The invention provides an urban road traffic flow detection method and system, and the method comprises the steps: obtaining a pavement video stream, carrying out the clock synchronization and space grid alignment of the pavement video stream and geographic information data, and generating time-space synchronization data; based on the space-time synchronization data, space-time feature extraction is carried out on traffic elements in the road surface video stream through a deep learning model, traffic vector data are generated, and attributes of the traffic vector data comprise speed, direction and position; and carrying out dynamic semantic mapping processing on the traffic vector data to generate traffic state data, and associating the traffic state data with the layer attribute of the geographic information data. By adopting the method, the urban road traffic flow detection precision can be improved through real-time conversion from the unstructured video data to the dynamic space-time vector data, and a solid technical support is provided for optimization of the urban traffic flow.

    本申请提供了一种城市道路交通流量检测方法及系统,所述方法包括:获取路面视频流,对路面视频流与地理信息数据进行时钟同步与空间网格对齐处理,生成时空同步数据;基于时空同步数据,通过深度学习模型对路面视频流中的交通元素进行时空特征提取,生成交通矢量数据,交通矢量数据的属性包括速度、方向和位置;对交通矢量数据进行动态语义映射处理,生成交通状态数据,交通状态数据与地理信息数据的图层属性关联。采用本方法能够通过非结构化视频数据到动态时空矢量数据的实时转换,提高城市道路交通流量检测精度,为城市交通流的优化提供坚实技术支撑。


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    Title :

    Urban road traffic flow detection method and system


    Additional title:

    一种城市道路交通流量检测方法及系统


    Contributors:

    Publication date :

    2025-06-13


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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