Highway vehicle weaving analysis aims to determine the percentage and number of vehicles changing lanes from origin to destination on a highway segment. Vehicle weaving often slows traffic, causes jams, and increases safety concerns. Quantitative lane-based highway weaving patterns analysis is crucial for traffic management and road improvement. However, there is currently no cost-effective tool to obtain lane-based vehicle weaving data. This paper describes a method combining machine learning with convenient user verification to achieve accurate weaving analysis using field camera videos. The effectiveness of this approach has been demonstrated in experimental results, and a software tool has been deployed to the Indiana Department of Transportation.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Highway Origin-Destination Vehicle Weaving Analysis Using Field Camera Videos


    Contributors:
    Lin, Wei (author) / Qiu, Mei (author) / Chien, Stanley (author) / Christopher, Lauren (author) / Chen, Yaobin (author)


    Publication date :

    2024-09-24


    Size :

    1423344 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English