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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    Title :

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


    Contributors:
    Wu, Xiaodie (author) / Liang, Jiyi (author) / Wang, Yukun (author) / Lei, Youjian (author)

    Conference:

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


    Published in:

    Proc. SPIE ; 12329


    Publication date :

    2022-09-07





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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