城市轨道交通快速发展,人均乘行距离不断增长,使得研究城市轨道交通合理的列车停车方案成为必要,以满足越来越多乘客出行的需要。介绍轨道交通列车不同的停车模式,分析轨道交通跨站停车模式下影响乘客出行时间的相关因素。建立基于乘客总体出行时间节省最多的轨道交通列车跨站停车0-1整数规划模型,利用禁忌搜索算法进行模型求解。通过算例验证了该模型的可行性和禁忌搜索算法用于该问题求解的优越性,得出最优轨道交通列车跨站停车方案。对与目标函数值相关的列车发车间隔、停站时间和最高运行速度等参数进行灵敏度分析,结果表明:调节跨站运营条件下的发车间隔和停站时间可使目标函数,即乘客总体出行时间发生显著变化。
Along with the rapid development of urban rail transit, the travel distance per capita rises continuously. Therefore, it becomes necessary to study the appropriate stop strategy for the urban rail trains so as to satisfy increasing passenger travel demands. In this paper, the mathematical model of the skip-stop strategy for urban rail transit trains is introduced, factors correlated with the passenger travel time are analyzed. Then, the 0-1 integer programming model based on the maximum save of the total passenger travel time is built and it is solved with the Tabu Search algorithm. The feasibility of this model and the superiority of the Tabu Search al- gorithm are verified by a numerical example, and the optimal skip-stop strategy for rail transit trains is ob- tained. Sensitivity analysis of the objective-function related factors such as the headway, dwell time and maxi- mum speed of trains are made. The results show that the objective function, namely the total passenger travel time, can be significantly changed by adjusting the headway and dwell time in skip-stop operation.