摘要
在轨道交通网络化运营条件下,考虑不同线路间乘客的脉冲性到达特征和拥挤度对乘客出行行为选择的影响,对轨道交通网络列车开行方案进行协调优化。以轨道交通运营企业成本和广义乘客出行费用之和最小为目标,构建列车开行方案优化模型,对路网中各条线路的列车发车间隔和各线路间的发车时刻相位差进行优化,并结合客流的离散性特征和模型结构,提出了一种基于仿真的遗传算法对该模型进行求解。给定某轨道交通网络,实例验证了所提出模型和算法的有效性。计算结果表明,相较于现有优化方法,本文所提出的优化模型能够有效降低网络化运营条件下的系统总成本,在提高轨道交通运营企业效益的同时降低了乘客的广义出行费用。
To optimize the operation plan of rail transit networks,in this study,we consider the impulsive behavior of passengers on different lines,and the influence of the degree of congestion on their choice of travel.By considering the minimization of the sum of the operating cost of rail transit enterprises and the generalized travel cost of passengers as objective function,an optimization model for a train operation plan is developed.The objective is to optimize the departure interval of each line and the phase difference of the departure time between the lines.This model is combined with the discrete characteristics of passenger flow and model structure.In addition,a genetic algorithm(GA)based on simulations is utilized to solve the model.A case study of a rail transit network is considered to verify the effectiveness of the model and algorithm.The results reveal that compared with existing optimization methods,the proposed model can reduce the total cost of the system under network-operation conditions,improve the efficiency of rail transit operation enterprises,and reduce the generalized travel cost of passengers.
作者
孙梦霞
倪少权
吕红霞
SUN Meng-xia;NI Shao-quan;LV Hong-xia(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 611756,China;National Railway Train Diagram Research and Training Center,Southwest Jiaotong University,Chengdu 611756,China;National United Engineering Laboratory of Integrated and Intelligent Transportation,Chengdu 611756,China)
出处
《交通运输工程与信息学报》
2020年第1期26-33,60,共9页
Journal of Transportation Engineering and Information
基金
国家重点研发计划资助项目（2017YFB1200702）
国家自然基金项目（61703351）
中国铁路总公司科技研究计划项目（P2018T001,K2018X012）
四川省科技计划项目（2018RZ0078,2019JDR0211,2018123）
成都市软科学研究项目（2017-RK00-00369-ZF）
中央高校基本科研业务费专项资金资助项目（2682017CX022,2682017CX018）
关键词
城市轨道交通
列车开行方案
遗传算法
发车间隔
网络化运营
urban rail transit
train operation plan
genetic algorithm
departure interval
network operation
