The invention discloses an urban intersection space accident severity relative risk discrimination and visualization method. The method comprises the steps of obtaining intersection accident data, intersection design data, meteorological data and traffic flow data; the obtained data is preprocessed; extracting urban road network topology, constructing an intersection adjacency matrix, and obtaining a spatial correlation of each accident; establishing a road intersection accident severity degree space prediction model considering intersection space association; extracting a spatial residual item of each intersection, and judging a relative risk of a major accident at the intersection; and according to the relative risk value of the intersection, drawing an accident severity degree space risk hotspot identification graph to realize risk general situation visualization. According to the method, whether a specific intersection in urban roads has a higher serious injury accident probability than an intersection with similar characteristics or not can be effectively judged, visualization is performed in a thermodynamic diagram form, and theoretical support is provided for accident black spot diagnosis.
本发明公开了一种城市交叉口空间事故严重程度相对风险判别及可视化方法,包括:获取交叉口事故数据、交叉口设计数据、气象数据、交通流量数据;对获取的数据进行预处理;提取城市路网拓扑,构建交叉口邻接矩阵,得到每起事故的空间相关关系;建立考虑交叉口空间关联的道路交叉口事故严重程度空间预测模型;提取各交叉口的空间残差项,判别交叉口重特大事故的相对风险;根据交叉口相对风险值,绘制事故严重程度空间风险热点识别图,实现风险概况可视化。本发明可有效判断城市道路中某一特定交叉口是否比与之相似特征的交叉口具有更高的重伤事故概率,并以热力图的形式进行可视化,为事故黑点诊断提供理论支撑。
Urban intersection space accident severity relative risk discrimination and visualization method
城市交叉口空间事故严重程度相对风险判别及可视化方法
2024-04-05
Patent
Electronic Resource
Chinese
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