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

Xiaodie Wu; Jiyi Liang; Yukun Wang; Youjian Lei

doi:10.1117/12.2646791

7 September 2022 Design of the passenger flow collection device of the intelligent scheduling system of public traffic vehicles

Xiaodie Wu, Jiyi Liang, Yukun Wang, Youjian Lei

Author Affiliations +

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 123293M (2022) https://doi.org/10.1117/12.2646791
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

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.

Citation Download Citation

Xiaodie Wu, Jiyi Liang, Yukun Wang, and Youjian Lei "Design of the passenger flow collection device of the intelligent scheduling system of public traffic vehicles", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 123293M (7 September 2022); https://doi.org/10.1117/12.2646791

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