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基于随机模拟的遗传算法在OD反推中的应用研究
Application of a Genetic Algorithm Based on Stochastic Simulation for Estimating Origin-Destination Matrices
【摘要】 由路段交通量反推 OD一般要求调查的路段数大于或等于 OD变量数 ,这对大型复杂路网是难以做到的 ,即使能够做到 ,由于对 OD约束过小以致搜索空间过大 ,也难以在短时间内得到满意解。通过界定 OD的可能区间 ,提出一种基于随机模拟遗传算法的 OD反推方法 ,并用一个简单的路网进行仿真试验。结果表明 ,该方法是有效的
【Abstract】 It’s usually unlikely to survey adequate links which number are not less than the variable numbers of O D matrices estimated through traffic counts as far as a complicated network is concerned. Even one can do it, it’s difficult to obtain a satisfied solution in short times because the O D pairs are less constrained. This paper presents a gentic algorithm method based on stochastic simulation by defining possible intervals of O D pairs in advance. Through a simulation test on a simple road network,the method is proved to be reasonable and effective.
【Key words】 Stochastic Simulation; Genetic Algorithm; Estimating O-D Matrices;
- 【文献出处】 系统工程 ,Systems Engineering , 编辑部邮箱 ,2003年05期
- 【分类号】U491
- 【被引频次】41
- 【下载频次】513