城市轨道交通列车开行方案的优化理论及方法  

Optimization Theory and Method of Train Operation Scheme for Urban Rail Transit

作　　者：牛惠民[1] 陈明明[1] 张明辉[1] 

机构地区：[1]兰州交通大学交通运输学院,甘肃兰州730070

出　　处：《中国铁道科学》2011年第4期128-133,共6页China Railway Science

基　　金：国家自然科学基金资助项目(50968009);教育部高等学校博士点基金资助项目(20096204110003)

摘　　要：根据城市轨道交通的特点,分析客流需求的时变特征、乘客在车站的等待行为和列车与运行线的匹配关系。以轨道列车运行要求、动车组数量和运营企业利益为约束条件,以最小化乘客的等待时间为目标函数,构造拥挤环境下城市轨道交通列车开行方案的数学模型。采用遗传算法求解模型,设计基于二进制结构的特殊编码方法。以南京市地铁1号线为背景,应用本文的模型和算法进行了仿真测算。计算结果表明,利用本文模型得到的非均衡列车开行方案能够更好地满足城市轨道交通乘客和运营企业双方的利益。According to the characteristics of urban rail transit,the time-dependent characteristics of passenger flow demand,the behaviors of waiting passengers at the stations and the train-path matching relation were analyzed.With the train operation requirements,the number of electronic multiple units and the benefit of the operation enterprises as constrains,and with the minimum passenger waiting times as the objective function,a mathematical model of train operation scheme for urban rail transit under congested circumstance was formulated.The genetic algorithm was used to solve the developed model,and a special coding approach based on the binary structure was designed.Taking Line 1 of Nanjing Metro as the background,the proposed model and algorithm were adopted for simulation calculation.The results indicate that the disequilibrium train operation scheme obtained by the proposed model can better satisfy the benefits for both the passengers and the operation enterprise of urban rail transit.

关 键 词：城市轨道交通 列车开行方案 优化模型 遗传算法 

分 类 号：U292.4[交通运输工程—交通运输规划与管理]