城市轨道交通开行方案鲁棒设计及优化

Robust Design and Optimization of Transit Operational Plan

文章综合考虑乘客的出行成本和城市轨道交通的运营成本,建立城市轨道交通列车开行方案费用模型,运用鲁棒思想对不同时段运营的成本进行分析,并运用遗传算法对该模型进行求解,确定合理的发车间隔、列车的开行频率以及所需要安排的列车数,从而为城市轨道交通运营制定合理的列车开行方案。

The paper makes a comprehensive consideration on the passenger travel cost and urban rail transit operating costs, having established a train operational plan cost model for urban rail transit, making an analysis by using the robust concept on the cost of operations in different time slots, and also using genetic algorithm to solve the model, determining the reasonable departure intervals, train running frequency and the need to arrange the number of trains, thus it provides reasonable train operational plans for urban rail transit.