Quarterly Review May 8, 2012 Real-Time Data Capture and Management Program Dynamic Mobility...

Quarterly Review

May 8, 2012

Real-Time Data Capture and Real-Time Data Capture and Management ProgramManagement Program

Dynamic Mobility Applications Dynamic Mobility Applications ProgramProgram

2U.S. Department of Transportation

Agenda

Data Capture and Management (Dale Thompson) 1:00-1:35 PM□ Key Program Accomplishments□ Innovations Scan: Lessons Learned and Findings□ Research Data Exchange: Next Steps□ Financial and Project Status Summary

Dynamic Mobility Applications Program (Kate Hartman) 1:35-2:10 PM□ Key Program Accomplishments□ Application Bundle Development Update□ Stakeholder/Outreach Summary□ Financial and Project Status Summary

DCM+DMA Joint Topics 2:10-2:30 PM□ Issues and Items for Senior Management Attention□ Phase 2 Integrated Research Plan


Program StatusProgram Status

FOUNDATIONAL ANALYSISPHASE 1

Program Activity Area

Data Capture and Management and Dynamic Mobility Applications Programs: Integrated Roadmap

Decision Point

LEGEND:

DCM/DMA Integrated Roadmap v0.5 (1/24/2012)

Real-WorldApplication Demonstrations

Organizing and UtilizingConnected Vehicle Data

Defining, Prototyping and Testing Applications

RESEARCH, DEVELOPMENT & TESTING PHASE 2

DEMONSTRATION PHASE 3

9/09

Phase 3Demo SitesDownselect

Phase 3 Demonstration(s)

Safety Pilot Model Deployment

RDEData Feed

9/11 9/13

Develop Research Data Exchange

9/15

Maintain and Enhance Research Data Exchange

Research Data Exchange

Mobility Benefits Evaluation

Define Mobility Measures

v1 v2 v3 v4BSM Assessment

Research Data Exchange(RDE)

Prototype Data Environment

Develop and Refine Tools/Analytics For Impacts Assessment

Assess App. Impact -- Models Assess App. Impact -- Demos

Phase 2ApplicationsDownselect

Application Prototyping and TestingApplications Identification

Demo Coordination Planning Other Demonstrations (e.g, FDOT)Data to RDE

Determine Application Data and Communications Needs

Standards Planning and DevelopmentRole of Standards Standards Testing and Assessment

Downselect Applications Ready for Demonstration

Define Implementation State Data Environment(s)

Data to RDE

CONOPS

Mobility Demo PlanningBSM DATA ANALYSIS

EST. IMPACT MEASURED IMPACT

v5

Data to RDE

APPLICATIONDESCRIPTIONS

BSM Assessment/OEM Engagement

BSM Assessment Papers

preliminary

v1 v5

final Key Activity Informing BSMAssessment

Data Environment

MobilityApplications


Data Capture and Management Program:Key Accomplishments (11/11-5/12)

Initiated Research Data Exchange (RDE) development effort, 12/1□ RDE to be launched at ITS America, 5/21

Acquired Test Data Sets from four sites, 1/1□ Portland, Seattle, Pasadena, San Diego□ These data will be available on RDE

US-Japan Probe Data: Research plan and annotated outline of research report agreed upon by USDOT and MLIT, next US-Japan Task Force meeting 5/25

Safety Pilot data workshop held 3/6-7, coordination effort now expanded to include discussion of contextual and non-vehicle data with UMTRI

Data Business Plan completed summary of stakeholder interviews regarding surface transportation data-related efforts across FHWA/USDOT, 4/9

Completed Innovation Scan project (11/11)□ Lessons learned influencing RDE development, other efforts


Innovations Scan: Lessons Innovations Scan: Lessons Learned and Learned and

RecommendationsRecommendations


Innovations Scan Project

Assessed industry best practices in data capture and management methods and technologies that are applicable to the DCM Program

Identified four "most promising" emerging concepts and technologies USDOT Lead: Mohammed Yousuf (FHWA R&D) Contractor: SAIC/Delcan/University of Virginia (PI: Dick Mudge) POP: 9/22/10-11/30/11


Data Capture Challenge: Bandwidth OverloadInnovation: DIDC Issue: Potential data explosion due to new forms of data will likely over-

burden the computational and communication systems□ Large volumes of data with connected vehicles, infrastructure, and travelers

▪ Approximately 1.2 MB of accelerometer data generated per vehicle per mile (Source: Cooperative Transportation Systems Pooled Fund Study on Pavement Assessment by Auburn University)

▪ Translates to 2 TB of data per day just for pavement assessment for Washington, DC

□ Capturing, transmitting, cleaning, and storing large volumes of data can over-burden the system and be cost-prohibitive

Innovation: Dynamic Interrogative Data Capture (DIDC)


Dynamic Interrogative Data Capture (DIDC)

Each device (in a vehicle, on the infrastructure, or on a person) can set and reset message priorities to different data elements

Each device can intelligently and dynamically decide on data aggregation levels and transmission frequencies, based on its own state (local conditions) as well as the state of the network (global conditions)

Each device can query other devices in its vicinity, depending on its data needs, and request certain data aggregation levels

Wireless Sensor Networks (WSNs):Adaptive management of

data flow in complex systems

MoteTechnology

Example WSN Topologies

Example of DIDC Concept

Value to DCM: Can cut communications and energy costs up to 99% compared with fixed interval approaches -- with same impact (defense applications)

Challenges: Adapting and structuring an analog system for transportation, determining potential benefits


Data Capture Challenge: Data from TravelersInnovation: Crowdsourcing Issue: Envisioned transformative applications require new forms of real

time and archived data that are extremely costly to obtain, or create possible privacy conflicts if required from all vehicles or travelers

Innovation: Crowdsourcing Practice of tapping into the collective intelligence of the public at large to

complete tasks that a company would normally either perform itself or outsource to a known entity (blend of crowd and outsourcing)

When is crowdsourcing beneficial? Benefits• Need massive amounts of real-time data• Need continuous temporal and spatial data • Create data archives• Solve challenging problem• Need innovation

• Improves productivity• Minimizes labor and research expenses• Consumers involved in creating product


Crowdsourced Traveler Data

Inrix: provides traffic information using crowdsourced traffic data)

▪ crowdsources data from 3 million GPS enabled vehicles and devices covering 450,000 miles of roadways

Waze: provides 100% crowsourced, free real-time traffic information on mobile devices

▪ crowdsources data from GPS enabled vehicles of volunteers for real-time traffic information and maps (passive participation is sufficient)

▪ crowdsources data for map correction (requires active participation)

Image Source: http://www.Inrix.com

Image Source: http://www.waze.com

Value to DCM: Opt-in crowdsourcing could lead to systematic capture of traveler trip data including itinerary and traveler behavior/response data(transform ATIS and multi-modal corridor management?)

Challenges: Structuring public-private partnerships, privacy


Data Management Challenge: Large Volumes of DataInnovation: Virtual Data Warehousing Issue: Large volumes of diverse spatial data call for new methods of data

management□ Infrastructure costs, operations and maintenance costs, storage costs, labor

costs can quickly add up□ Wide range of multi-source data needs to be widely accessible to integrate

systems (e.g., signal systems, traveler information systems, transit operations)

Innovation: Virtual Data Warehousing (VDW)Concepts□ Cloud Computing□ Data Federation


Cloud Computing

"Model for enabling ubiquitous, convenient, on demand network access to ‐a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction" (Source: National Institute of Standards and Technology (NIST)) Image Source: http://infreemation.net/cloud-

Computing-linear-utility-or-complex-ecosystem

Value to DCM: For RDE, increased flexibility, reduced costs, improved scalability, location independence

Challenges: Security, potential data transfer bottlenecks, data consistency


Data Federation

Form of data virtualization where data from multiple, heterogeneous, autonomous data sources are made accessible to data consumers as if it is contained in one single relational database, by using on-demand data integration

Value to DCM: incorporates data from many sources without issues associated with centralized services, local data experts maintain local data,brings data to users rapidly and consistently

Challenges: Interfaces and IP rights must be carefully defined, security


Capitalizing on Innovation:Related Next Steps Dynamic Interrogative Data Capture

□ Concept development white paper

Crowdsourcing□ Nomadic platform testing

Data Federation and Cloud Computing□ RDE currently being developed in cloud environment□ Opportunities to test federation with the RDE identified

▪ FDOT SunGuide system▪ UMTRI (Safety Pilot Data)▪ Clarus


RDE Next Steps and RDE Next Steps and Agile DevelopmentAgile Development


RDE Development: Next Steps

Complete transition of PDE content to RDE Prepare test data sets (Portland, Seattle, Pasadena, San Diego) for RDE

□ Standardize meta-data□ Load into cloud-based RDE

Demonstrate at ITS America, Mobility Workshop (5/21-24) Update and enhance the RDE using agile approach


Agile Development

Agile software development is a proven IT industry practice, but new for ITS program sponsored initiatives

Incremental development based on backlog of desired features□ In each 2-4 week sprint, new features selected from the backlog are tested and

implemented into a working version Agile approaches are most successful when there is uncertainty about how users

will utilize the product, and can be developed over time□ RDE and DMA Open Source Portal using agile development

So far so good – we will report lessons learned next review

Dynamic Mobility Applications Dynamic Mobility Applications ProgramProgram

Program StatusProgram Status

FOUNDATIONAL ANALYSISPHASE 1

Program Activity Area

Data Capture and Management and Dynamic Mobility Applications Programs: Integrated Roadmap

Decision Point

LEGEND:

DCM/DMA Integrated Roadmap v0.5 (1/24/2012)

Real-WorldApplication Demonstrations

Organizing and UtilizingConnected Vehicle Data

Defining, Prototyping and Testing Applications

RESEARCH, DEVELOPMENT & TESTING PHASE 2

DEMONSTRATION PHASE 3

9/09

Phase 3Demo SitesDownselect

Phase 3 Demonstration(s)

Safety Pilot Model Deployment

RDEData Feed

9/11 9/13

Develop Research Data Exchange

9/15

Maintain and Enhance Research Data Exchange

Research Data Exchange

Mobility Benefits Evaluation

Define Mobility Measures

v1 v2 v3 v4BSM Assessment

Research Data Exchange(RDE)

Prototype Data Environment

Develop and Refine Tools/Analytics For Impacts Assessment

Assess App. Impact -- Models Assess App. Impact -- Demos

Phase 2ApplicationsDownselect

Application Prototyping and TestingApplications Identification

Demo Coordination Planning Other Demonstrations (e.g, FDOT)Data to RDE

Determine Application Data and Communications Needs

Standards Planning and DevelopmentRole of Standards Standards Testing and Assessment

Downselect Applications Ready for Demonstration

Define Implementation State Data Environment(s)

Data to RDE

CONOPS

Mobility Demo PlanningBSM DATA ANALYSIS

EST. IMPACT MEASURED IMPACT

v5

Data to RDE

APPLICATIONDESCRIPTIONS

BSM Assessment/OEM Engagement

BSM Assessment Papers

preliminary

v1 v5

final Key Activity Informing BSMAssessment

Data Environment

MobilityApplications


Dynamic Mobility Applications Program:Key Accomplishments (11/11-5/12)

Completed four application bundle Concepts of Operations/Operational Concepts□ FRATIS, EnableATIS, IDTO, INFLO

M-ISIG bundle development effort initiated by Cooperative Transportation System (CTS) Pooled Fund Study (Virginia DOT, lead), 2/27

Initiated Open Source Portal implementation effort, 3/12□ ConOps and Systems Requirements effort completed, 12/1

Continued program of extensive stakeholder engagement□ Initiated a new task with the VIIC, held a Mobility 101 briefing, 3/20□ CTS Pooled Fund briefing on BSM, 3/25□ 19 bundle-specific stakeholder workshops and other events

Completed BSM Assessment white paper Ver. 1, 2/12


Freight Advanced Traveler Information System (FRATIS): Concepts and Potential Impacts

FRATIS App: Freight-Specific Dynamic Travel Planning and Performance□ Enhances traveler information systems to address

specific freight needs□ Integrates data on wait times at intermodal facilities

(e.g. ports), incident alerts, road closures, work zones, routing restrictions (hazmat, oversize/overweight)

FRATIS APP: Drayage Optimization□ Optimize truck/load movements between

freight facilities, balancing early and late arrivals□ Individual trucks are assigned time windows for

pick-up or drop-off

10-year transformative impact targets□ Reduce truck travel times, 17%□ Reduce bobtail (empty) trips, 15%□ Reduce terminal wait times, 35%□ Reduce freight-involved incidents, 35%□ Reduce fuel consumption/emissions, 10%

FRATIS USDOT Lead: Randy Butler (FHWA Office of Operations)


FRATIS Mobility Application Bundle:Accomplishments and Next Steps

Accomplishments□ ConOps completed, System

Requirements walkthrough held 5/1□ Strong IFTWG stakeholder interest

for early prototyping (Los Angeles, Miami)

□ Interest in FRATIS bundle to support evacuation planning (Miami)

Public Sector

Private Sector

Data Integration

Regional Public-Private Partnership

FRATIS IT Toolkit

• ConOps, Architecture, Use Cases• FRATIS Baseline API’s• FRATIS Baseline Web and AED Apps• FRATIS Testing Best Practices Guide

and Performance Criteria• FRATIS Business Plan

Third Party Truck-Specific Movement Data

• Real-Time Speed Data from Fleet Management Systems GPS Data

• Cell Phone and/ or Bluetooth Movement/ Speed Data

• Truck Parking Availability

Intermodal Terminals Data

• Queue Length (Including Video)

• Container Availability Status

Regional ITS Data

Sources

Types• Real-Time Freeway Speeds and

Volumes

• Real-Time Key Arterial Speeds and Volumes

• Incident Information

• Road Closure Information

• Route Restrictions/ Bridge Heights

• Regional 511 Systems

• MPO

• State DOT

• Cities

• Port Authorities

• Enforcement Agencies

• Service Patrols

Future U.S. DOT Connected Vehicle Data

• Road Weather Management – Route Specific Conditions and Forecasts

• “Probe Data”From V-V and V-I Connected Vehicle Technologies

• V-IV & V-I Safety Applications Data

FRATIS Basic Applications

• Dynamic Travel Planning and Performance

• Intermodal Drayage Operations Optimization

– Based on Open Source Data and Services

FRATIS Commercial Applications

• Dynamic Travel Planning and Performance

• Intermodal Drayage Operations Optimization

– Value Added Services with Target Markets (For Profit)

API’s and/ or Web Services

USDOT Open Source Web Portal Next Steps□ Prototyping activity preparing for procurement□ Considering RFA/RFP supporting prototyping in up to two sites

Cross-cutting needs identified□ Application Enabled Device (AED), carry-in device to convey information to drivers

when planning trips pre-trip or en route (without distraction)□ Dual-mode BSM-generating device to assess value of BSM concepts in meeting

FRATIS data needs (in concert with other data sources)

FRATIS System Concept Diagram(from ConOps)


Intelligent Dynamic Transit Operations (IDTO): Concepts and Potential Impacts

IDTO App: Dynamic Transit Operations (T-DISP)□ Links available transportation service resources with travelers

through dynamic transit vehicle scheduling, dispatching and routing capabilities

IDTO App: Connection Protection (T-CONNECT)□ Enable coordination among public transportation providers and

travelers to improve the probability of successful transit transfers

IDTO App: Dynamic Ridesharing (D-RIDE)□ Uses dynamic ridesharing technology, personal mobile devices,

and voice activated on-board equipment to match riders and drivers

10-year transformative impact targets□ Increase percentage of connections requested and then

made that involve fixed and flexible modes to 90%□ Reduce duration of time from making a request to receiving

a trip confirmation to 45 seconds□ Reduce passenger wait time to less than 10 minutes

IDTO USDOT Lead:Ron Boenau (FTA)


IDTO Mobility Application Bundle:Accomplishments and Next Steps

Accomplishments□ Stakeholder webinar, 11/2□ Stakeholder workshop held concurrent with 2012

TRB Annual Meeting (1/26-27)□ ConOps completed, ConOps walkthrough held 4/16

Next Steps□ Finalize System Requirements, July□ Prototyping RFA/RFP to examine IDTO application

synergies across bus, rail and ridesharing options

Cross-cutting needs identified□ Dual-mode BSM-generating device to assess value of BSM concepts in meeting IDTO

data needs (in concert with existing data and communications, e.g., AVL)□ Test vehicle-device integration (e.g., distinguish transit passengers from pedestrians)□ Examine data gap associated with traveler itinerary and trip flexibility

T-CONNECTOperational Concept(from ConOps)


EnableATIS:Concepts and Potential Impacts

10-year transformative impact targets□ Widespread availability of end-to-end trip planning and management applications

(integrating time of departure, cost, mode, route, and parking decisions)□ Emergence of at least one state-of-the-art corridor or regional transportation

management systems utilizing systematically obtained traveler trip data

EnableATIS USDOT Lead:Bob Rupert (FHWA)

WeatherData

Traveler Decisions

Itinerary Data

M2VIntegration

Increasingly Capable Mobile Platforms and Services Will Transform ATIS (EnableATIS OpCon)

EnableATIS Operational Concept identified high-value federal roles and activities□ Not applications, as in other bundles

Nomadic Platform Concept□ Originally envisioned as a challenge, now the

program is considering a phased BAA approach to acquire devices for testing in 2013

□ Gather or infer decisions/itinerary data from adaptive interaction with the traveler

□ Devices may obtain or infer vehicle status data when carried into a vehicle(e.g., obtain external temperature by using a camera to read dashboard display)


EnableATIS Mobility Application Bundle:Accomplishments and Next Steps

Accomplishments□ Operational Concept completed, 4/9

Next Steps□ Utilize Test Data Sets in a no-reward challenge or

BAA to develop multi-modal traveler applications□ Initiate outreach to crowdsourcing application

developers to explore concept of systematic collection of traveler itinerary/behavioral data

□ Specify and procure nomadic platform prototypes

Cross-cutting needs identified□ Explore use of mobile device data to better anticipate traveler response to

information for corridor/system management□ Utilize BSM-capable devices in experiments conducted in test beds□ Examine vehicle-device integration, role of J2735 probe data process□ Remotely configurable devices can test DIDC concept, tailoring data generation to

dynamic data needs

Enable ATIS Operational Laissez-Faire Scenario (from OpCon)


Intelligent Network Flow Optimization (INFLO):Concepts and Potential Impacts

INFLO App: Speed Harmonization (SPD-HARM)□ Dynamically adjust and coordinate vehicle speeds in response to

congestion, incidents, and road conditions to maximize throughput and reduce crashes

□ Recommend speeds by lane, by vehicle weight and size, by pavement traction

INFLO App: Cooperative Adaptive Cruise Control (CACC)□ Dynamically adjust and coordinate cruise control speeds among

platooning vehicles to improve traffic flow stability and increase throughput

□ Closely link with SPD-HARM to reduce shockwaves

INFLO App: Queue Warning (Q-WARN)□ Provide drivers timely warnings and alerts of impending queue backup,

V2I and V2V

10-year transformative impact targets□ Improve throughput (veh/hr) in CACC lane by 50%□ Reduce unreliability (planning time index) by 25%□ Reduce primary crashes 25%, secondary crashes 50%□ Reduce fuel consumption, emissions by 25%

INFLO USDOT Lead:Mohammed Yousuf (FHWA)

SPD-HARM

CACC

Q-WARN


INFLO Mobility Application Bundle:Accomplishments and Next Steps

Accomplishments□ Broad interest and participation in

stakeholder webinar 12/8, user needs workshop 2/8

□ ConOps completed, walkthrough held 4/27 with VIIC in Detroit

Upcoming Deliverables□ System Requirements, August 2012

Next Steps□ Leverage speed harmonization research planned at TFHRC and continue

coordination with FHWA ATDM program□ Prototype INFLO bundle components using BSM Part 1 (CACC) and augmented BSM

to support speed harmonization and queue warning

INFLO Vision (from ConOps)


Multi-Modal Intelligent Traffic Signal System(M-ISIG Bundle): Concepts and Project Status

M-ISIG App: Intelligent Traffic Signal System (I-SIG)□ Overarching system optimization application

accommodating signal priority, preemption and pedestrian movements

M-ISIG App: Transit Signal Priority (TSP)□ More accurate monitoring of transit vehicles through

intersections and corridors for priority M-ISIG App: Mobile Accessible Pedestrian Signal

System (PED-SIG)□ Automated pedestrian call sent to the traffic controller

from the smart phone of registered users M-ISIG App: Freight Signal Priority (FSP)

□ Provides signal priority along an arterial corridor near a freight facility M-ISIG App: Emergency Vehicle Preemption (PREEMPT)

□ Adjusts preemption and signal recovery cycles under multiple emergency responses

Project Status□ Jointly funded by Cooperative Transportation System Pooled Fund Study (CTS PFS) and the

DMA Program, CTS PFS includes FHWA, VDOT and state and local agencies□ ConOps, SyRS and Test Planning will carry forward to Spring 2013, follow-on prototyping in

Arizona and California test beds in 2013

M-ISIG USDOT Lead:Ben McKeever (FHWA)


Response, Emergency Staging and Communications, Uniform Management, and Evacuation (R.E.S.C.U.M.E.) App: Incident Scene Pre-Arrival Staging Guidance for

Emergency Responders (RESP-STG)□ Situational awareness information to responders while

en route App: Incident Scene Work Zone Alerts for Drivers and

Workers (INC-ZONE)□ Alerts drivers of lane closings and unsafe speeds for

temporary work zones □ Warns on-scene workers of vehicles with trajectories or

speeds that pose a high risk to their safety App: Mayday Relay (MAYDAY)□ Sends crash notification to a roadside DSRC hot spot App: Emergency Comm. and Evacuation (EVAC)

□ Addresses needs of evacuees with and without their own transportation

Project Status□ Draft ConOps in development□ Likely to focus on temporary work zone management (INC-ZONE) and incident response

staging (RESP-STG) applications for prototyping in 2013□ Build off of cross-cutting device development, particularly BSM generating mobile device for

responders

R.E.S.C.U.M.E USDOT Lead:Linda Dodge (ITS JPO)


Open Source Portal Vision(from ConOps)

Open Source Applications Development Portal:Project Status and Next Steps

Accomplishments□ Stakeholder needs assessment,

ConOps and SyRS task completed□ Implementation task initiated, 3/12

Next Steps□ Finalize draft governance

and licensing, May 2012□ Initiate agile development for

initial prototype,June 2012

□ Go-live for Open Source Portal,September 2012

Cross-cutting roles for the Open Source Portal in Phase 2□ Support traveler information applications developed in EnableATIS phased BAA□ House and maintain algorithms and code from prototyping efforts

▪ E.g., use of single connected-vehicle algorithm predicting arrival times of vehicles in intersections (useful for multiple M-ISIG applications)

□ Distribute code developed for mobile devices, including BSM emulation and DIDC prototypes

Quarterly Review May 8, 2012 Real-Time Data Capture and Management Program Dynamic Mobility...

Documents

Transcript of Quarterly Review May 8, 2012 Real-Time Data Capture and Management Program Dynamic Mobility...