摘要
结合具体的实例城市给出了基于蚁群算法的公交出行量预测的过程,在交通小区的划分基础上,分析了公交出行的特征,提出了基于交通出行总量估计公交出行量的预测思路,介绍了出行生成量预测方法的过程,总结了该方法的优点,并通过实例应用与增长率预测方法进行了比较。
With example the forcasting procedure for public trip based on ant eolony algorithm was put out.Under traffic zone division,it analysed character of public trip,putting forward idea which public trip evaluation was relied on whole trip vol-ume.Through in jinzhou application,reflects it s advantage and is compared with groths method.
出处
《长春理工大学学报（自然科学版）》
2009年第4期683-685,共3页
Journal of Changchun University of Science and Technology(Natural Science Edition)
基金
辽宁省教育厅资助项目(20060407)
关键词
公交出行
蚁群算法
预测方法
Public trip
ant eolony algorithm
forecast method
