The invention provides a traffic dynamic adjustment method, system and device based on big data, and a medium, and relates to the technical field of big data traffic. Comprising the steps that road information is collected in real time through a monitoring camera; performing data acquisition on the road state in different time periods when no vehicle exists in the monitoring area, and taking the data as a comparison template; performing feature extraction by using a convolutional neural network; when the monitoring camera recognizes that the number of the automobiles is larger than the preset number; if the number of the automobiles in the preset area exceeds a preset number, the images are overlapped and compared; road picture collection is carried out outside the preset area; comparing the picture of the road outside the preset area with the comparison template, and calculating the distance between the monitoring camera and the automobile by using a trigonometric function; the current road is released, and the other roads are forbidden to pass; and uploading the congestion data to a background terminal, and performing time adjustment on traffic lights. Data support can be provided for overall traffic route planning; and the convenience is improved.
本发明提出了一种基于大数据交通动态调节方法、系统、设备及介质,涉及大数据交通的技术领域。包括通过监控摄像头对道路信息进行实时采集;对监控区域内无车时道路状态进行不同时段的数据采集,作为对照模板;利用卷积神经网络进行特征提取;当监控摄像头识别出汽车的数量大于预设数量时;对图片重叠对比,若在预设区域内汽车数量超过预设数量;对预设区域外进行道路图片采集;将预设区域外道路图片与对照模板进行对比,利用三角函数计算监控摄像头与汽车距离;对当前道路进行放行,其余道路进行禁止通行;将拥堵数据上传至后台终端,并对红绿灯进行时间调节。其能够为整体交通线路规划作数据支撑;提高了便捷性。
Traffic dynamic adjustment method, system and device based on big data and medium
一种基于大数据交通动态调节方法、系统、设备及介质
2022-04-15
Patent
Elektronische Ressource
Chinesisch
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