The invention relates to traffic signal optimization, in particular to a holographic intersection signal real-time optimization method and device based on edge computing, and the method comprises the steps: obtaining video stream data and radar data of each intersection, and carrying out the data processing of the video stream data and the radar data; the edge base station of each intersection calculates the traffic flow of the corresponding intersection based on the corresponding video stream data and the radar data; the edge base station of each intersection performs dynamic learning adjustment according to the traffic flow of the intersection to obtain a first traffic signal lamp timing strategy and uploads the first traffic signal lamp timing strategy to the cloud server; the cloud server globally optimizes the first traffic signal lamp timing strategy uploaded by each edge base station according to the intersection traffic flow information of each intersection to obtain a second traffic signal lamp timing strategy; the cloud server sends the second traffic signal lamp timing strategy to a signal machine of each intersection, and each signal machine executes the second traffic signal lamp timing strategy; according to the technical scheme provided by the invention, the defect that the traffic signal lamp cannot be reasonably optimized in real time can be effectively overcome.
本发明涉及交通信号优化,具体涉及一种基于边缘计算的全息路口信号实时优化方法及装置,获取各路口的视频流数据和雷达数据,并对视频流数据和雷达数据进行数据处理;各路口的边缘基站基于对应的视频流数据和雷达数据计算相应的路口车流量;各路口的边缘基站根据路口车流量进行动态学习调整,获得第一交通信号灯配时策略,并上传至云服务器;云服务器根据各路口的路口车流量信息对各边缘基站上传的第一交通信号灯配时策略进行全局优化,得到第二交通信号灯配时策略;云服务器将第二交通信号灯配时策略发送至各路口的信号机,各信号机执行第二交通信号灯配时策略;本发明提供的技术方案能够有效克服不能对交通信号灯进行合理实时优化的缺陷。
Holographic intersection signal real-time optimization method and device based on edge calculation
一种基于边缘计算的全息路口信号实时优化方法及装置
2024-04-09
Patent
Electronic Resource
Chinese
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