EUROSTAT Presentation

Cargo Movements on Austria‘s Road Network (iMOVE)

EUROSTAT, Oct 11, 2012

Austria‘s traffic model (current & future)

Used by the national & state authorities to plan infrastructure projects

Passenger & cargo induced road and rail traffic considering public as well as private transport

Forecast of volumes based on demographic projections, trade and production forecasts

A series of connected sub-models with a detailed network at its core to map actual and forecasted O/D flows

Actual O/D data essentially recompiled periodically (current version 2009)

Network characteristics

Overall 243.000 km (o. w. 109.000 road, 84.000 rail)

Austria 32.300 km (o. w. 26.000 road, 6.300 rail)

2412 counties/municipalities in Austria; 216 NUTS3 / NUTS0 regions in Europe

Perceived weaknesses of the current approach

The model‘s empirical foundation

Insufficient accuracy of total transportation volume

Output of transportation sector 2004 estimates range between 363,5 and 415,8 mio. t/km depending on source

Underestimation by the European Road Freight Statistics ?

Inhomogeneous data collections Spatial differences (NUTS3, highway sections, counties)

Methodological differences between countries in collecting national road traffic data

Periodical differences (quarterly, yearly (t+1), every four years) between surveys

Laborious, expensive production process of base data

Main objectives of the iMOVE project

Combine & harmonize different surveys

Incorporate highway toll data into the O/D flows trips / between counties per truck category per day

Calibrate the O/D flows, using traffic count numbers of permanent counting stations

[Verify and consider the hypothesized growth in multimodal movements]

Prototype a repeatable data production process

Improve the production process and the quality of the O/D flow matrices

Major data sources used to compile the O/D matrix

Austrian Road Freight Transport Statistics (SGVS) Sampling based on Austria‘s Vehicle Registry Political District Level Assumed underestimation (foreign (non EU) trucks/non-

response)

European Road Traffic Statistics (D-Tables) Only trucks registered nationally are surveyed, combined at

EU level Movements at NUTS3 level Assumed underestimation (foreign (non EU) trucks/non-

response)

Toll data records & Traffic counts Complete set of records collected at gantries for 2009

(highways) Traffic count data using automatic permanently installed

systems (primary & secondary roads)

Cross Alpine Freight Data (CAFT) All trucks, irrespective of nationality are surveyed Survey performed by Alpine nations every 4 years (O/D,

cargo) Performed at border crossings and major mountain passes

Planned production process

Calibration using the Network Model

Analyze and correct deviations

Valid annual O/D matrices

Traffic survey‘s

European Road Freight

Austrian RoadFreight

Statistics

Combine & disaggregate

Stage 1 O/D flows

Cross Alpine Freight

Toll Data Records

Traffic Count Data

Traffic counts

Stage 2 O/D flows

Map flows onto network graph

Experiences, Status

Combining different survey‘s and traffic count information

Reconciling different value sets used in surveys to describe the same properties: Truck sizes, cargo types, goods classifications

Harmonizing, separating the use of different NUTS3 levels for origin and destination

Measuring the number of movements between two “traffic cells”

Derivation of journey’s from data collected at toll bridges

Disaggregating journeys from reported levels to „traffic cells“, using ecological inference approach.

Calibrating the route allocation of movements to road links

Minimizing deviations between calculated and counted traffic per link observing O/D movement bounds using non-linear optimization.

Backup

Multilane free-flow system using micro wave technology

Tolls collected if gross vehicle weight exceeds 3.5 tons

Rate groupCategory 2

2 axlesCategory 3

3 axlesCategory 4+

4 and more axlesA EURO emission classes EURO EEV & VI

0.146 0.2044 0.3066

B EURO emission classes EURO IV & V

0.156 0.2184 0.3276

C EURO emission classes EURO 0 to III

0.178 0.2492 0.3738Rates in EUR per kilometer driven (excl. 20 % VAT)

Usage dependent toll

Derivation of boundary conditions using toll information

A&S-Netz

ASTn

ASTm

VZj

QZt

ASTl

VZk

QZs

VZi

Distribution of travel time between successive toll stations

Type A Without rest areas / gas stations

Challenge: distribution of travel time …

Type B With rest areas / gas stations

Challenge: distribution of travel time …

Type CWith shopping centers/ business parks

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