Network-wide dynamic link flow estimation is one of the challenging questions in transportation research. Most of the previous approaches rely on static or dynamic OD matrices. The proposed data-driven approach tackles the problem of link flow estimation as a local network propagation problem between cross-section measurement sites. Distinct propagation rules consider time-dependent travel speeds, turning fractions at intersections and vehicle gain-loss ratios between links. The rules are derived from recorded vehicle paths originating from a probe vehicle data (PVD) system including data from thousands of vehicles from several different fleets. The proposed approach introduces a algorithm with dedicated propagation rules and measures for evaluating propagation quality. Our approach is evaluated using Austria's nation-wide road network (including freeways, urban and rural roads) with approximately 224,443 links and 16,566 intersections as well as traffic count data from 664 cross-section measurement sites. Results show the general applicability of the approach, but also reveal several challenging situations, which have to be treated with suitable propagation strategies.


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    Title :

    Network-wide link flow estimation through probe vehicle data supported count propagation


    Contributors:


    Publication date :

    2017-10-01


    Size :

    1114680 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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