面向弹性提升的动车组运用计划优化OA
Resilience-Oriented Optimization of Electric Multiple Unit Operation Planning
为解决高速铁路在受外部扰动情形下,动车组运用计划弹性不足、易引发大范围延误传播的问题,提出一种面向弹性提升的动车组运用优化方法.从优化动车组接续结构角度出发,分析接续冗余时间在晚点吸收过程中的作用机理,提出基于接续冗余时间与后序列车缓冲时间的接续对弹性函数.以动车组接续网络为基础,将动车组担当列车任务过程转化为带资源约束的车辆路径问题,综合考虑动车组路径唯一性、列车被担当需求、动车段所日计划末库存需求及车站到发线容量等约束条件,构建以交路段弹性值最大化为目标的优化模型.针对模型变量规模庞大的特征,设计列生成算法进行分解求解.主问题采用线性松弛模型生成对偶信息并传递给子问题,子问题通过带资源约束的最短路径模型生成可行路径列反馈回主问题,循环迭代直至收敛.以京沪高速铁路为算例进行验证,选取某日227列列车为研究对象.结果表明,优化后的动车组运用计划在不增加动车组运用数量的前提下,交路段平均弹性值由0.851提升至0.974,增幅达14%;弹性值大于0.99的强弹性交路段比例提升至77%,低于0.5的弱弹性交路段被完全消除.进一步的灵敏度分析显示,适度增加动车组运用数量可显著改善最弱弹性交路段的运行稳定性,当额外增加2组动车组后,所有交路段的弹性值均超过0.9,但整体弹性提升的边际效益逐渐减弱,不建议在计划阶段增加运用动车组.通过适度约束最大接续时间,可以在尽可能维持交路弹性的同时,显著提高动车组周转效率.研究成果可为铁路运输部门开展动车组运用计划编制与弹性优化提供方法参考与决策支持.
To address the problems of insufficient resilience of electric multiple unit operation planning and easy induction of large-scale delay propagation in high speed railway under external disturbances,an optimization method of electric multiple unit operation planning for resilience enhancement was proposed.From the perspective of optimizing the connection structure of electric multiple units,the action mechanism of connection buffer time in the delay absorption process was analyzed,and a resilience function of connection pair based on connection buffer time and subsequent train buffer time was proposed.Based on the electric multiple unit connection network,the process of electric multiple units serving train tasks was transformed into a vehicle routing problem with resource constraints.By comprehensively considering constraints such as uniqueness of multiple unit paths,requirements for trains to be served,inventory requirements at the end of the daily plan in multiple unit depots,and arrival and departure track capacity at stations,an optimization model aiming at maximizing the resilience value of routing sections was constructed.In view of the characteristic of massive variable scale of the model,a column generation algorithm was designed for decomposition and solution.The master problem adopted a linear relaxation model to generate dual information and transmitted it to the sub-problem,and the sub-problem generated feasible path columns through a shortest path model with resource constraints and fed them back to the master problem,iterating in loops until convergence.The Beijing-Shanghai High Speed Railway was taken as a calculation example for verification,and 227 trains on a certain day were selected as the research object.The results show that,on the premise of not increasing the application number of electric multiple units,the average resilience value of routing sections in the optimized electric multiple unit operation planning increases from 0.851 to 0.974,with an increase of 14%;the proportion of strong-resilience routing sections with a resilience value greater than 0.99 increases to 77%,and weak-resilience routing sections with a resilience value lower than 0.5 are completely eliminated.Further sensitivity analysis shows that moderately increasing the application number of electric multiple units significantly improves the operation stability of the weakest-resilience routing sections;after adding two extra sets of electric multiple units,the resilience values of all routing sections exceed 0.9,but the marginal benefit of overall resilience enhancement gradually weakens,and it is not recommended to increase the applied electric multiple units in the planning stage.By moderately constraining the maximum connection time,the EMU turnover efficiency is significantly improved while maintaining the routing resilience as much as possible.The research results provide methodological reference and decision support for railway transportation departments to carry out the compilation and resilience optimization of electric multiple unit operation planning.
张城;苗建瑞;孟令云;栾晓洁;廖正文
北京交通大学 交通运输学院,北京 100044北京交通大学 交通运输学院,北京 100044北京交通大学 交通运输学院,北京 100044北京交通大学 交通运输学院,北京 100044北京交通大学 交通运输学院,北京 100044
交通工程
高速铁路运营动车组运用计划弹性提升列生成算法接续冗余时间
High Speed Railway OperationElectric Multiple Unit Operation PlanningResilience EnhancementColumn Generation AlgorithmConnection Buffer Time
《铁道运输与经济》 2026 (5)
107-118,12
甘肃省科技计划资助-联合科研基金重大项目(24JRRA865)国家自然科学基金项目(U2368211)国家自然科学基金铁路基础研究联合基金项目(U2268207)
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