The invention discloses a road traffic accident analysis method based on fusion prediction of traffic risk variables, and the method comprises the steps: respectively collecting historical road traffic flow and population economic data in a research region to construct a traffic risk variable prediction model, and respectively obtaining traffic risk variables, i.e., motor vehicle traffic flow, in a certain time period of the future year; and then constructing a safety evaluation model based on the predicted traffic risk variable and the safety influence factors of the region, obtaining the influence factors influencing the safety of each traffic road in the region by applying the safety evaluation model, and carrying out safety evaluation on the region. The road safety evaluation method which is accurate, comprehensive and objective and reflects the authenticity of influence data is provided, the application range is wider, and particularly, a prediction model for traffic risk variables can better solve the limitation of related data missing.
本发明公开了一种融合预测交通风险变量的道路交通事故分析方法,分别采集研究区域内历史道路交通流量以及人口经济数据构建交通风险变量预测模型,分别获取未来年一定时间段内的交通风险变量即机动车交通流量;然后基于预测的交通风险变量以及区域的安全影响因素构建安全评价模型,应用安全评价模型,获得影响区域中各交通道路安全的影响因素,对区域进行安全评价,通过本发明的技术方案,提供了一种精确、全面、客观、反映影响数据具有真实性的道路安全评价方法,适用范围更广,特别是针对交通风险变量的预测模型能够更好的解决相关数据缺失的局限性。
Road traffic accident analysis method for fusing and predicting traffic risk variables
一种融合预测交通风险变量的道路交通事故分析方法
2023-04-28
Patent
Electronic Resource
Chinese
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