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本文介绍了一种基于大数据分析平台的交通信号动态控制方法,包括以下步骤:数据采集;历史信息;分析;预测、预警、决策;动态反馈控制;通过实时采集区域内人流、车流、排队和拥堵情况以及道路、环境的实际情况,根据最大交通流量需要以及道路网络交叉口的信号灯状态,动态调整多个道路交叉口信号灯的配时时间,达到最优控制效果,在大数据分析平台的支持下,可以实现多个交叉口信号灯的协同联动控制,解决目前高密度交通状态下多交叉口的联动控制,以达到区域交通优化控制的目的。
This paper introduces a dynamic control method of traffic signal based on big data analysis platform, which includes the following steps: data collection, historical information, analysis, prediction, early warning, decision making and dynamic feedback control; Congestion conditions and the actual situation of the road and the environment, according to the maximum traffic flow needs and traffic lights at the intersection of the road network, dynamically adjust the timing of multiple traffic lights at the road junction to achieve the optimal control effect in the big data analysis platform support , It is possible to realize synergetic linkage control of multiple traffic lights at intersections to solve the linkage control of multiple intersections under current high-density traffic conditions so as to achieve the purpose of regional traffic optimization control.