城市轨道交通列车开行方案和客流控制协同优化研究  被引量:3

A Study of Collaborative Optimization of Urban Rail Transit Train Operation Schemes and Passenger Inflow Control

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作  者:吴开信 梁艳娟 王文宪 WU Kai-xin;LIANG Yan-juan;WANG Wen-xian(School of Rail Transportation,Wuyi University,Jiangmen 529020,China)

机构地区:[1]五邑大学轨道交通学院,广东江门529020

出  处:《五邑大学学报(自然科学版)》2020年第4期22-28,共7页Journal of Wuyi University(Natural Science Edition)

基  金:江门市基础与理论科学研究类科技计划项目(2019030101590008821,2020030100840005270);五邑大学大学生创新创业训练计划项目(201811349120)。

摘  要:针对城市轨道交通高峰期沿线部分车站的拥挤问题,提出列车开行方案和线路客流控制协同优化策略.以乘客总延误和站内控制节点控流强度最小化为目标,综合考虑行车条件、客流动态加载过程和设备设施安全约束等条件,构建了多目标规划模型.通过引入0-1变量对非凸约束条件处理以及利用评价函数对多目标函数处理,把模型转化为等价的单目标混合整数线性规划模型,利用通用代数建模系统编程调用求解器直接求解.算例结果表明,所建模型会有效降低站台乘客集聚程度、减少乘客总延误时间,从而保证运营安全的同时提高了系统效率.In order to relieve passenger congestion at crowded stations along the rail line during peak hours,this paper proposes a new collaborative optimization strategy for both train scheduling and passenge r inflow control.Considering all factors of traffic conditions,passenger dynamic loading processes,and equipment and facilities security constraints comprehensively,a multi-objective programming model was set up with the purpose of minimizing the total delay time of stranded passengers and the inflow con trol rate.By introducing 0-1 variables to deal with non-convex constraints and using evaluation functions to cope with multi-objective functions,the model is transformed into an equivalent single objective mixed integer linear programming model,whose solution can be provided directly by a solver called GUROBI.It was verified that the proposed optimization model could prevent passenger accumulation on platforms,decrease the total passenger delay time,leading to more efficient and safer operations of the systems.

关 键 词:轨道交通 高峰时段 客流协调控制 混合整数线性规划模型 通用代数建模系统 

分 类 号:U293.5[交通运输工程—交通运输规划与管理]

 

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