The invention discloses a traffic flow short-time prediction method, and relates to the technical field of intelligent traffic. The method comprises the following steps: acquiring a target area map and traffic related data in a set time period; selecting a predicted intersection in the target area map, and inputting the traffic related data into a traffic flow short-time prediction model to obtain a current jam risk assessment result; the traffic flow short-term prediction model is constructed according to a long and short-term memory network and a classifier; the jam risk assessment result comprises smoothness, congestion and jam; displaying the current jam risk assessment result on the target area map in a set color; the set colors comprise green, yellow and red. According to the invention, the current traffic road condition can be predicted in time, and the traffic jam probability is reduced.
本发明公开一种交通流短时预测方法,涉及智能交通技术领域。所述方法包括:获取目标区域地图及设定时间段内的交通相关数据;在所述目标区域地图中选定预测路口,将所述交通相关数据输入交通流短时预测模型,得到当前的堵塞风险评估结果;所述交通流短时预测模型是根据长短时记忆网络和分类器构建的;所述堵塞风险评估结果包括顺畅、拥挤和堵塞;将当前的所述堵塞风险评估结果以设定颜色在所述目标区域地图上进行显示;所述设定颜色包括绿色、黄色和红色。本发明能够及时对当前的交通路况进行预测,降低交通堵塞概率。
Traffic flow short-term prediction method
一种交通流短时预测方法
2024-09-06
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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