基于粒子群算法的城市轨道交通接运公交规划  

Planning of Feeder Bus to the Urban Rail Transit Based on Particle Swarm Optimization

作　　者：李诗灵[1] 陈宁[2] 赵学彧[2] 

机构地区：[1]武汉理工大学管理学院,武汉430070 [2]武汉理工大学交通学院,武汉430063

出　　处：《武汉理工大学学报（交通科学与工程版）》2010年第4期780-783,共4页Journal of Wuhan University of Technology（Transportation Science & Engineering）

基　　金：国家自然科学基金项目资助(批准号:50778141)

摘　　要：根据"逐条布设,优化成网"的优化思想,采用将线路规划区域离散化处理的方法,以接运效率最大为接运公交路线优化目标函数,建立模型,并给出算例.结果表明,接运公交线路能较好地实现接运效率最大化问题,从而使社会和乘客效益最大.According to the optimization idea of one by one-by-point routing,optimization into network ＇,with the methods of discretization for the routing design area,the paper builds the model with the feeder bus optimization function aiming at the maximization of feeder efficiency.And the paper introduces the PSO algorithm and its calculation steps for the solution to the model,as well as the example of algorithm.The results show that the feeder bus routine designed based on this method can solve the problem of the maximum of feeder well,so as to make the benefits of social and passengers maximized.Therefore,this method is effective,and it can get the solution to the problem of the planning of feeder bus.

关 键 词：轨道交通 接运公交 粒子群算法 

分 类 号：U491.17[交通运输工程—交通运输规划与管理]