The invention discloses a signal lamp control method based on artificial intelligence, and relates to the technical field of traffic control. Comprising the following steps: acquiring data, acquiring real-time traffic data including the number of vehicles, the vehicle speed, the road condition and the like by using a traffic monitoring camera, processing the data, analyzing and processing the data, obtaining the current traffic condition, making a decision, making an intelligent signal lamp control strategy according to the current traffic condition, and controlling execution. The formulated signal lamp control strategy is applied to a signal lamp system, the switching time of the signal lamp is automatically controlled, and data is collected. According to the method, the vehicle density is calculated by acquiring the vehicle image, extracting the vehicle unit features and extracting the ground guide line, and the green light duration of the traffic lights is controlled through the same or repellent vehicle actions, so that the vehicle guidance is realized, and the vehicle congestion condition can be relieved.
本发明公开了一种基于人工智能的信号灯控制方法,涉及交通控制技术领域;包括如下步骤:数据采集,使用交通监控摄像头获取实时的交通数据,包括车辆数量、车速、道路状况等,数据处理,对数据进行分析和处理,得出当前的交通情况,决策制定,根据当前的交通情况,制定智能的信号灯控制策略,控制执行,将制定的信号灯控制策略实施到信号灯系统中,自动控制信号灯的开关时间,数据采集后。本发明通过对车辆图像获取,然后进行车辆单元特征提取、地面引导线提取,以此来计算车辆密度,再通过相同或者相斥的车辆动作实现对交通信号灯的绿灯持续时间控制,从而实现车辆引导,可缓解车辆拥堵情况。
Signal lamp control method based on artificial intelligence
一种基于人工智能的信号灯控制方法
2023-10-10
Patent
Electronic Resource
Chinese
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