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.
Highlights
With the acceleration of urbanization and increase of urban population in China, more and more passengers choose to travel via a subway system that is characterized by large capacity, fast speed, and high efficiency
The multilevel collaborative passenger flow control strategy integrating the control of station entrance and station hall was investigated to ameliorate the waiting environment for passengers
In order to keep transport efficiency, an adaptive multilevel collaborative passenger flow control model is proposed with the total passenger waiting time including the waiting time on the platform and the other key area of the station as the objective
Summary
With the acceleration of urbanization and increase of urban population in China, more and more passengers choose to travel via a subway system that is characterized by large capacity, fast speed, and high efficiency. Large numbers of passenger surge into the subway system during peak hours and the stations are overcrowded due to the limited transport capacity, which may lead to potential safety problems such as door squeezing, passengers falling into the tracks, and trampling [4, 5]. As a practical and effective method to avoid overcrowding and ensure safe operation at subway stations, has been widely implemented at subway stations during peak hours in some metropolises of China [6]. To our knowledge, they only control passenger flow that concerns the station they managed and mainly rely on their subjective work experience They pay Advances in Mathematical Physics less attention to travel efficiency and the waiting environment of passengers. It is necessary to explore a more accurate passenger flow strategy that can achieve the following goals for passengers: ensure travel safety, improve travel efficiency, and ameliorate waiting environments
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