The invention belongs to the field of electric vehicle charging, and relates to a roadside camera-based electric vehicle charging demand sensing method, which comprises the following steps of: calculating the traffic flow weight, the vehicle waiting time weight, the road width weight and the camera deployment cost of each intersection, and determining the intersection for deploying the camera in combination with a greedy algorithm and a genetic algorithm; according to the traffic flow weight, the vehicle waiting time weight and the road width weight, the definition and the number of the cameras at the intersection where the cameras are deployed are determined, the cameras are used for collecting video data, and the video data collected by the cameras are subjected to edge processing and then transmitted to the cloud; the cloud carries out comprehensive judgment and early warning according to the received data; the position of the road monitoring camera is determined according to the traffic flow weight, the vehicle waiting time weight, the road width weight and the camera deployment cost in combination with the improved greedy algorithm and the genetic algorithm, and the deployment cost is minimized while the camera meets the maximum road coverage rate.
本发明属于电动汽车充电领域,涉及一种基于路侧摄像头的电动汽车充电需求感知方法,包括:计算每个路口的车流量权重、车辆等待时间权重、道路宽度权重以及部署摄像头的成本,并结合贪心算法和遗传算法确定部署摄像头的路口;根据车流量权重、车辆等待时间权重以及道路宽度权重确定部署摄像头的路口处的摄像头的清晰度和数量利用摄像头采集视频数据,将摄像头采集到的视频数据进行边缘处理后传输到云端;云端根据接收到的数据进行综合判断和预警;本发明结合改进贪心算法和遗传算法根据车流量权重、车辆等待时间权重、道路宽度权重以及部署摄像头的成本确定道路监控摄像头的位置,使摄像头在满足最大化道路覆盖率的同时,最小化部署成本。
Electric vehicle charging demand sensing method based on roadside camera
一种基于路侧摄像头的电动汽车充电需求感知方法
25.04.2025
Patent
Elektronische Ressource
Chinesisch
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