高速铁路列车运行图鲁棒性协同优化模型研究

为提升高速铁路列车运行图的鲁棒性提出协同优化模型. 基于多线路协同优化和多目标协同优化的思想，研究多条线路列车运行图的协同优化，并将列车运行图的鲁棒性分为晚点传播鲁棒性与换乘接续鲁棒性，对两种鲁棒性进行多目标协同优化建模. 在建模过程中，将经济学中的边际效用递减规律引入对列车间缓冲时间的研究，提出并定义缓冲时间鲁棒性效用. 结合我国具体国情、路情建立高速铁路列车运行图鲁棒性协同优化模型并进行案例分析，结果表明，该模型可有效提升高速铁路列车运行图的鲁棒性.

Robustness Collaborative Optimization Model for High-speed Railway Train Timetable

In order to enhance the robustness of high- speed railway train timetable, in this paper a robustness collaborative optimization model is proposed. Based on multi- line cooperative optimization ideology and multitarget cooperative optimization ideology, collaborative optimization for multi-line timetables is studied. We divide train timetable robustness into delay propagation robustness and connection robustness, and build multi-objective cooperative optimization model for these two kinds of robustness. In the process of modeling, the law of diminishing marginal utility in economics is introduced into the study of buffer time between trains. Furthermore, we propose the definition of robust utility of buffer time. Combining with the concrete situation of China railway, a robustness collaborative optimization model for high- speed train timetable is established. Experimental results show that the model proposed in this paper can effectively improve the robustness of high- speed railway train timetable.