基于遗传算法的多服务模式公交优化设计  

Optimization Design of Multiple Services for Urban Bus Corridor With Genetic Algorithm

作　　者：杨熙宇[1] 暨育雄[1] 王同根[1] 

机构地区：[1]同济大学道路与交通工程教育部重点实验室,上海201804

出　　处：《同济大学学报（自然科学版）》2016年第7期1052-1057,共6页Journal of Tongji University:Natural Science

基　　金：国家自然科学基金(51308410);上海市科委项目(15DZ1204402)

摘　　要：基于独立公交走廊需求特征,利用公交客流起点到终点(OD)数据,建立了以发车频率和公交车型为主要输出参数的多服务模式公交优化设计模型.针对模型求解的复杂性,应用遗传算法进行求解.最后,结合上海公交737路公交客流走廊数据给出了优化算例.结果表明,模型具有较强的实用性,能快速有效地求解出多服务模式的公交优化组合.Based on the urban transportation demand of bus corridor, this paper studies the optimization design of multiple services with urban transit. For the operation characteristics of bus lines, the optimization model of minimum costs in terms of waiting time, in-vehicle travel time and operator cost is developed with genetic algorithm （GA）. An application of the model to the case of No. 737 bus line in Shanghai shows that the optimization model is practical and effective for satisfying the demand of passengers and improving the operating efficiency of bus transit system.

关 键 词：交通规划 多服务模式公交 公交走廊 遗传算法 

分 类 号：U491[交通运输工程—交通运输规划与管理]