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高铁列车运行图车站与区间冗余时间同步优化模型
引用本文:牛宏侠,宁正,张肇鑫.高铁列车运行图车站与区间冗余时间同步优化模型[J].交通运输系统工程与信息,2019,19(3):96-102.
作者姓名:牛宏侠  宁正  张肇鑫
作者单位:兰州交通大学自动控制研究所,兰州730070;兰州交通大学甘肃省高原交通信息工程及控制重点实验室,兰州730070;兰州交通大学自动控制研究所,兰州730070;兰州交通大学甘肃省高原交通信息工程及控制重点实验室,兰州730070;兰州交通大学自动控制研究所,兰州730070;兰州交通大学甘肃省高原交通信息工程及控制重点实验室,兰州730070
基金项目:国家自然科学基金/ National Natural Science Foundation of China(61863024);甘肃省基础研究创新群体计划/ Gansu Province Innovation Group Plan of Basic Research(1606RJIA327);甘肃省高等学校科研项目/ Scientific Research Project of Gansu Province University(2017A-026).
摘    要:为提高列车运行图抗干扰能力,编制运行图时通过设置区间冗余时间和车站冗余时间吸收运行过程中产生的初始延误.针对既有模型未深入研究多种冗余时间之间相互制约关系对延误吸收影响的问题,本文基于生灭过程描述了冗余时间作用机理,提出了一种同时优化车站冗余时间与区间冗余时间的同步优化模型,该模型平衡了引起延误吸收效果不理想的冗余时间不足和双重冗余之间的关系.最后通过加载随机干扰,并利用接力进化遗传算法求解.结果表明,与现阶段常采用的冗余时间分配方案相比,同步优化模型能根据随机干扰均值求得区间冗余时间并解得相应车站冗余时间,在考虑行程时间的同时,更加有效吸收了累积延误,提高了冗余时间利用率.

关 键 词:铁路运输  同步优化  生灭过程  冗余时间  遗传算法
收稿时间:2018-11-27

Synchronous Optimization Model of Station Redundant Time and Interval Redundant Time in High-speed Railway Train Working Diagram
NIU Hong-xia,NING Zheng,ZHANG Zhao-xin.Synchronous Optimization Model of Station Redundant Time and Interval Redundant Time in High-speed Railway Train Working Diagram[J].Transportation Systems Engineering and Information,2019,19(3):96-102.
Authors:NIU Hong-xia  NING Zheng  ZHANG Zhao-xin
Institution:a. Automatic Control Institute; b. Gansu Provincial Key Laboratory of Traffic Information Engineering and Control, Lanzhou Jiaotong University, Lanzhou 730070, China
Abstract:In order to improve the anti-interference ability of train working diagram, the initial delay in operation process is absorbed by setting the interval redundancy time and station redundancy time. In view of the problem that the existing research does not deeply study the mutual constraint relationship between multiple redundancy time, and delay time absorption ability. This paper describes the process of redundant time absorbs delay based on the birth and death process. A synchronous optimization model for optimizing station redundancy time and interval redundancy time is proposed. This model balances the relationship between causing double redundancy and setting too little redundancy time to absorb the delay. Finally, the random disturbance is loaded and the model is solved by genetic algorithm. The results show that compared with the allocation schemes often adopted at the present stage, the synchronous optimization model obtains the interval redundancy time according to the random interference mean and solves the corresponding station redundancy time. On the basis of considering the travel time, the model of this paper absorbs the cumulative delay time more effectively and effectively improves the anti- interference ability of operation diagram.
Keywords:railway transportation  simultaneous optimization  birth and death process  redundant time  genetic algorithm  
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