期刊文献+

基于遗传算法的动态交通分配研究 被引量:1

Study on Dynamic Traffic Distribution Based on Genetic Algorithm
下载PDF
导出
摘要 主要研究动态系统最优(DSO)模型。以总的花费时间最小为目标函数,对模型的节点集、路段集分别进行研究。通过模拟路段的流入量、流出量和路段上的交通量来建模。用传统的迭代算法解决动态交通分配问题非常复杂,而对传统迭代算法进行改进或用遗传算法等新的智能算法求解则会很简洁和方便。 This paper mainly studies the dynamic system optimum (DSO) model. Specifically the node set and section set of the model are studied respectively based on the minimum of total spent time as the objective function. The model is built via the simulation of inflow and outflow of the section and traffic on the section. Solving the dynamic traffic distribution problem by means of conventional iterative algorithm is very complicated, on the other hand, it is simple and convenient to settle such problems by improving the conventional iterative algorithm or via new intelligent algorithms such as the genetic algorithm, etc.
出处 《公路交通技术》 2009年第3期141-144,共4页 Technology of Highway and Transport
关键词 动态交通分配 动态系统最优 遗传算法 dynamic traffic distribution DSO genetic algorithm
  • 相关文献

参考文献4

二级参考文献21

共引文献40

同被引文献10

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部