The network optimization of subway station bottleneck based on the queuing theory

The impact of the bottleneck is obvious duringthe peak period because of the limited capacity and the strong cluster effect of subway passenger. The bottleneck facility can affect the overall operational efficiency of the station and decrease the comfort of passengers. The objective of this paper is to improve the efficiency of the whole network in the station by analyzing the passengers queuing characteristics of different facilities and to adjusting the high-density passenger flow. The performance of finite queuing network in the subway station is well evaluated based on M/G/C/C state-dependent space model and M/M/C/C model. The queuing model is well employed to analyze the procedure of passenger movement, calculate the key parameters at certain area and identify the bottleneck. The method of multipoint interlink control method is applied to optimize passenger flow distribution at bottlenecks. According to the facility layout and passenger flow characteristics of the typical streamline network, an optimal scheme for the mitigation was designed. Case study of the subway stations in Beijing were implemented to verify the validity and practicability of the proposed method.