxembourgRaphael Frank, University of Luxembourg, LuxembourgThomas Engel, University of Luxembourg, LuxembourgFrancesco Viti, University of Luxembourg, Luxembourg

Sustainable mobility II - Special SessionRoom: Sveva Hall

Chair: Chiara Fiori, University of Naples Federico II, Italy

492 Acceptance and equity in advanced path-related roadpricing schemes

Ennio Cascetta, University of Naples Federico II, ItalyArmando Cartenì, University of Naples Federico II, ItalyIlaria Henke, University of Naples Federico II, Italy

497 Multimodal Alternatives: How do users perceive the different combination of modes?

Ioannis Tsouros, University of the Aegean, GreeceAmalia Polydoropoulou, University of the Aegean, GreeceAthena Tsirimpa, University of the Aegean, Greece

503 Development and On-board Testing of an ADAS-based Methodology to Enhance Cruise Control Features

Towards CO2 Reduction

Antonio D’Amato, University of Salerno, ItalyCesare Pianese, University of Salerno, ItalyIvan Arsie, University of Salerno, ItalySaverio Armeni, Magneti Marelli S.p.A., ItalyWalter Nesci, Magneti Marelli S.p.A., ItalyAlessandro Peciarolo, Magneti Marelli S.p.A., Italy

509 An Advanced Driver Assistance System for improving driver ability. Design and test in virtual environ-

ment

Riccardo Rossi, University of Padova, ItalyGregorio Gecchele, University of Padova, ItalyMassimiliano Gastaldi, University of Padova, ItalyFrancesco Biondi, University of Utah, USAClaudio Mulatti, University of Padova, Italy

514 Estimation of Traversal Speed on Multi-lane Urban Arterial Under Non-recurring Congestion

Sasan Amini, Technical University of Munich, GermanyNassim Motamedidehkordi, Technical University of Munich, GermanyEftychios Papapanagiotou, Technical University of Munich, GermanyFritz Busch, Technical University of Munich, Germany

Smart mobility II - Special SessionRoom: Aragonese Hall

Chair: Carlos Lima de Azevedo, Massachusetts Institute of Technology, USA

520 Eco-Cooperative Adaptive Cruise Control at Multiple Signalized Intersections: Network-Wide Evaluation

and Sensitivity Analysis

Fawaz Almutairi, Virginia Polytechnic Institute and State University, USAHao Yang, Lamar University, USAHesham Rakha, Virginia Polytechnic Institute and State University, USA

526 Instrumented infrastructures for damage detection and management

Rosario Fedele, Mediterranea University of Reggio Calabria, ItalyFilippo Giammaria Praticò, Mediterranea University of Reggio Calabria, ItalyRiccardo Carotenuto, Mediterranea University of Reggio Calabria, ItalyFrancesco Giuseppe Della Corte, Mediterranea University of Reggio Calabria, Italy

532 The smart city and mobility. The functional polarization of urban flow

Romano Fistola, University of Sannio, ItalyMarco Raimondo, University of Sannio, ItalyRosa Anna La Rocca, University of Naples Federico II, Italy

538 How Many Probe Vehicles Do We Need to Collect On-Street Parking Information?

Fabian Bock, Leibniz Universitat, GermanySergio Di Martino, University of Naples Federico II, Italy

544 Developing a De-centralized Cycle-free Nash Bargaining Arterial Traffic Signal Controller

Hossam M. Abdelghaffar, Virginia Polytechnic Institute and State University, USAHao Yang, Lamar University, USAHesham A. Rakha, Virginia Polytechnic Institute and State University, USA

Road safety

Room: Catalana Hall

Chair: Alfonso Montella,University of Naples Federico II, Italy

550 Reducing Real-time Crash Risk for Congested Expressway Weaving Segments Using Ramp Metering

Mohamed Abdel-Aty, University of Central Florida, USALing Wang, University of Central Florida, USA

556 Effectiveness of the newly introduced Variable Message Signs in Lebanon on road safety

Elias M. Choueiri, USEK, LebanonAlain Saroufim, USEK, LebanonElie Otayek, USEK, Lebanon

562 Effectiveness of the newly introduced Variable Message Signs in Lebanon on driver behavior

Elias M. Choueiri, USEK, LebanonJoelle Aoun, USEK, LebanonElie Otayek, USEK, Lebanon

568 Developing a Rear-End Crash Risk Algorithm under Fog Conditions using Real-Time Data

Yina Wu, University of Central Florida, USAMohamed Abdel-Aty, University of Central Florida, USAJuneyoung Park, University of Central Florida, USA

574 Using Intelligent Transportation Systems to Enhance Pedestrian Safety at Beirut Signalized Intersection

Rania Wehbe, Holy Spirit University of Kaslik-Usek, LebanonZaher Massaad, Holy Spirit University of Kaslik-Usek, LebanonElie Otayek, Holy Spirit University of Kaslik-Usek, Lebanon

Big Data for ITS: experiences from the field and academia I - Special Session

Room: Auditorium

Chair: Constantinos Antoniou, Technical University of Munich, Germany

580 Network-Wide Bike Availability Clustering Using the College Admission Algorithm: A Case Study of San

Francisco Bay Area

Mohammed H. Almannaa, Virginia Polytechnic Institute and State University, USAMohammed Elhenawy, Virginia Polytechnic Institute and State University, USAAhmed Ghanem, Virginia Polytechnic Institute and State University, USAHuthaifa I. Ashqar, Virginia Polytechnic Institute and State University, USAHesham A. Rakha, Virginia Polytechnic Institute and State University, USA

586 Bike Share Travel Time Modeling: San Francisco Bay Area Case Study

Ahmed Ghanem, Virginia Polytechnic Institute and State University, USAMohammed Elhenawy, Virginia Polytechnic Institute and State University, USAMohammed Almannaa, Virginia Polytechnic Institute and State University, USAHuthaifa I. Ashqar, Virginia Polytechnic Institute and State University, USAHesham A. Rakha, Virginia Polytechnic Institute and State University, USA

592 Understanding the transfer function of mass transit hub by Automated Fare Collection data

Quentin Estève, École des Ponts ParisTech (ENPC), FranceSafia Lif, École des Ponts ParisTech (ENPC), FranceMarion Cossic, École des Ponts ParisTech (ENPC), FranceFabien Leurent, École des Ponts, IFSTTAR, UPEM, UPE, FranceBachar Kabalan, École des Ponts, IFSTTAR, UPEM, UPE, FranceXiaoyan Xie, École des Ponts, IFSTTAR, UPEM, UPE, France

598 Data Visualization Tool for Monitoring Transit Operation and Performance

Abdullah Kurkcu, New York University (NYU), USAFabio Miranda, New York University (NYU), USAKaan Ozbay, New York University (NYU), USAClaudio T. Silva, New York University (NYU), USA

604 Automated Data in Transit. Recent Developments and Applications

Haris N. Koutsopoulos, Northeastern University, USAPeyman Noursalehi, Northeastern University, USAYiwen Zhu, Northeastern University, USANigel H.M. Wilson, Massachusetts Institute of Technology, USA

Sustainable mobility III - Special SessionRoom: Sveva Hall

Chair: Chiara Fiori, University of Naples Federico II, Italy

610 Multi-Purpose Fibre Optic System for Automated Vehicle’s Weighting-in-Motion and Classification in

Applications of Intelligent Transport Systems

Alexander Grakovski, Transport and Telecommunication Institute, LatviaAlexey Pilipovecs, Transport and Telecommunication Institute, Latvia

616 Micro-simulation of airport taxiing procedures to improve operation sustainability: application of semirobotic

towing tractor

Laura Khammash, Università di Bologna, ItalyLuca Mantecchini, Università di Bologna, ItalyVasco Reis, Universidade de Lisboa, Portugal

622 Traffic flow short-term forecasting system design and prototyping: case study of Riga city

Mihails Savrasovs, Transport and Telecommunication Institute, Latvia

627 Conditional Value-at-Risk Optimization of Traffic Control at Isolated Intersection

Eleni Papatzikou, National Technical University of Athens, GreeceAntony Stathopoulos, National Technical University of Athens, Greece

633 A nonlinear optimal control approach to reduce travel times and to improve safety in freeway traffic

systems

C. Pasquale, University of Genova, ItalyS. Sacone, University of Genova, ItalyS. Siri, University of Genova, ItalyM. Papageorgiou, Technical University of Crete, Greece

Smart mobility III - Special Session

Room: Aragonese Hall

Chair: Carlos Lima de Azevedo,Massachusetts Institute of Technology, USA

639 Modeling Cyclists Speed at Signalized Intersections

Ali Kassim, Carleton University, City of Ottawa, CanadaKarim Ismail, Carleton University, CanadaSuzanne Woo, City of Ottawa, Canada

645 A real time multi-objective cyclists route choice model for a bike-sharing mobile application

Leonardo Caggiani, Politecnico di Bari, ItalyRosalia Camporeale, Politecnico di Bari, ItalyMichele Ottomanelli, Politecnico di Bari, Italy

651 A vehicle-to-infrastructure communication based algorithm for urban traffic control

Cyril Nguyen Van Phu, Université Paris Est, COSYS, GRETTIA, IFSTTAR, FranceNadir Farhi, Université Paris Est, COSYS, GRETTIA, IFSTTAR, FranceHabib Haj-Salem, Université Paris Est, COSYS, GRETTIA, IFSTTAR, FranceJean-Patrick Lebacque, Université Paris Est, COSYS, GRETTIA, IFSTTAR, France

657 Guidance For Identifying Corridor Conditions That Warrant Deploying Transit Signal Priority And

Queue Jump

MD Sultan Ali, Florida Atlantic University, USAEvangelos I. Kaisar, Florida Atlantic University, USAMohammad Hadi, Florida Atlantic University, USA

663 Semi-supervised Segmentation of Accelerometer Time Series for Transport Mode Classification

Maximilian Leodolter, AIT Austrian Institute of Technology, AustriaPeter Widhalm, AIT Austrian Institute of Technology, AustriaClaudia Plant, AIT Austrian Institute of Technology, AustriaNorbert Brandle, AIT Austrian Institute of Technology, Austria

Demand analysis and ITS

Room: Catalana Hall

Chair: Armando Cartenì, University of Naples Federico II, Italy

669 A Dynamic Prizing Scheme for a Congestion Charging Zone Based on a Network Fundamental Diagram

Benedikt Bracher, Munich University of the Federal Armed Forces, GermanyKlaus Bogenberger, Munich University of the Federal Armed Forces, Germany

675 Simulating the effects of real-time crowding information in public transport networks

Arkadiusz Drabicki, Cracow University of Technology, PolandRafal Kucharski, Cracow University of Technology, PolandOded Cats, Delft University of Technology, The NetherlandsAchille Fonzone, Edinburgh Napier University, UK

681 Dynamic Scenario Control for VANET Simulations

Christina Obermaier, Technische Hochschule Ingolstadt, GermanyRaphael Riebl, Technische Hochschule Ingolstadt, GermanyChristian Facchi, Technische Hochschule Ingolstadt, Germany

Wednesday, June 28th

Big Data for ITS: experiences from the field and academia II - Special Session

Room: Auditorium

Chair: F. Camara Pereira, Technical University of Denmark, Denmark

687 Scalable data-driven short-term traffic prediction

K. Friso, DAT.Mobility, The NetherlandsL.J.J. Wismans, DAT.Mobility, The NetherlandsM.B. Tijink, University of Twente, The Netherlands

693 Fusing GPS Probe and Mobile Phone Data for Enhanced Land-use Detection

Angelo Furno, Univ Lyon, ENTPE, IFSTTAR, LICIT, FranceNour-Eddin El Faouzi, Univ Lyon, ENTPE, IFSTTAR, LICIT, FranceMarco Fiore, CNR – IEIIT, ItalyRazvan Stanica, Univ Lyon, INSA-Lyon, INRIA, CITI, France

699 Enhancing Resilience to Disasters using Social Media

Emmanouil Chaniotakis, Technical University of Munich, GermanyConstantinos Antoniou, Technical University of Munich, GermanyFrancisco C. Pereira, Technical University of Denmark, Denmark

704 Traffic Dynamics Estimation by Using Raw Floating Car Data

Natalia Isaenko, University of Rome La Sapienza, ItalyChiara Colombaroni, University of Rome La Sapienza, ItalyGaetano Fusco, University of Rome La Sapienza, Italy

710 Big Data Analytics Architecture for Real-Time Traffic Control

Sasan Amini, Technical University of Munich, GermanyIlias Gerostathopoulos, Technical University of Munich, GermanyChristian Prehofer, Technical University of Munich, Germany

Shared economy, new mobility services and travel behaviour I - Special Session

Room: Sveva Hall

Chair: Maria Kamargianni, University College London, UK

716 Consumer Preferences of Electric and Automated Vehicles

Ramin Shabanpour, University of Illinois at Chicago, USASeyedeh Niloufar Dousti Mousavi, University of Illinois at Chicago, USANima Golshani, University of Illinois at Chicago, USAJoshua Auld, Argonne National Laboratory, USAAbolfazl Mohammadian, University of Illinois at Chicago, USA

721 Real time ridesharing: understanding user behavior and policies impact

S.Carrese, Roma Tre University, ItalyT.Giacchetti, Roma Tre University, ItalyS.M.Patella, Roma Tre University, ItalyM.Petrelli, Roma Tre University, Italy

727 Impact assessment of dedicated free-floating carsharing parking

Joschka Bischoff, Technische Universitat Berlin, GermanyKai Nagel, Technische Universitat Berlin, Germany

733 Perceived socio-economic impacts of Cooperative Intelligent Transportation Systems: A case Study of

Greece

Maria Anna Toulouki, National Technical University of Athens, GreeceEleni I. Vlahogianni, National Technical University of Athens, GreeceKonstantina Gkritza, Purdue University, USA

738 A Stated Preference Experiments for Mobility-as-a-Service Plans

Melinda Matyas, University College London, UKMaria Kamargianni, University College London, UK

Simulation and Forecasting for Intelligent Transit Networks I - Special Session

Room: Aragonese Hall

Chair: Agostino Nuzzolo,University of Rome Tor Vergata, Italy

744 Analysis of Network-wide Transit Passenger Flows Based on Principal Component Analysis

Ding Luo, Delft University of Technology, The NetherlandsOded Cats, Delft University of Technology, The NetherlandsHans van Lint, Delft University of Technology, The Netherlands

750 Modelling Multimodal Transit Networks

Judith Brand, Steer Davies Gleave, UKSerge Hoogendoorn, Delft University of Technology, The NetherlandsNiels van Oort, Delft University of Technology, The NetherlandsBart Schalkwijk, Vervoerregio Amsterdam, the Netherlands

756 Measuring Spill-over Effects of Disruptions in Public Transport Networks

Sanmay Shelat, Delft University of Technology, The NetherlandsOded Cats, Delft University of Technology, The Netherlands

Innovative Approaches I

Room: Catalana Hall

Chair: Vittorio Marzano, University of Naples Federico II, Italy

762 Design, Specification, Implementation and Evaluation of a Freeway Queue Warning System

Zhejun Liu, University of Minnesota, USAPeter Dirks, University of Minnesota, USAJohn Hourdos, University of Minnesota, USA

768 Detailed Models and Network-Centric Technologies of Transport Process Management

Oleg Golovnin, Samara National Research University, RussiaTatyana Mikheeva, Samara National Research University, Russia

774 Validation of Transport Infrastructure Changes via Microscopic Simulation: A Case Study for the City of

Samara, Russia

Oleg Saprykin, Samara National Research University, Russian FederationOlga Saprykina, Samara National Research University, Russian Federation

780 Machine Learning or Discrete Choice Models for Car Ownership Demand Estimation and Prediction?

Miguel Paredes, Massachusetts Institute of Technology, USAErik Hemberg, Massachusetts Institute of Technology, USAUna-May O’Reilly, Massachusetts Institute of Technology, USAChris Zegras, Massachusetts Institute of Technology, USA

Traffic signals and signal control

Room: Auditorium

Chair: Marcello Montanino, University of Naples Federico II, Italy

786 A Modular Intersection Controller with Adaptive Stage Selection and Duration Algorithms

Tim Barker, University of Bristol, UKGiovanni Russo, IBM Research Group, IrelandMario Di Bernardo, University of Bristol, UK

792 An Approach to Grouping Traffic Signals for Coordination Using Clustering Methods

Minha Lee, University of Maryland, USAHyoseuk Chang, University of Maryland, USACarlos Carrion, University of Maryland, USALei Zhang, University of Maryland, USA

798 Combined dynamic traffic assignment and signal control: an application to a zone in Guangzhou

Wang Bei Anny, Guangzhou Municipal Engineering Design & Research Institute, ChinaNing Ping Hua, Guangzhou Municipal Engineering Design & Research Institute, China

804 Towards a robust and wide-area traffic signal control for inner-city areas

Theresa Thunig, Technische Universitat Berlin, GermanyKai Nagel, Technische Universitat Berlin, Germany

810 Real-time Signal Control Accounting for Urban Freight Deliveries

Eric J. Gonzales, University of Massachusetts Amherst, USAEleni Christofa, University of Massachusetts Amherst, USA

Shared economy, new mobility services and travel behaviour II - Special Session

Room: Sveva Hall

Chair: Maria Kamargianni, University College London, UK

816 System Optimal ATIS as a congestion management instrument - game-based experiment and agent based

model

Ido Klein, Ben-Gurion University of the Negev, IsraelEran Ben-Elia, Ben-Gurion University of the Negev, Israel

821 Development of a Demand Responsive Transport system with improvement analysis on conventional pub-

lic transport: A Case Study for Schorndorf, Germany

Marta Barrilero, Institute of Transportation Systems, German Aerospace Center, GermanyAnke Sauerlander-Biebl, Institute of Transportation Systems, German Aerospace Center, GermanyAlexander Sohr, Institute of Transportation Systems, German Aerospace Center, GermanyTobias Hesse, Institute of Transportation Systems, German Aerospace Center, Germany

827 Modelling factors affecting the use of ubiquitous real-time bus passenger information

Faqhrul Islam, Edinburgh Napier University, UKAchille Fonzone, Edinburgh Napier University, UKAndrew MacIver, Edinburgh Napier University, UKKeith Dickinson, Edinburgh Napier University, UK

833 Microsimulation of an Autonomous Taxi-System in Munich

Florian Dandl, Munich University of the Federal Armed Forces, GermanyBenedikt Bracher, Munich University of the Federal Armed Forces, GermanyKlaus Bogenberger, Munich University of the Federal Armed Forces, Germany

839 Connected shared mobility for passengers and freight: investigating the potential of crowdshipping in

urban areas

Edoardo Marcucci, University of Roma Tre, Italy and Molde University College, NorwayMichela Le Pira, University of Catania, ItalyValerio Gatta, University of Roma Tre, ItalyCeline Sacha Carrocci, University of Roma Tre, ItalyEleonora Pieralice, Istituto Superiore di Formazione e Ricerca per i Trasporti, Italy

Simulation and Forecasting for Intelligent Transit Networks II - Special Session

Room: Aragonese Hall

Chair: Guido Gentile, University of Rome "Sapienza", Italy

844 Impact of Relocation Strategies For a Fleet Of Shared Automated Vehicles On Service Efficiency, Effec-

tiveness and Externalities

Konstanze Winter, Delft University of Technology, the NetherlandsOded Cats, Delft University of Technology, the NetherlandsBart van Arem, Delft University of Technology, the NetherlandsKarel Martens, Technion - Israel Institute of Technology, Israel

850 Transit Travel Strategy as Solution of a Markov Decision Problem: Theory and Applications

Agostino Nuzzolo, University of Rome Tor Vergata, ItalyAntonio Comi, University of Rome Tor Vergata, Italy

856 Bus travel time dispersion versus service punctuality and efficiency

Antonio Comi, University of Rome Tor Vergata, ItalyAgostino Nuzzolo, University of Rome Tor Vergata, ItalyStefano Brinchi, Mobility Agency of Rome Municipality, ItalyRenata Verghini, Mobility Agency of Rome Municipality, Italy

861 Real-time Short-turning in High Frequency Bus Services Based on Passenger Cost

David Leffler, KTH Royal Institute of Technology, SwedenOded Cats, KTH Royal Institute of Technology, Sweden and Delft University of Technology, The NetherlandsErik Jenelius, KTH Royal Institute of Technology, SwedenWilco Burghout, KTH Royal Institute of Technology, Sweden

867 Evaluation of Bus Dwelling Patterns Using Bus GPS Data

Ilgin Gokasar, Bogazici University, TurkeyYigit Cetinel, Bogazici University, Turkey

Innovative Approaches II

Room: Catalana Hall

Chair: Stefano de Luca, University of Salerno, Italy

872 Big Data for public transportation: a DSS framework

Giuseppe Guido, University of Calabria, ItalyDaniele Rogano, University of Calabria, ItalyAlessandro Vitale, University of Calabria, ItalyVittorio Astarita, University of Calabria, ItalyDemetrio Festa, University of Calabria, Italy

878 A Hybrid Method for Real-Time Short-Term Predictions of Traffic Flows in Urban Areas

Alessandro Attanasi, PTV SISTeMA, ItalyLorenzo Meschini, PTV SISTeMA, ItalyMarco Pezzulla, PTV SISTeMA, ItalyGaetano Fusco, University of Rome "Sapienza", ItalyGuido Gentile, University of Rome "Sapienza", ItalyNatalia Isaenko, University of Rome "Sapienza", Italy

884 The importance of choosing appropriate random utility models in complex choice contexts

Fiore Tinessa, University of Naples Federico II, ItalyAndrea Papola, University of Naples Federico II, ItalyVittorio Marzano, University of Naples Federico II, Italy

889 Training neural networks to approximate traffic simulation outcomes

Pawel Gora, University of Warsaw, PolandMarek Bardonski, Nvidia Corporation, Switzerland

895 Quantitative overview of efficiency and effectiveness of Public Transport in Italy: the importance of using

ITS

Andrea Papola, University of Naples Federico II, ItalyFiore Tinessa, University of Naples Federico II, ItalyVittorio Marzano, University of Naples Federico II, ItalyAngelo Mautone, Italian Ministry of Infrastructures and Transport, Italy

Modelling and ITS II

Room: Santa Lucia Hall

Chair: Mariano Gallo, University of Sannio, Italy

901 Performance Study of ZigBee Networks in a Rail Environment for Signalling Systems

Armando Mendez-Villalon, University of Nottingham, UKDavid W. P. Thomas, University of Nottingham, UKSteve Greedy, University of Nottingham, UK

907 Improving Vehicle Speed Prediction Transferability With Network Centrality

Maximilian Leodolter, Austrian Institute of Technology, AustriaAnita Graser, Austrian Institute of Technology, Austria

913 A Diffusion Model to Explain and Forecast Freeway Breakdown and Delay

Paul J. Ossenbruggen, University of New Hampshire, USA

919 Artificial Neural Networks for forecasting user flows in transportation networks: literature review, limits,

potentialities and open challenges

Giuseppina De Luca, University of Sannio, ItalyMariano Gallo, University of Sannio, Italy

925 Index of Authors

978-1-5090-6484-7/17/$31.00 ©2017 IEEE

Smart Mobility: an evaluation method to audit Italian cities

Rosaria Battarra National Research Council

Institute of Studies on Mediterranean Societies

Naples, Italy battarra@unina.it

Floriana Zucaro University of Naples Federico II

Department of Civil, Architectural and Environmental Engineering

Naples, Italy floriana.zucaro@unina.it

Maria Rosa Tremiterra, University of Naples Federico II

Department of Civil, Architectural and Environmental Engineering

Naples, Italy mariarosa.tremiterra@unina.it

Abstract—In the debate on smart cities it is widely shared that smart mobility plays a key role, as (i) is one of the most important facilities to support the functioning of the urban area, (ii) produces several negative impacts (such as: pollution, traffic, street congestion), (iii) allows to use broadly ICT to improve its efficiency. ICTs help transportation managers deliver the most dynamic, flexible and cost effective transport options and contribute to achieve cities' climate targets by lowering energy use and greenhouse gas emissions. Nevertheless, if the current ICT use puts forward many opportunities for developing a more sustainable mobility system, it also raises many challenges. For instance, it is difficult to measure the real effectiveness of these solutions, if not in terms of the consensus achieved by the local authorities and in budget increase of seller companies. Furthermore, ICTs need sophisticated management systems and have operating costs which seem to be not comparable with the benefits that they provide for. According to this backdrop, EU in the latest communication on ITS (EC, 2013) underlines that “despite a high number of technical solutions and mature applications the uptake of ITS applications is fragmented and large differences between cities remain”. In this framework, the aim of the paper is to analyze how Italian cities are interpreting the topic of Smart Mobility, with particular attention to the use of new technologies in urban mobility. According to scientific literature review, a set of indicators was identified and organized into three categories representing the main aspects of Smart Mobility: ICT, Sustainability and Accessibility. This set was applied to the Italian small and medium sized provincial capitals with a population from 50.000 to 250.000 inhabitants in 2016. Lastly, a graphic and synthetic representation of the collected data has been developed, in order to give an easy overview of Italian cities regards Smart Mobility characteristics. The analysis showed that the use of ICTs mainly concerns the introduction of devices and sensors for improving performance of transport system and information to users, as well as the promotion of a more sustainable mobility. The spread of ICTs in most of the cities appears still unsatisfactory: Italian cities are oriented towards a more sustainable and accessible urban mobility model rather than a smart one. Indeed, ICT solutions for Smart Mobility seem to represent isolated initiatives, without indispensable scientific and disciplinary quality criteria. Furthermore, ICT initiatives are not included in shared and coordinated strategies integrated with the urban transformation governance, as part of a global policy framework, such as SUMPs.

Therefore, to ensure that mobility can be “smart” and sustainable in order to improve the quality of life, a more integrated approach is required in order to consider the complex trade-offs between city and mobility. Smart Mobility means not just about using ITCs, but being able to function as an integral part of a larger system that also regards participation and urban quality.

Keywords—smart mobility indicators; smart city; Italian smart mobility performance

I. INTRODUCTION Numerous cities have long undertaken the Smart City

paradigm, although with different approaches and outcomes. One of the key concepts, common to most definitions in both theoretical and academic field [1], [2], [3], [4], [5], and industrial one [6] is that a Smart City is certainly an "accessible" city. This property entails that several actions and solutions are implemented in order to improve the performance, usability and environmental sustainability of urban services such as transport.

If accessibility is an essential feature of a contemporary city, it seems suitable for raising questions about how the Smart City paradigm can effectively support the transition towards a more sustainable mobility, through a broad use of new technologies.

In general, transport companies promote high-tech equipment, facilities and products to increase the efficiency of the mobility system, emphasizing the fundamental role of ICT for the implementation of the Smart City modela and this consideration seems to be confirmed also in a wide part of scientific studies and research on this issue [8], [9].

In this perspective, what are the elements that contribute to transform the urban transport supply in a successful smart mobility model? Numerous, heterogeneous and sometimes contrasting are the interpretations of what are the essential characteristics of a Smart Mobility, such as there are many

a “Transport has a central role for accessibility, connectivity, social and civic inclusion and competitiveness dimensions of an urban system (and more generally of a State): a more efficient and 'intelligent' mobility is a driver to realize the new urban models of smart city [7].

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approaches and theories developed to define, measure and evaluate the labelling elements of a Smart City, depending on the expert's point of view.

The interrelations between the concepts of smart mobility and sustainable mobility have been investigated by transport and land use literature [10], [11]. Some authors noted that since the transport sector contributes significantly to lower the environmental quality of the city, both in terms of the pollutants emission and high energy consumption, smart mobility is first and foremost a sustainable mobility.

Therefore, if smart mobility means mainly a wide use of ICTs in the transport system, at the same time the integration between the smartness and the sustainability of the urban mobility can be reached through the use of devices and innovations that make the transport system more compatible with the urban environment (e.g. reducing emissions, using alternative fuel sources, favoring soft transport systems, etc.).

In this regard, Lyons [10] highlights that although it would seem obvious that smart and sustainable mobility are closely linked, it is possible to detect opposing positions: “... being either focused on smart in a technology-centric sense or focused on sustainable in a planning-centric sense. Each may tacitly or superficially acknowledge aspects of the other’s paradigm and both may have as their reference or departure point a current paradigm that is neither especially smart nor sustainable”.

This statement draws attention to a much-debated topic with different standpoints that is the relationships between ICTs and smart mobility. Numerous researches [12], [13], [14] have focused on how the introduction of ICTs in many urban activities would have reduced the need for some types of physical movements (e.g. home-to-work commuting flows), leading to positive impacts on urban mobility. Although most of the scenarios defined in such studies did not meet this kind of expectations, in terms of congestion and traffic reduction, there is no doubt that “[13] the interactions between mobility and ICT, be it new or older ICTs, turn out to be very diverse and complex”.

In addition, the Smart Mobility definition used in a study of 2014 by the European Parliament is focused on the technological component [15]: “By Smart Mobility we mean ICT supported and integrated transport and logistics systems. For example, sustainable, safe and interconnected transportation systems can encompass trams, buses, trains, metros, cars, cycles and pedestrians in situations using one or more modes of transport. Smart Mobility prioritises clean and often non-motorised options. Relevant and real-time information can be accessed by the public in order to save time and improve commuting efficiency, save costs and reduce CO2 emissions, as well as to network transport managers to improve services and provide feedback to citizens. Mobility system users might also provide their own real-time data or contribute to long-term planning.” Finally, there are other many studies promoted by large companies that highlight the role of products, devices and technologies to make mobility more sustainable, more efficient and more responsive to the needs of users [16].

Several studies [17], [18], [19] highlight the lack of efficacy of a technocentrism perspective which considers an important use of ICTs for making more efficient urban mobility, without combining it with integrated planning of all the components of the transport system: from the network (both transport of goods and people and information) to more strictly managerial aspects. Furthermore, some authors point out that in some cases if the use of ICTs is a priority in order to improve the performance of transport system, city user transits (made easier by ICTs) can increase. It can be considered a secondary and unsustainable effect of application of ICTs. For example, there are digital applications that indicate in real time alternative routes to "traditional" ones affected by congestion thanks to the collaboration of users. However, such information can produce an unsustainable pressure on networks that are not able to support increases in traffic flows [18]. Finally, considering the lack of researches about levels of the pervasiveness and the use of ICTs according to user types, it is not clear how and how much technologies are able to change user habits and behaviours that are key factors for reaching a sustainable mobility [18].

Beyond the different positions synthetically described, it is evident that one of key sectors on which cities are investing resources and experiencing innovations is mobility. The challenges of sustainability and climate change and the improving of quality of life in urban areas make necessary the definition of policies and strategies aimed at improving the performance of mobility system, i.e. to enhance accessibility to services and urban spaces and increase sustainability through the reduction of the negative impacts of the transport system.

In this framework, the aim of the paper is to analyze how Italian cities are interpreting the topic of Smart Mobility, with particular attention to the use of new technologies in urban mobility. The paper is divided into three parts: the first describes the research method adopted in the study; the second explains the main results obtained; finally, the third highlights some concluding remarks.

II. METHODOLOGY In the debate on urban mobility ICT infrastructures and

devices are increasingly considered as pivot to make transport systems really sustainable and smart [20], [21] [22]. Thanks to sensors, command and control unit and actuators (the main components of a smart technology) [21] huge amounts of data (big data) are collected, processed, communicated in real time by allowing to manage urban transport system in a more efficient way. Nevertheless the consistent use and spread of appropriate technologies within urban mobility can produce positive effects on environment, economy and society, but those benefits are likely to be really limited without taking into account individual and social dynamics through which ICT are integrated with mobility habits of people [17] [23].

In other words, a holistic vision of smart mobility should be required as well as it is happened for the smart city [17] [19]. In addition to the difficult of declining the concept of Smart Mobility in a more comprehensive way, little is known about the performance of cities in the field of smart mobility

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and how measuring the real effectiveness of ICT solutions, if not in terms of the consensus achieved by local authorities and in budget increase of sellers companies. “According to [21] arguably, the lack of proper concepts and indicators could be a reason for not performing comprehensive benchmarking studies on smart transport cities”.

Based on these premises, the proposed methodology allows describing the Smart Mobility attitude of Italian cities through nine steps. The first step of the methodology was the definition of the main characteristics of Smart Mobility, in order to understand how this goal is pursued and interpreted by local administrations. According to the scientific framework provided in the previous section, there are three main aspects that can make urban mobility a smart one: (i) Smart Mobility needs ICT to improve urban mobility efficiency; (ii) Smart Mobility needs to be Sustainable to achieve climate, energy and environmental targets; (iii) Smart Mobility needs to be Accessible to improve urban organization and functions. The next step was the selection of indicators. The choice of the parameters is related to the willingness of measuring in a quantitative way the effects of local actions and initiatives developed to improve urban mobility system. The set of parameters has been defined according to the few studied on this topic [24] [25] [26] and their selection is related to the aim of measuring the effectiveness of local actions, often developed under the “catchy” slogan of Smart Mobility. After selecting indicators, each of them was associated to one of the three main aspects identified, according to which part of Smart Mobility is able to measure.

Then, the sample of Italian cities was defined. Most Smart Mobility studies have been focusing on metropolitan areas or/and big citiesb, as they are more affected by congestion, air pollution, noise than small ones, according to their major economic attractiveness and urban population growth [28] [29]. On the contrary, this work aims at investigating Smart Mobility status in Italian small and mesidum sized cities (from 50.000 to 250.000 inhabitants in 2016), in order to understand if this urban dimension can encourage and facilitate the fulfillment of actions oriented to ICT, Sustainability and Accessibility. Furthermore, “according to [30] small towns and cities have a critical role to play to connect the rural areas to the bigger cities and to preserve the territorial cohesion of the EU. In other words, the EU needs a polycentric territory, with small-and-medium sized towns in the countryside, and networks of towns as alternatives to the large metropolises”.

After selecting both indicators and the sample, the related data were collected by consulting ISTAT (Italian National Institute of Statistics) database. Among the several available and open source database, ISTAT was used as (i) in Italy it is the most authoritative and reliable source of data; (ii) it collects data related to a significant number of territorial entities, compared to the other database; (iii) the classification and cataloguing criteria are homogeneous for all cities and for all the years.

b Big cities have a population more than 250.000 inhabitants [27].

It is worth noting that most data linked to Sustainability and Accessibility categories were available from 2006 to 2015, while for ICT just for the period 2012 – 2014. This difference of data availability can be due to the fact that before this period (2012 – 2014) ICT for transport applications were really isolated. Therefore, authors referred their analysis only to 2014. In this regard, at least in Italy, it is still very difficult to analyze the evolution of some spatial phenomena related to the use of ICTs. Urban systems evolve more rapidly than the connected statistical data collection processes, and so there is a “collapse” between the ongoing processes and the tools used to analyze them. Italian spatial statistical data are still fragmentary and often available only for some territorial entities.

All the ISTAT data were available for the Italian provincial capitals, so the sample was composed by 102 small and medium sized cities. Before comparing the Italian provincial capitals, the indicators were standardized because: (i) ICT parameters were binary while Sustainability and Accessibility ones were continuous and so not comparable. Therefore, continuous parameters were transformed into binary type. This operation was made by Natural Breaks classification.

The next step was calculating the average of binary values of all parameters (n) of each category (ICT, Sustainability and Accesibility), for every city “(1)”:

ICTa = (ICT1 + ICT2 + …+ ICTn)*n-1 (1)

These values were then expressed as a percentage, in order to attribute a qualitative weight to each city according to the three components of Smart Mobility and hence understand how each provincial capital is declining the Smart Mobility topic. To grasp and interpret the results according to the three main components of Smart Mobility, these ones were represented in a ternary diagram. The diagram has been divided into 7 areas, in order to identify which are the main issues related to Smart mobility in the Italian urban context (Fig. 2). Those areas are:

a) Area 1: Accessibility

b) Area 2: ICT

c) Area 3: Sustainability

d) Area 4: Integrated Mobility

e) Area 5: Attractive Mobility

f) Area 6: Inclusive Mobility

g) Area 7: Balance Area

Finally, to understand if Italian Smart Mobility status is affected by demographic dimension, the sample of cities was articulated into three clusters equal-sized sets, based on their statistical rank, by percentile method: first cluster (Cluster 1) collects cities with a population less or equal to 54.912 inhabitants; second cluster collects cities with a population between 54.912 and 96.303 inhabitants (Cluster 2); third cluster collects cities with a population between 96.303 and 259.544 inhabitants (Cluster 3).

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The last step was the comparison of results, through the four ternary diagrams, the first one for all the sample and the other ones for each cluster.

TABLE I. Parameters selected for the three Smart Mobility categories

ID ICT

Indicator Unit Source

ICT1 Road traffic signal systems n°/km2 ISTAT

ICT2 Variable message signs 1 or 0 ISTAT

ICT3 SMS for traffic alerts 1 or 0 ISTAT

ICT4 Electronic payment park systems 1 or 0 ISTAT

ICT5 Applications for mobile devices 1 or 0 ISTAT

ICT6 SMS for public transport information 1 or 0 ISTAT

ICT7 Electronic bus stop signs 1 or 0 ISTAT

ICT8 Electronic travel tickets 1 or 0 ISTAT

ICT9 Electronic purchase of travel ticket by mobile devices 1 or 0 ISTAT

ICT10 Information on routes, schedules and waiting times 1 or 0 ISTAT

ICT11 LPT travel planner 1 or 0 ISTAT

ICT12 Travel tickets online 1 or 0 ISTAT

SUSTAINABILITY

Indicator Unit Source

S1 Ecological buses (electric, natural-gas, GPL) n° ISTAT

S2 Pedestrian zones m2/100 inh. ISTAT

S3 Restricted traffic zones km2/100 km2 ISTAT

S4 Cycle lanes km/100 km2 ISTAT

S5 Ecological cars (electric, natural-gas) n° ISTAT

S6 Bike sharing supply n°

bikes/10,000 inh.

ISTAT

S7 Bike sharing density n°

stations/100 km2

ISTAT

ACCESSIBILITY

Indicator Unit Source

A1 Public tranpsort demand n°

passengers/ inh.

ISTAT

A2 Public tranpsort supply n° seats*km/inh. ISTAT

A3 Public transport lanes km/100 km2 ISTAT

A4 Bus stops density n° stops/100 km2 ISTAT

A5 Rail network km/ km2 ISTAT

A6 Rail network stops n° stops/ km2 ISTAT

A7 Car sharing demand n° users/1,000 inh. ISTAT

A8 Car sharing supply n° available

vehicles/ 100,000 inh.

ISTAT

A9 Toll parking n° stalls/1,000 vehicles ISTAT

III. RESULTS AND DISCUSSION The methodology proposed for analyzing the status of

Smart Mobility in Italian small and medium sized cities, led to significant comments, according to the distribution of selected indicators into three categories.

The ternary diagram of all the selected cities (Fig. 3) showed that there is not a specific tendency towards a unique category, even though most provincial capitals are concentrated within the Balance Area (about 24%), the Area 5 (about 10%) and along the ICT axis (about 29% of the sample). According to such distribution, the average value of the ternary diagram was located into the Area 4 (Integrated Mobility). These results seem to highlight that Italian cities pay attention mainly to Accessibility and ICT aspects. The ternary diagram of Cluster 1 seems to confirm such Italian attitude. Indeed, the average value of the Cluster 1 sample is located within Area 4 (Integrated Mobility) and the majority of cities are placed in the Balanced Area (Area 7) and located along the ICT axis. As regards Cluster 2, even if its average value is positioned within the Area 4 (Integrated Mobility) of the ternary diagram, such cluster is more oriented to the Accessibility area, compared to results of the previous two diagrams. In fact, there is a great concentration of cities in the Accessibility vertex. Finally, the ternary diagram of Cluster 3 shows that the three Smart Mobility categories are more balanced than the other two clusters. Area 7 (Balance Area) and Area 5 (Attractive Mobility) collect the most part of cities.

Summing up, even though there is not a leading category, Italian cities seem to particularly focus on Accessibility and ICT issues (Fig. 3 and Fig. 4). With regard to the demographic dimension, it seems that the most populated cities of the sample (Cluster 3) pay more attention to all the three Smart Mobility aspects.

Fig. 1 Maps of selected Italian cities

424

Fig. 2 Areas of ternary diagram

Such a difference is related to the fact that the smaller cities are more oriented to a traditional mobility model. Generally, small sized cities have limited budgets and less specialized expertise in the urban mobility management field and their transport habits are different from biggest city’s ones, like shorter and low number of trips because of the limited presence of urban functions in the urban context. Furthermore, they tend to invest more both in transport supply (Accessibility), as they are oriented to satisfy the essential mobility needs, and in new technologies (ICT), and their use and spread require fewer efforts and represent an alternative to the construction of new physical infrastructure. This could represent also the reason why the small and medium sized cities do not try to make mobility more sustainable.

IV. CONCLUSIONS The set of parameters related to the Accessibility and

Sustainability aspects and the use of ICTs in the transport system provided an overview of how in Italian urban areas are interpreting the topic of Smart Mobility, drawing some suggestions and cause for reflections. Italian small and medium sized cities (with a population between 50,000 and 250,000 inhabitants) are implementing - although in different ways - a mix of actions geared towards improving accessibility and sustainability as well as the use of ICTs. Considering this latter aspect, most of the interventions (especially in Southern Italy) are the result of the wide range of EU funds on transport sector in the last programming period in order to overcome mainly the issues of air pollution and energy consumption.

A first result is related to the interrelationship between city-size (population) and Smart Mobility actions. The smaller cities depend on “polarizing” urban areas located within their territorial context from a functional point of view. Such relation could explain why larger cities (Clusters 2 and 3), characterized by large flows of people and goods and by related problems, implement integrated and innovative actions aimed at making mobility more sustainable.

Another consideration is about the role of ICTs within Smart Mobility policies. At present, the lack of reliable and accredited data on the use of new technologies in urban transport sector is a limit of this research, especially regarding the large amounts of data that users daily provide to local transport companies in order to improve public transport supply, ensure optimal traffic and freight transport management, or improve road and freight safety. Moreover, this lack of information could distort the interpretation of some results. ICTs seem to be used as "fashionable" technologies, able to provide smart applications and information to users, without adding value to the efficiency of the mobility system as a whole. Therefore, ICTs seem to not improve mobility management and organization models with the aim of sustainability and efficiency. In other words, if the use of new technologies is implemented in a "unequipped" social context, “innovation” becomes only an appealing and superfluous label.

Fig. 3 Ternary diagram of the whole sample (in green the average value;

in orange Cluster 1; in blue Cluster 2; in red Cluster 3)

Fig. 4 Ternary diagram of average values of Cluster 1 (in orange), Cluster 2

(in blue) and Cluster 3 (in red)

425

For example: is it useful a mobile application that informs users about the “real time” waiting at public transport stops if it does not provide information as the waiting is longer than 30 minutes? Such case could explain why the Southern Italian cities record the presence of messaging systems at public transport stops, e-ticketing systems, etc, even if they are in late to promote policies and measures related to sustainability and accessibility. Therefore, despite the push of the European funds, the Smart Mobility approach seems to be not suitable to the less developed urban contexts of Southern Italy, characterized by an obsolete and unsustainable transport system [29]. Instead, in the larger and Northern cities (in particular, Cluster 3) the three Smart Mobility categories are better balanced, considering the implemented actions.

In conclusion, the proposed study allows to state that most Italian cities are oriented towards the adoption of a more sustainable and accessible urban mobility model than smart one. In such context, the use of ICTs, indeed, seems to represent isolated initiatives, which are not included in shared and coordinated strategies integrated with the urban transformation governance, as part of a global policy framework (e.g. SUMPs). Therefore, in order to implement a real "smart" mobility and contribute to improving the quality of life and developing a sustainable urban mobility model, a more integrated approach is required in order to consider the complex trade-offs between city and mobility. A smart mobility means not just about using ICT, but being able to function as an integral part of a larger system that also regards participation and urban quality.

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Index of Authors

Abdel-Aty, Mohamed, 550, 568

Abdelghaffar, Hossam M., 544

Accardo, Domenico, 250

Aguiar Machado, Joao, 280

Ali, MD Sultan, 657

Alirezaei, Mohsen, 25

Almannaa, Mohammed H., 374, 580, 586

Almutairi, Fawaz, 520

Altieri, Maria Giovanna, 75

Amini, Sasan, 268, 514, 710

Angrisani, Leopoldo, 250

Annunziata, Agostino, 362

Anny, Wang Bei, 798

Antoniou, Constantinos, 368, 699

Anuar, Khairul A., 333

Aoun, Joelle, 562

Argote-Cabanero, Juan, 44

Ariansyah, Dedy, 403

Armeni, Saverio, 503

Arsie, Ivan, 503

Ascher, Dominik, 256

Ashqar, Huthaifa I., 374, 580, 586

Aspack, Jacqueline, 469

Astarita, Vittorio, 427, 872

Astori, Paolo, 104

Attanasi, Alessandro, 878

Auld, Joshua, 716

Austin, Mark, 200

Backman, Johan, 321

Bardonski, Marek, 889

Barker, Tim, 786

Barria, Javier A., 244

Barrilero, Marta, 821

Basar, Tamer, 51

Basaric, Valentina, 303

Bascetta, Luca, 403

Batrashev, Oleg, 315

Battarra, Rosaria, 421

Bazzi, Alessandro, 80, 98

Becker, Merlin, 152

Ben-Elia, Eran, 816

Bersani, Chiara, 238

Bifulco, Gennaro Nicola, 274

Biondi, Francesco, 509

Bischoff, Joschka, 727

Bock, Fabian, 538

Bogenberger, Klaus, 31, 669, 833

Bonci, Andrea, 92

Bordegoni, Monica, 403

Bou-Harb, Elias, 200

Bracher, Benedikt, 669, 833

Brand, Judith, 750

Brandle, Norbert, 663

Brenna, Morris, 391

Breyer, Nils, 321

Brinchi, Stefano, 856

Burghout, Wilco, 861

Busch, Fritz, 268, 514

Cafiso, Salvatore, 86, 433

Caggiani, Leonardo, 645

Campo, Alessandra, 194

Camporeale, Rosalia, 645

Cantarella, Giulio Erberto, 1

Cantelmo, Guido, 356

Carotenuto, Riccardo, 526

Carrese, S., 721

Carrion, Carlos, 792

Carrocci, Celine Sacha, 839

Cartenì, Armando, 492

Caruso, Giandomenico, 403

Casanovas, Josep, 385

Casas, Jordi, 44

Cascetta, Ennio, 492

Cassone, Gian Carla, 57

Cassone, Giancarla, 164

Castoldi, Piero, 397

Cats, Oded, 675, 744, 756, 844, 861

Cecchetti, Gabriele, 397

Cecchini, Giammarco, 80

Cetin, Mecit, 333

Cetinel, Yigit, 867

Chang, Hyoseuk, 792

Chaniotakis, Emmanouil, 699

Cheah, Lynette, 63

Cheung, Ngai-Man, 63

Chiappetta, Andrea, 206

Chiappetta, Federica, 212

Chiaradonna, Salvatore, 451

Choueiri, Elias M., 556, 562

Christofa, Eleni, 480, 810

Ciuffo, Biagio, 7, 262

Colombaroni, Chiara, 69, 704

Comi, Antonio, 850, 856

Corman, Francesco, 309

Cossic, Marion, 592

Costantino, Gianpiero, 226

Criscuolo, Giorgio, 451

Cuozzo, Gianni, 206

D’Agostino, Carmelo, 433

D’Amato, Antonio, 503

D’Ariano, Andrea, 285, 297, 309

Dalla Chiara, Giacomo, 63

Dandl, Florian, 833

Daniel, Luca, 327

Dariz, Luca, 226

De Amicis, Riccardo, 92

De Luca, Giuseppina, 919

de Luca, Stefano, 13

De Martino, Salvatore, 451

Delfino, Emanuele, 433

Dell’Orco, Mauro, 75

Della Corte, Francesco Giuseppe, 526

Derrmann, Thierry, 356, 486

Di Bernardo, Mario, 786

Di Febbraro, Angela, 1, 13

Di Martino, Sergio, 538

Di Pace, Roberta, 13

Dickinson, Keith, 827

Dimitriou, Loukas, 457

Ding, Jiatao, 63

Dirks, Peter, 762

Dousti Mousavi, Seyedeh Niloufar, 716

Drabicki, Arkadiusz, 675

D’Autilia, Roberto, 194

Eckelmann, Sven, 339

Edwards, Simon, 445

El Faouzi, Nour-Eddin, 693

Elhenawy, Mohammed, 188, 374, 580, 586

Engel, Thomas, 486

Esposto, Francesco, 25

Estève, Quentin, 592

Esztergár-Kiss, Domokos, 415

Facchi, Christian, 681

Fadlon, Leslie, 212

Farhi, Nadir, 651

Fasano, Giancarmine, 250

Fedele, Rosario, 526

Ferrara, Marina, 379

Festa, Demetrio, 872

Fiore, Marco, 693

Fistola, Romano, 532

Fitriyanti, Mustika Riziki, 268

Foiadelli, Federica, 391

Fokri, Saad, 19

Fontanella, Rita, 250

Fontaras, Georgios, 262

Fonzone, Achille, 675, 827

Fournier, Nicholas, 480

Frank, Raphael, 486

Friso, K., 687

Furno, Angelo, 693

Fusco, Gaetano, 69, 704, 878

Fusco, Mauro, 122, 128

Gabrielli, Alessandro, 403

Galli, Adriana, 439

Gallo, Mariano, 919

Gargiulo, Carmela, 409

Gastaldi, Massimiliano, 509

Gatta, Valerio, 839

Gattuso, Domenico, 57, 164

Gecchele, Gregorio, 509

Gentile, Guido, 362, 368, 474, 878

Gerdts, Matthias, 285

Geroliminis, Nikolas, 19, 280

Gerostathopoulos, Ilias, 710

Ghanem, Ahmed, 374, 580, 586

Ghiringhelli, Gianluca, 104

Giacchetti, T., 721

Giofrè, Vincenzo Pasquale, 427

Giorgione, Giulio, 170

Girard, Rémy, 250

Gkritza, Konstantina, 733

Gokasar, Ilgin, 867

Golovnin, Oleg, 768

Golshani, Nima, 716

Gonzales, Eric J., 810

Goos, Jorrit, 25

Gora, Pawel, 889

Goverde, Rob, 291

Goverde, Rob M.P., 140, 146

Grakovski, Alexander, 610

Graser, Anita, 907

Greedy, Steve, 901

Guido, Giuseppe, 427, 872

Gundlegard, David, 321

Gunel, Gulay Oke, 51

Habel, Lars, 152

Hackenberg, Georg, 256

Hadachi, Amnir, 315

Hadi, Mohammad, 657

Haj-Salem, Habib, 651

Hemberg, Erik, 780

Henke, Ilaria, 492

Hesse, Tobias, 821

Hoffmann, Silja, 268

Holfeld, Jorg, 339

Hoogendoorn, Serge, 750

Hourdos, John, 762

House, Leanna, 374

Iordanopoulos, Panagiotis, 445

Isaenko, Natalia, 69, 704, 878

Islam, Faqhrul, 827

Ismail, Karim, 639

Jenelius, Erik, 861

Kabalan, Bachar, 592

Kaisar, Evangelos I., 200, 657

Kaleybar, Hamed Jafari, 391

Kamargianni, Maria, 738

Kassim, Ali, 639

Kessler, Lisa, 31

Khammash, Laura, 616

Klein, Ido, 816

Kojabadi, Hossein Madadi, 391

Kondrateva, Elena, 182

Koppelhuber, Florian, 469

Kostic, Bojan, 362, 368, 474

Kourounioti, Ioanna, 158

Koutsopoulos, Haris N., 604

Kouvelas, Anastasios, 19

Kriebernegg, Georg, 469

Kucharski, Rafal, 474, 675

Kurapati, Shalini, 158

Kurkcu, Abdullah, 598

La Rocca, Rosa Anna, 532

Laskaris, Giorgios, 170

Le Pira, Michela, 839

Lebacque, Jean-Patrick, 651

Lee, Minha, 463, 792

Leffler, David, 861

Lelli, Maria, 379

Leodolter, Maximilian, 663, 907

Leurent, Fabien, 592

Liberto, Carlo, 379

Lif, Safia, 592

Lind, Artjom, 315

Liu, Zhejun, 762

Lonbani, Mohammadali Aghakhani, 104

Longhi, Sauro, 92

Longo, Michela, 327

Longo, Roberto, 164

Lorente, Ester, 385

Lorenzoni, Emanuele, 92

Lucisano, Antonio, 57

Lucisano, Francesco, 57

Lucisano, Maurizio, 57

Luger, Bernhard, 469

Lukosch, Heide, 158

Luo, Ding, 744

Lutz, Nina M., 327

MacIver, Andrew, 827

Maffezzoni, Paolo, 327

Makridis, Michail, 7, 262

Mantecchini, Luca, 616

Marcucci, Edoardo, 839

Marinelli, Mario, 75

Markkula, Gustav, 274

Martens, Karel, 844

Martinelli, Fabio, 226

Marzano, Vittorio, 884, 895

Masini, Barbara M., 80, 98

Massaad, Zaher, 574

Matteucci, Matteo, 403

Matyas, Melinda, 738

Mautone, Angelo, 895

Mendez-Villalon, Armando, 901

Meschini, Lorenzo, 362, 878

Michler, Oliver, 339

Mikheeva, Tatyana, 768

Milojevic, Milica, 244

Mintsis, Evangelos, 232

Miranda, Fabio, 598

Mitsakis, Evangelos, 232

Mohammadian, Abolfazl, 716

Mohsen, Alirezaei, 134

Montella, Alfonso, 433, 451

Montero, Lidia, 385

Morandini, Marco, 104

Motamedidehkordi, Nassim, 268, 514

Mulatti, Claudio, 509

Mussone, Lorenzo, 403

Nagel, Kai, 727, 804

Naumov, Vitalii, 176

Navarro, German, 385

Nesci, Walter, 503

Niglia, Alessandro, 223

Nigro, Marialisa, 379

Nikolaou, Paraskevas, 457

Norcini Pala, Arianna, 212

Noursalehi, Peyman, 604

Nuzzolo, Agostino, 850, 856

O’Reilly, Una-May, 780

Obermaier, Christina, 681

Oner, Alper, 51

Ortigosa, Javier, 44

Ossenbruggen, Paul J., 913

Otayek, Elie, 556, 562, 574

Ottomanelli, Michele, 645

Ozbay, Kaan, 598

Ozkul, Seckin, 232

Pacciarelli, Dario, 285, 297, 309

Palagachev, Konstantin, 285

Paolucci, Massimo, 238

Papa, Rocco, 409

Papageorgiou, M., 633

Papageorgiou, Markos, 37

Papapanagiotou, Eftychios, 514

Papatzikou, Eleni, 627

Papola, Andrea, 884, 895

Pappalardo, Giuseppina, 86

Paredes, Miguel, 780

Pariota, Luigi, 274

Park, Juneyoung, 568

Pasquale, C., 633

Patella, S.M., 721

Paz Linares, M., 385

Peciarolo, Alessandro, 503

Pel, Adam J., 351

Pellegrini, Paola, 297

Pensato, L., 219

Pereira, Francisco C., 699

Perraki, Georgia, 37

Perrin, Jean-Patrick, 19

Pescapé, Antonio, 110

Petrelli, M., 721

Petrillo, Alberto, 110

Pezzulla, Marco, 878

Pianese, Cesare, 503

Pieralice, Eleonora, 839

Pilipovecs, Alexey, 610

Ping Hua, Ning, 798

Pitka, Pavle, 303

Plant, Claudia, 663

Ploeg, Jeroen, 116, 122, 128, 134

Polydoropoulou, Amalia, 497

Popova, Svetlana, 445

Praticò, Filippo Giammaria, 164, 526

Prehofer, Christian, 710

Quadrifoglio, Luca, 69

Raimondo, Marco, 532

Rakha, Hesham, 520

Rakha, Hesham A., 188, 374, 544, 580, 586

Ramezani, Mohsen, 280

Raposo, María Alonso, 7

Reichelt, Benjamin, 339

Reis, Vasco, 616

Rempe, Felix, 31

Riebl, Raphael, 681

Rinaldi, Marco, 170

Rodi Vetrella, Amedeo, 250

Rodriguez, Joaquin, 297

Rogano, Daniele, 872

Romano, Richard, 274

Roncoli, Claudio, 37

Rossi, Riccardo, 509

Roudsari, Farzad Fakhraei, 345

Ruggeri, Massimiliano, 226

Ruscelli, Anna Lina, 397

Ruscio, Daniele, 403

Russo, Giovanni, 786

Russo, Laura, 409

Rydergren, Clas, 321

Sacco, Nicola, 13

Sacile, Roberto, 238

Sacone, S., 633

Salmerón, Juan, 385

Samà, Marcella, 285, 297, 309

Santini, Stefania, 110

Santoro, Vincenzo, 219

Saprykin, Oleg, 182, 774

Saprykina, Olga, 774

Saroufim, Alain, 556

Sauerlander-Biebl, Anke, 821

Savrasovs, Mihails, 622

Sceni, Raffaele, 164

Schalkwijk, Bart, 750

Schiano Lo Moriello, Rosario, 250

Schillaci, Marco, 439

Schmeitz, Antoine, 134

Schreckenberg, Michael, 152

Selvatici, Michele, 226

Semsar-Kazerooni, Elham, 122, 128

Serch, Oriol, 385

Seredynski, Marcin, 170

Shabanpour, Ramin, 716

Shelat, Sanmay, 756

Sidorov, Alexander, 182

Silva, Claudio T., 598

Simeunovic, Milan, 303

Simeunovic, Milja, 303

Sinesi, Stefania, 75

Siri, S., 633

Skabardonis, Alexander, 280

Sohr, Alexander, 821

Spiliopoulou, Anastasia, 37

Stamatiadis, Nikiforos, 86

Stanica, Razvan, 693

Stathopoulos, Antony, 627

Sun, Xin, 63

Tampère, Chris M.J., 345

Tatarelli, Luigi, 439

Tavaszzy, Lorant, 158

Teerhuis, Arjan, 25, 116

Thiel, Christian, 7

Thomas, David W. P., 901

Thunig, Theresa, 804

Tijink, M.B., 687

Tinessa, Fiore, 884, 895

Toledo, Tomer, 262

Toulouki, Maria Anna, 733

Trautmann, Toralf, 339

Tremiterra, Maria Rosa, 421

Tsirimpa, Athena, 497

Tsouros, Ioannis, 497

Ubler, Hagen, 339

Valenti, Gaetano, 379

van Arem, Bart, 844

van der Vliet, Jord P., 351

van Lint, Hans, 351, 744

van Nunen, Ellen, 116

van Oort, Niels, 750

Van Phu, Cyril Nguyen, 651

van Veen, Linda, 158

Verbraeck, Alexander, 158

Verghini, Renata, 856

Verhaegh, Jan, 116

Vigna, Mario, 164

Vitale, Alessandro, 427, 872

Viti, Francesco, 170, 356, 486

Vlahogianni, Eleni I., 232, 733

Wang, Ling, 550

Wang, Pengling, 140

Wehbe, Rania, 574

Widhalm, Peter, 663

Wilson, Nigel H.M., 604

Winter, Konstanze, 844

Wismans, L.J.J., 687

Woo, Suzanne, 639

Wu, Yina, 568

Xie, Xiaoyan, 592

Xiong, Chenfeng, 463

Yan, Fei, 291

Yang, Hao, 520, 544

Zanella, Alberto, 80, 98

Zaninelli, Dario, 327, 391

Zegers, Jeroen, 134

Zegers, Jeroen C., 122, 128

Zegras, Chris, 780

Zero, Luca, 238

Zhang, Lei, 463, 792

Zhu, Yiwen, 604

Zhu, Yongqiu, 146

Zhu, Zheng, 463

Zucaro, Floriana, 421