M. Schneider, M. Linauer, N. Hainitz, H. Koller:
"Traveller information service based on real-time toll data in Austria";
IET Intelligent Transport Systems, Vol. 3 (2009), Issue 2; S. 124 - 137.

The aim of this work is to demonstrate the suitability of existing toll collection data from the
high-ranking road network in Austria for the generation of traffic information. The
development of an area-wide, high-quality traffic information service in various
implementations as prototypes was target of the project Smart Mobility Analysis of Real-time
Toll-Data (GO-SMART).
In order to achieve feasible travel time estimations detection and rejection of distorting data is
essential. Several methods of outlier detection and filtering have been tested and compared.
An algorithm exhibiting good attributes with regard to effectiveness, feasibility and
performance has been designed and applied to the data. The developed method is adapted to
the specific behaviour and features of the available data that are, amongst others, caused by
system conditions of the tolling system. The proposed method is a combination of moving
average, z-Score and plausibility checks.
For the purpose of displaying fast and up-to-date traffic information a weighted aggregation is
suggested. Weights depend on timeliness and related vehicle type of single observations.
In order to allow jam detection, a similar behaviour of observed vehicles (chargeable heavy
good vehicles) and passenger cars is required in congested situations. This is necessary to
assure the same behaviour of the measured part of the traffic (heavy good vehicles) and of the
overall traffic. The required assumption could be reproduced for single velocity values as well
as for approximation of density-velocity relations.
Prototypes of pre-trip and on-trip traveller information services are presented.

Traveller information service, floating vehicles, travel time, real time traffic information,

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