Abstract

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