首页> 外文会议>Artificial neural nets and genetic algorithms >Multiple Traffic Signal Control Using A Genetic Algorithm
【24h】

Multiple Traffic Signal Control Using A Genetic Algorithm

机译:基于遗传算法的多路交通信号控制

获取原文
获取原文并翻译 | 示例

摘要

Optimising traffic signal timings for a multiple-junction road network is a difficult but important problem. The essential difficulty of this probelm is that the traffic signals need to coordinate their behaviours to achieve the common goal of optimising overall network delay. This paper discusses a novel approach towards the generation of optimal signalling strategies, based on the use of a genetic algorithm (GA). This GA optimises the set of signal timings for all junctions in network. The different efficient red and green times for all the signals are determined by genetic algorithm as well as the offset time for each junction. Previous attempts to do this rely on a fixed cycle time, whereas the algorithm described here attempts to optimise cycle time for each junction as well as proportion of green times. The fitness function is a measure of the overall delay of the network. The resulting optimised signalling strategies were compared against a well-known civil engineering technique, and conclusions drawn.
机译:优化多路口道路网络的交通信号定时是一个困难但重要的问题。该探针的基本困难在于,交通信号需要协调其行为,以实现优化整体网络延迟的共同目标。本文讨论了一种基于遗传算法(GA)的最佳信号生成策略。该GA优化了网络中所有结点的信号时序集。通过遗传算法确定每个信号的不同有效红色和绿色时间,以及每个路口的偏移时间。以前尝试执行此操作依赖于固定的循环时间,而此处描述的算法尝试优化每个路口的循环时间以及绿灯时间的比例。适应度函数是网络总体延迟的度量。将产生的优化信号策略与著名的土木工程技术进行比较,并得出结论。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号