The invention discloses a road network traffic flow parameter estimation method and equipment. The method comprises the following steps: acquiring basic data; wherein the basic data comprises boundaries of a plurality of road sections; determining a road network research range according to the boundaries of all the road sections, and obtaining a road network image in the road network research range; inputting the road network image into a preset convolutional neural network model to obtain a road network vehicle detection result output by the convolutional neural network model; and according to the road network vehicle detection result, calculating to obtain road network traffic flow parameters in the road network research range. According to the embodiment of the invention, the vehicle type and the position of the vehicle can be quickly identified, so that the road section average vehicle density, the road section interval speed and the road section average flow can be quickly calculated, and the acquisition of all-day time-sharing traffic operation parameters of a large-scale road network can be efficiently and flexibly realized with lower cost.
本发明公开了一种路网交通流参数估算方法及设备,所述方法包括:获取基础资料数据;其中,所述基础资料数据包括若干个路段的边界;根据所有路段的边界确定路网研究范围,并获取所述路网研究范围内的路网图像;将所述路网图像输入至预设的卷积神经网络模型,得到所述卷积神经网络模型输出的路网车辆检测结果;根据所述路网车辆检测结果,计算得到所述路网研究范围内的路网交通流参数。本发明实施例能够快速实现车辆的车型和位置的识别,从而快速计算得到路段平均车辆密度、路段区间速度和路段平均流量,能够以更低的成本高效、灵活地实现大规模路网全天分时交通运行参数的获取。
Road network traffic flow parameter estimation method and device
一种路网交通流参数估算方法及设备
2023-06-27
Patent
Elektronische Ressource
Chinesisch
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