交通运输工程与信息学报

自然灾害对高速列车运行产生很高的危害,对于受到灾害影响的车站或区段,可以通过改变列车运行径路,回避受灾区段等方法疏通客流以减少损失。首先从这一调度调整思路出发,以高速铁路网的通过能力作为约束,确定整个路网的合理径路集。在径路中选择受灾车站作为回避点约束,建立了以时间、距离和运营成本最小的高速列车运行调整的多目标规划模型。然后构造了遗传算法,对算例进行求解,最后验证了模型的有效性。

Natural disasters are harmful to high-speed train running.For some railway stations or sections affected by disasters, you can change trains running pathways to avoid the disaster zone to clear the traffic and reduce losses.First,this paper started from the idea of scheduling adjustment.Then, taking the high-speed railway network capacity as a constraint,determining the reasonable path set of the whole road network and considering the affected stations as the avoidance point constraint, a multi-objective programming model for the high-speed train reute, which has the minimum time, distance and operation cost, was established.After then, a genetic algorithm was used to solve the case.An example shows that the model and algorithm are effective.