The invention discloses an intelligent traffic control method and system based on a street lamp pole. An artificial intelligence monitoring technology based on deep learning is adopted to extract hidden feature distribution information about road information in a monitoring image of each road, and spatial communication topological features between the roads are utilized to enhance expression of image features of the roads. Therefore, the road congestion degree is identified and judged. Through the mode, the traffic environment information can be accurately, comprehensively and intelligently detected and judged, so that smart city construction is realized, the resource application efficiency is improved, and city management and service are optimized.
本申请公开了一种基于路灯杆的智慧交通控制方法及系统。其采用基于深度学习的人工智能监控技术,以提取出各个道路的监控图像中关于道路信息的隐含特征分布信息,并利用所述各个道路之间的空间连通拓扑特征来加强所述各个道路的图像特征的表达,以此来进行道路拥挤程度的识别判断。通过这样的方式,可以精准地对于交通环境信息进行全面且智能地检测判断,以实现智慧城市建设,进而提升资源运用的效率,优化城市管理和服务。
Intelligent traffic control method and system based on street lamp pole
基于路灯杆的智慧交通控制方法及系统
2023-07-04
Patent
Electronic Resource
Chinese
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