基于遗传算法的公交智能排班方法的研究  

Research on Intelligent Schedule of Public Traffic Vehicles based on Genetic Algorithm

作　　者：陈远[1] 

机构地区：[1]苏州经贸职业技术学院机电系,江苏苏州215009

出　　处：《智能计算机与应用》2012年第5期75-77,共3页Intelligent Computer and Applications

基　　金：苏州经贸职业技术学院院级青年课题资助项目(JMQZ1102)

摘　　要：研究公交车智能排班问题,建立数学模型,兼顾乘客出行效率和公交企业运营效益,给出利用遗传算法解决此问题的方法。重点阐述了智能排班的目标函数、适应度函数和遗传算子的设计。编制程序进行仿真实验,结果证明利用遗传算法解决公交智能排班问题,可以优化车辆调度,能在交通高峰和平峰期不均匀排班,符合公众和企业的利益,并提高了交通运行效率。The paper studies bus intelligent scheduling problem, and builds mathematical model, at the same time taking into Consider the passengers travel efficiency and the bus company benefits, gives the genetic algorithm to solve this problem. In the method, the focuses are on the objective function of intelligent schedule problem, fitness function and genetic operators design. Through program for simulation experiment, the results show that using genetic algorithms to solve the intelligent scheduling problems can optimize the vehicle scheduling and arrange uneven schedule at the peak and low peak period, and conform to the public and bus company interests, therefore improve the efficiency of traffic operations.

关 键 词：智能排班 遗传算法 公共交通 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]