A Study on Passenger Flow Control Scheme for Single-line Multi-station Urban Mass Transit Considering Passenger Flow Loss.

The volume of inbound passenger flow at urban rail stations during peak hours is often excessive, which poses potential safety hazards to passengers. In addition, it also reduces the fairness of passenger services at the various stations and leads to inconvenience in the operation of these stations. Therefore, a nonlinear multi-objective planning model with the constraints of the maximum passenger density in the waiting area, the maximum section carrying capacity, and the passenger flow control coefficients are established to find the optimal flow control scheme. The model aims to minimize the variance of the average passenger dwell time and the count of lost passengers at all stations of the line. A hybrid simulated annealing particle swarm optimization algorithm (SA-PSO) is designed to solve the model. The up direction of Shenzhen Urban Mass Transit Line 4 is adopted here as an example for research. The research results indicate that the optimal passenger flow control scheme can effectively reduce the sum of lost passengers and maintain passenger density within the safety range in all waiting areas at each station. Additionally, it is observed that under the optimal passenger flow control scheme, the average dwell time of all stations is more balanced. Overall, the optimized flow control scheme is more effective in coping with large urban rail passenger flows than several no flow control and non-optimized flow control schemes. [ABSTRACT FROM AUTHOR]