The invention relates to the field of traffic management, in particular to an AI traffic signal optimization method based on a high-altitude panoramic video. According to the invention, a YOLOv8 video identification technology is combined with a panoramic video stream, traffic elements, such as the number of vehicles, the queuing length and the driving speed, in all directions of an intersection are analyzed in real time, and a traffic signal controller is controlled in real time by using an artificial intelligence algorithm. Therefore, the problems of lack of real-time data support, relatively high deployment cost, lack of self-adaptability and the like in the prior art can be solved. By applying the YOLOv8 algorithm, the identification precision and the identification speed of the traffic participants are improved, so that the real-time traffic data can be obtained more accurately. And in combination with the panoramic video stream, the coverage range is wider, and the traffic condition can be known more comprehensively. And the application of the artificial intelligence algorithm realizes real-time optimization of signal timing, intelligently adjusts signal control according to actual traffic conditions, and improves the adaptability and response speed of the traffic system.
本发明涉及交通管理领域,具体涉及一种基于高空全景视频的AI交通信号优化方法。本发明通过采用YOLOv8视频识别技术结合全景视频流,实时分析路口各个方向的交通要素,如车辆数量、排队长度以及行驶速度等,并利用人工智能算法实时管控交通信号机。这样,本发明能够解决现有技术中缺乏实时数据支持、部署成本较高以及缺乏自适应性等问题。通过运用YOLOv8算法,本发明提高了交通参与者的识别精度和识别速度,以更准确地获取实时交通数据。结合全景视频流,覆盖范围更广,能够更全面地了解交通状况。而人工智能算法的应用,实现了实时优化信号配时,根据实际交通情况智能化地调整信号控制,提高交通系统的适应性和响应速度。
AI traffic signal optimization method based on high-altitude panoramic video
一种基于高空全景视频的AI交通信号优化方法
2023-12-01
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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