基于客流时空不均衡的轨道交通列车开行方案研究

Research on Train Operation Plan of Rail Transit Based on Unbalanced Passenger Flow Time and Space

为解决城市轨道交通制定列车开行方案时缺乏考虑客流时间变化的问题,从客流空间分布和时间分布角度出发,以乘客拥挤度最佳、候车时间和企业运营成本最小为目标,将拥挤程度、候车时间和企业运输成本作为约束条件,构建基于时间变化的非线性多目标规划模型。最后将模型应用于实际案例,结果表明:客流空间分布不均衡是制定列车开行交路的基础,时间分布不均衡时交路优化的依据,优化后方案能够显著降低列车拥挤度和减少乘客候车时间,但列车运营公里数及运用列车数量会有所增加。

In order to solve the problem of the lack of consideration of passenger flow time changes in the development of urban rail transit plans,from the perspective of passenger flow spatial distribution and time distribution,the goal is to optimize passenger congestion,waiting time and minimize enterprise operating costs.Time and enterprise transportation costs are used as constraints to construct a non-linear multi-objective programming model based on time changes.Finally,the model is applied to actual cases,and the results show that the unbalanced spatial distribution of passenger flow is the basis for the development of train routes,and the fundamental basis for route optimization when the time distribution is unbalanced.The optimized scheme can significantly reduce train congestion and passenger waiting time.But the number of train operating kilometers and the number of trains in use will increase.