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以乘客费用最小为优化目标,以各种客运方式(地铁、轻轨和常规公交)的发车间隔为决策变量,以各方式的车辆配置及各方式间的运能匹配为约束条件,建立了综合客运枢纽内各方式协调的调度模型,利用Matlab遗传算法工具箱对模型进行求解,并以北京市西直门综合客运枢纽为例对模型进行验证.结果表明,实施协调调度后乘客费用显著减少,所建立的模型能够较好地解决枢纽内各方式间的协调调度问题.
Taking the minimum passenger cost as the optimization objective, taking the departure intervals of various passenger modes (subway, light rail and conventional bus) as decision variables, the vehicle configuration of each mode and the matching of transport capacity between modes, the comprehensive passenger transport This paper uses the Matlab Genetic Algorithm Toolbox to solve the model and takes the Xizhimen Integrated Passenger Terminal in Beijing as an example to validate the model.The results show that the passenger cost is significantly reduced after the coordinated scheduling is implemented, The model can well solve the problem of coordination and scheduling among all modes in the hub.