摘要
通过对南京市江宁区21路公交线调查,运用Fisher聚类法对全天运营的时间段进行合理的聚类分析,建立兼顾公交公司与乘客利益的多目标数学模型,并应用粒子群算法求解该模型,得到较优公交调度时刻表。
Fisher＇s clustering method is used to analyze the bus schedule of Route No.21 in Jiangning District,Nanjing City.A multi-objective mathematical model for bus dispatching is developed,which considers the tradeoff between operation cost and passenger＇s waiting time.The particle swarm algorithm is used to solve the proposed model and an improved bus dispatching timetable is obtained.
出处
《交通信息与安全》
2009年第6期34-37,共4页
Journal of Transport Information and Safety
关键词
公交车调度
数学模型
粒子群算法
bus dispatching
mathematical model
particle swarm algorithm
