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基于遗传算法的车道配置优化方法
The Optimization Method of Tollgates Deployment Based on Genetic Algorithms
【摘要】 对收费车道配置进行研究是收费系统规划建设中一项重要内容,研究的目的是使得收费资源合理利用。根据车辆到达流的随机特点,运用排队论方法建立起以收费系统费用损失最小为目标的优化模型,然后利用遗传算法求得在不同ETC技术使用率情况下的最佳车道配置。所得结果对实际操作有一定的指导意义。
【Abstract】 It is the important contents to research the tollgates deployment in the programming and building of toll system, the purpose of research is to make the toll system source used in reason Based on the characteristic of vehicles arrive flow, we apply the method of queue theory to develop the optimize model for the purpose of the lowest of charge losing of toll system Then we apply the genetic algorithms to explain the best tollgates deployment in the vary use rate of ETC technique The result has the instructional significance in the practice application
【关键词】 车道配置;
ETC;
遗传算法;
排队论;
优化;
【Key words】 Tollgate deployment; ETC; Queue theory; genetic algorithms; optimization;
【Key words】 Tollgate deployment; ETC; Queue theory; genetic algorithms; optimization;
- 【文献出处】 广西交通科技 ,Guangxi Communication Science and Technology , 编辑部邮箱 ,2003年05期
- 【分类号】U491
- 【被引频次】7
- 【下载频次】279