针对城市轨道交通换乘车站的客流控制展开研究，提出进站流量控制和换乘绕行相结合的多方式客流控制模型。模型以乘客平均停留时间最小为目标，并且满足站台人数在安全限制内。使用多子群混合粒子群算法对模型进行求解。模拟国贸车站早高峰大客流场景进行实验，实验求解过程收敛快且稳定；实验对比分析无客流控制、常态进站客流控制与多方式客流控制的不同指标数值，证明多客流控制方案的必要性以及模型的可行性与有效性。

This paper studies the passenger flow control of an urban rail transit transfer station and proposes a multimode passenger flow control model combining inbound flow control and a roundabout at transfer. The model aims at minimizing the average staying time of passengers and satisfies the requirement that the number of passengers on the platform is within the safety limit. A particle swarm optimization algorithm is used to solve the model. The significant passenger flow in the morning peak hours at Guomao Station is simulated. The converging during the process of model solution is fast and sTab.. The results of experiments are compared and analyzed under the conditions of no passenger flow control, normal inbound passenger flow control, and multimode passenger flow control. The results prove the necessity of multimode passenger flow control and the feasibility and effectiveness of the model proposed in this paper.

U121

国家重点研发计划课题(2016YFB1200402-002)