The recent emergence of automatic vehicle identification technology (AVI) for use in electronic toll collection has provided an opportunity to develop automatic incident detection (AID) methods that rely on individual vehicle travel time data instead of loop detector data. The performances of three AVI-based AID algorithms are examined. Travel time data for testing of the algorithms were obtained by simulating a 12-km section of the collector facility of Highway 401 in Toronto, Ontario, Canada. The performances of the three AVI-based AID algorithms are compared with the performance of a leading loop detector–based algorithm, which was independently tested with similar simulated data. The AID performance results indicate that AVI-based AID algorithms can provide incident detection performance similar to that of existing loop detector-based AID methods.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Automatic Vehicle Identification Technology-Based Freeway Incident Detection


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2000-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Real Time Freeway Incident Detection

    M. Motamed / R. Machemehl | NTIS | 2014



    Sampling Strategies for Probe-Vehicle-Based Freeway Incident Detection Algorithms

    Cheu, Ruey Long / Tay, Germaine Chi Wen | Transportation Research Record | 2004