城市轨道交通同步协调的优化模型

Synchronization and coordination optimization model of urban rail transit

为实现换乘客流的无缝衔接和列车到发的同步协调,以总换乘等车时间最少为目标,将列车行车间隔、客流划分结果和等车时间作为主要输入条件,构建了带有0-1决策变量的城市轨道交通同步协调优化模型.运用改进的遗传算法与计算机模拟相结合的方法有效解决了模型的求解问题.最后,以北京市城市轨道交通为例进行仿真,输出整点发车和非整点发车条件下的2种优化方案.结果表明,整点发车方案和非整点发车方案的总换乘等车时间较基础方案分别缩短2.26%和2.48%,单个车站的最大换乘等车时间分别节省了7.90%和12.87%.该优化模型能够有效缩短乘客的换乘等车时间,提高城市轨道交通的服务水平.

In order to achieve the seamless connections of passengers and the synchronization and coordination of arrival and departure of trains,a synchronization and coordination optimization model of urban rail transit（ URT） with 0-1 binary decision variables was proposed. The objective is the minimization of the total transfer waiting time and the inputs are the running interval,the results of passenger division and the waiting time. The model was solved by combining the improved genetic algorithm with computer simulation. Finally,Beijing URT was simulated for case study. Two optimization strategies,the minute-departure scheme and the second-departure scheme,were described. The results showthat compared with the traditional scheme,the total waiting time of the transfer passengers of the minute-departure scheme and the second-departure scheme is decreased by 2. 26% and 2. 48%. The maximum transfer waiting time at one station is reduced by 7. 90% and 12. 87%. The proposed model is effective to decrease the transfer waiting time and to improve the service level.