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Multi-objective optimization for real time traffic light control and navigation systems for urban saturated networks

机译:城市饱和网络实时交通信号灯控制和导航系统的多目标优化

摘要

A multiobjective management system for saturated traffic road networks comprising: green wave coordination of locally adaptive traffic control units, traffic movement optimization and live traffic route guidance. Current traffic congestion measurements on intersections are generated from local traffic cameras and remote air-borne conventional cameras and thermal sensing imaging cameras or satellite radar such as SAR/ISAR using optical image brightness analysis. At the first stage of traffic optimization, individual local intersection green times are computed based on current traffic congestion level. At the second stage optimization, the central traffic server uses a multiobjective approach to coordinate the current locally-optimized green times of the first stage and create input constraints for green-way coordination of plurality of traffic lights. The server updates dynamically current cycle start and green times on all network-connected traffic light controllers and also broadcasts recommended travel times, green times and green waves to all on-line client vehicle navigation units. Traffic server and individual client guidance units utilize novel time-dependent modifications of an A*-type algorithm to update current travel and recommended travel times and to execute fastest route searches.
机译:一种用于饱和交通路网的多目标管理系统,包括:局部自适应交通控制单元的绿波协调,交通运动优化和实时交通路线引导。当前交叉路口的交通拥堵测量值是使用光学图像亮度分析从本地交通摄像头和远程空中常规摄像头以及热敏成像摄像头或诸如SAR / ISAR的卫星雷达生成的。在交通优化的第一阶段,根据当前交通拥堵程度计算各个本地路口的绿灯时间。在第二阶段优化中,中央交通服务器使用多目标方法来协调第一阶段当前的本地优化绿灯时间,并为多个交通灯的绿灯道路协调创建输入约束。服务器在所有网络连接的交通信号灯控制器上动态更新当前周期的开始时间和绿色时间,并向所有在线客户端车辆导航单元广播建议的行驶时间,绿色时间和绿色波浪。流量服务器和各个客户导航单元利用A *型算法的新颖时变方法来更新当前行程和建议的行程时间,并执行最快的路线搜索。

著录项

  • 公开/公告号US2008094250A1

    专利类型

  • 公开/公告日2008-04-24

    原文格式PDF

  • 申请/专利权人 DAVID MYR;

    申请/专利号US20060583333

  • 发明设计人 DAVID MYR;

    申请日2006-10-19

  • 分类号G08G1/08;

  • 国家 US

  • 入库时间 2022-08-21 20:14:58

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