首页> 外文期刊>Sensor Letters: A Journal Dedicated to all Aspects of Sensors in Science, Engineering, and Medicine >Bus-Priority Intersection Signal Control System Based on Wireless Sensor Network and Improved Particle Swarm Optimization Algorithm
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Bus-Priority Intersection Signal Control System Based on Wireless Sensor Network and Improved Particle Swarm Optimization Algorithm

机译:基于无线传感器网络和改进粒子群算法的公交优先路口信号控制系统

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In order to make buses have the priority to bus and ease the intersection congestion, this paper designs bus-priority intersection signal control system based on wireless sensor network and improved layered parallel particle swarm optimization (ILPPSO) algorithm. Dynamic network mode of wireless sensor network is used to collect the information of bus flow by adding nodes to it. The channelization method of intersections is improved by setting up bus lane. We build signal timing optimization model based on the traffic data collected by wireless sensor network and use improved particle swarm optimization algorithm to solve it. Finally, based on VISSIM soft, the signal control system is tested by programming. The results show that the signal control system can ease bus flow of intersections quickly and reduce vehicle's delay efficiently.
机译:为了使公交车具有公交优先权,缓解交叉路口拥堵,设计了基于无线传感器网络和改进的分层并行粒子群算法(ILPPSO)的公交优先路口信号控制系统。无线传感器网络的动态网络模式用于通过添加节点来收集总线流信息。通过设置公交专用道来改善交叉路口的信道化方法。我们基于无线传感器网络收集的交通数据建立信号时序优化模型,并使用改进的粒子群算法对其进行求解。最后,基于VISSIM软件,通过编程对信号控制系统进行了测试。结果表明,该信号控制系统可以快速缓解交叉路口的公交车流量,并有效减少车辆的延误。

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