1. Cargo Movements on Austria„s
Road Network (iMOVE)
EUROSTAT, Oct 11, 2012

2. 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 Network characteristics
and production forecasts
 A series of connected sub-models  Overall 243.000 km (o. w.
with a detailed network at its 109.000 road, 84.000 rail)
core to map actual and  Austria 32.300 km (o. w. 26.000
road, 6.300 rail)
forecasted O/D flows  2412 counties/municipalities in
Austria; 216 NUTS3 / NUTS0
 Actual O/D data essentially regions in Europe
recompiled periodically (current
version 2009)
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3. 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
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4. Main objectives of the iMOVE project
Improve the production process and the quality of
the O/D flow matrices
 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

5. 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)
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
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)
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6. Planned production process
Traffic survey‘s Traffic counts
Cross Alpine European Toll Data Traffic Count
Freight Road Freight Records Data
Austrian Road
Combine &
Freight
Statistics disaggregate Map flows onto
network graph
Calibration using the Network Model
Analyze and correct deviations

7. 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.
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8. Backup
Page  8

9. Tolls collected if gross vehicle weight exceeds 3.5 tons
Multilane free-flow
system using micro
wave technology
Usage dependent toll
Category 2 Category 3 Category 4+
Rate group
2 axles 3 axles 4 and more axles
A EURO emission classes
0.146 0.2044 0.3066
EURO EEV & VI
B EURO emission classes
0.156 0.2184 0.3276
EURO IV & V
C EURO emission classes
0.178 0.2492 0.3738
EURO 0 to III
Rates in EUR per kilometer driven (excl. 20 % VAT)
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10. Derivation of boundary conditions using toll information
VZk
VZi
QZs ASTn
ASTl
A&S-Netz
VZj
ASTm
QZt
Page  10

11. Distribution of travel time between successive toll stations
Type A
Without rest areas / gas stations
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12. Challenge: distribution of travel time …
Type B
With rest areas / gas stations
Page  12

13. Challenge: distribution of travel time …
Type C
With shopping centers/ business parks
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