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Adaptive Multilevel Collaborative Passenger Flow Control in Peak Hours for a Subway Line

Author

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  • Hongjiao Xue
  • Limin Jia
  • Jianyuan Guo

Abstract

Due to contradiction of large‐scale passenger demand and limited transportation capacity, the passengers who cannot be transported away in time accumulate and congest in stations. To ensure travel safety, improve travel efficiency, and ameliorate waiting environments for passengers, this paper proposes an adaptive multilevel collaborative passenger flow control strategy integrating the control of station entrance and station hall. An integer linear programming model is constructed, which aims at minimizing the total passenger waiting time and taking the safe capacity of each key area of all stations as the necessary constraints. The model is applied in two scenarios with different scales of passenger demand in the morning peak of the Batong line. The results show that the proposed model can adaptively activate the appropriate control level, limit the amount of accumulated passengers in each key area of the station within its safe capacity, and shorten the total passenger waiting time.

Suggested Citation

  • Hongjiao Xue & Limin Jia & Jianyuan Guo, 2020. "Adaptive Multilevel Collaborative Passenger Flow Control in Peak Hours for a Subway Line," Advances in Mathematical Physics, John Wiley & Sons, vol. 2020(1).
    • Handle: RePEc:wly:jnlamp:v:2020:y:2020:i:1:n:3862157
    DOI: 10.1155/2020/3862157
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    References listed on IDEAS

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