研究了高峰时段列车运行的衔接协调对换乘站候车客流量的优化问题。首先分析了换乘站各站台候车客流的组成因素，确定出各运行方向的换乘站台内客流量随时间变化的规律。然后，以时段内换乘站候车客流量的最大值最小为目标，建立优化模型。模型以站台最大可容纳候车人数为约束条件，以各方向列车在换乘站的到达时刻为调整对象，实现了高峰时段换乘站内聚集客流的优化。最后，针对验证案例，设计了遗传算法进行求解，得出了协调较优解，并给出与较劣解的对比分析。结果表明，该优化方法能够有效降低换乘站内的候车客流人数，可为网络化的优化协调工作提供参考。%Optimization for the number of waiting passengers in transfer station by coordinating trains’ arriving time in the rush hour is studied. Firstly, it analyzes each factor which had influence on the passengers in each platform, and obtains formulas to describe the variation of waiting passengers with time in each direction. Secondly, it establishes the optimization model which minimizes the maximum of total waiting passengers during the study period. The model takes the site capacity as constraints, and takes trains’ arrival time in each direction in transfer station as adjustment object. Finally, the model is validated by an example, and genetic algorithm is designed to search the optimal solutions. It also obtains some worse solutions for contrast. By contrast, the optimal solutions can effectively reduce the number of waiting passengers in transfer station. The study can provide a reference for network coordination.
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