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ARMS – Asfinag Traveltime Management System

Authors: Thomas Mariacher; Katharina Bretis; Bernd Rainer; Peter Hrassnig; Felix Pletzer;

ARMS – Asfinag Traveltime Management System

Abstract

ASFINAG – 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.

Keywords

travel time, traffic state, data fusion

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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