The invention provides a traffic network congestion deduction method, which comprises the following steps of: converting lanes, entrances and exits of expressways into a topological structure of a high-speed network through point-line mapping to obtain characteristic parameters of the topological structure of the high-speed network; acquiring traffic state data in real time; obtaining the importance degree of each node according to the characteristic parameters of the topological structure of the high-speed network and the real-time traffic state data, and obtaining the real-time congestion degree of each line segment according to the real-time traffic state data; inputting the characteristic parameters of the topological structure corresponding to the target line segment and the real-time traffic state data into a pre-trained prediction model to obtain a predicted congestion degree; and displaying the visualization condition of the congestion of the expressway through the color, the size and/or the direction. According to the method, the congestion condition and important nodes of the expressway are visualized, and the traffic congestion trend of the expressway is predicted and visualized.
本发明提供一种交通网络拥堵推演方法,包括:将各高速公路的车道、进出口通过点线映射转换为一个高速网络的拓扑结构,得到高速网络的拓扑结构的特征参数;实时获取交通状态数据;根据高速网络的拓扑结构的特征参数和实时的交通状态数据得到每个节点的重要程度,并根据实时的交通状态数据获取每个线段的实时的拥挤度;将目标线段对应的拓扑结构的特征参数和实时交通状态数据输入至预先训练的预测模型中,得到预测的拥挤度;通过颜色、尺寸和/或方向对高速公路拥堵的可视化情况进行展示。本发明的方法将高速公路的拥堵状况和重要节点进行可视化、并将高速公路交通拥堵趋势进行预测并可视化。
Traffic network congestion deduction method
一种交通网络拥堵推演方法
2024-07-26
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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