Abstract

SFINAG – the Austrian motorway operator – calculates a comprehensive traffic situation, travel time and travel
time forecast for the entire motorway and expressway network in Austria. Over the last few years, the nature of
travel time estimation has evolved rapidly. In addi tion to the ever-increasing number of detection technologies
(Bluetooth, WLAN, CEN DSRC, radar, ultrasound as well as FCD), the different qualities and quantities of
generated data make a more exact and near-time travel time calculation more complex. The goal of the ARMS
project is, to harmonize these data sources and to combine them in the best possible way, so that a comprehensive
travel time estimation is possible on the entire 2200 km-wide motorway and expressway network. This is achieved
on the one hand by intelligent data fusing. On the other hand, data of the ASFINAG event management, roadworks
management and a short-term forecast are also included, in order to be able to provide travel times on motorway
sections as quickly as possible for customers. By harmonizing the input data, different data sources can be
interlinked very well, but can also be dynamically expanded by new detection technologies. In addition to
optimizing the travel time calculation for car and truck traffic, local events leading to traffic restrictions or delays
can also be precisely located and categorized, even down to the exact start and end of congestion. Because this
data is fed back into the ASFINAG event management, the quality of traffic information as well as traffic
management is also significantly improved.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.5281/zenodo.1486433 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
http://dx.doi.org/10.5281/zenodo.1486434 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode


DOIS: 10.5281/zenodo.1486433 10.5281/zenodo.1486434

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Published on 01/01/2018

Volume 2018, 2018
DOI: 10.5281/zenodo.1486433
Licence: Other

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