The invention discloses an urban road network traffic accident risk studying, judging and visualizing method. The method comprises the following steps: acquiring road network accident data, pedestrian data, vehicle data and environment data; the obtained data is preprocessed; acquiring an urban road network connection relation, establishing a road network adjacency matrix, and obtaining a spatial correlation relation of each accident; establishing a road network accident severity random parameter space joint prediction model considering road network space correlation and data heterogeneity; coefficients corresponding to the variables in the prediction model are analyzed, and risk factors influencing the severity of the accident are judged; calculating a relative risk value according to the spatial residual item of each road entity, and judging the relative risk of the road network major accident; and according to the relative risk value of each road entity, a road network risk map is drawn, and relative risk general situation visualization is realized. The traffic accident severity influence factors can be identified from the microscopic level, the potential relation between the risk factors and the accident severity is mined, and the accident black spots are discriminated.
本发明公开了一种城市路网交通事故风险研判及可视化方法,包括:获取路网事故数据、行人数据、车辆数据和环境数据;对获取的数据进行预处理;获取城市路网连接关系,建立路网邻接矩阵,得到每起事故的空间相关关系;建立考虑路网空间关联和数据异质性的路网事故严重程度随机参数空间联合预测模型;分析预测模型中各自变量对应的系数,判别影响事故严重程度的风险因素;根据各道路实体的空间残差项计算相对风险值,判别路网重特大事故的相对风险;根据各道路实体相对风险值,绘制路网风险地图,实现相对风险概况可视化。本发明可从微观层面识别交通事故严重程度影响因素,挖掘风险因素与事故严重程度间的潜在关系,判别事故黑点。
Urban road network traffic accident risk studying, judging and visualizing method
一种城市路网交通事故风险研判及可视化方法
2025-01-28
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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