As a key measure of efficiency in the transportation sector, passenger flow collection in the intelligent scheduling system of public traffic vehicles is an important basis for planning, scheduling and forecasting in transportation services. In order to improve the accuracy of public transport passenger flow collection, an automatic passenger flow collection method using infrared sensors is presented. The method is highly accurate and low cost, and it uses neural network algorithms for pattern recognition, which results in an accuracy rate of 97% according to experimental statistics.


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    Titel :

    Design of the passenger flow collection device of the intelligent scheduling system of public traffic vehicles


    Beteiligte:
    Wu, Xiaodie (Autor:in) / Liang, Jiyi (Autor:in) / Wang, Yukun (Autor:in) / Lei, Youjian (Autor:in)

    Kongress:

    Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022) ; 2022 ; Changsha,China


    Erschienen in:

    Proc. SPIE ; 12329 ; 123293M


    Erscheinungsdatum :

    07.09.2022





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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