The invention relates to the field of traffic signals, in particular to a traffic signal lamp control method suitable for real-time traffic conditions, which comprises the following steps: modeling through historical traffic data of a target intersection and a BP neural network algorithm, so that different historical traffic data correspond to various traffic events; and real-time parameters of the traffic signal controller are adjusted according to the real-time traffic data of the target intersection, and traffic signal lamps are controlled, so that the situation that the traffic signal control scheme of the target intersection is not matched with the actual situation, consequently, the vehicle bearing capacity of the road adjacent to the target intersection is overloaded, and the congestion degree of the road and the intersection is aggravated is avoided. And the overall traffic efficiency of a traffic road is reduced.
本发明涉及交通信号领域,具体涉及一种适用于实时交通状况的交通信号灯控制方法,通过目标路口的历史交通数据以及BP神经网络算法建模,使不同的历史交通数据与各类交通事件对应,并根据目标路口的实时交通数据调整交通信号控制机的实时参数,对交通信号灯进行控制,以避免目标路口的交通信号控制方案与实际情况不匹配,导致目标路口相邻道路的车辆承载量超负荷,加重道路和路口的拥堵程度,降低交通道路的整体通行效率。
Traffic signal lamp control method suitable for real-time traffic condition
适用于实时交通状况的交通信号灯控制方法
2024-03-22
Patent
Elektronische Ressource
Chinesisch
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