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各方式协调调度模型, 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了验证. 结果表明实施协调调度后乘客费用显著减少, 已建模型能够较好地解决枢纽内各方式间的协调调度问题.

Proposed in this paper is a coordinated scheduling model of different traffic modes in a comprehensive passenger transport hub, with the minimum passenger cost as the optimization objective, the departure intervals of different modes （subway, light rail and bus） as the decision variables and with the vehicle configuration and trans- portation capacity matching as the constraint conditions. Then, by using the genetic algorithm toolbox in Matlab, the model is solved and is finally verified with the survey data in Xizhimen transportation hub in Beijing. The re- suits indicate that, after the coordinated scheduling, the passenger cost greatly reduces, and that the proposed model effectively solves the scheduling problem of comprehensive passenger transport hub.