The invention relates to the technical field of intelligent traffic application, and particularly discloses a typical scene road section traffic accident risk early warning method based on multiple detection sources, and the method comprises the steps: analyzing various risk feature quantized values of historical traffic accidents of each typical scene road section according to a constructed typical scene road section traffic accident database; screening out high-risk road sections from all typical scene road sections according to various risk feature quantized values, and setting a risk level change threshold value for each high-risk road section; calculating the obtained real-time gate flow data, real-time meteorological data and real-time environmental data of each high-risk road section to obtain a real-time traffic accident risk level of each high-risk road section; and when the traffic accident risk grade change degree of the high-risk road section is higher than a risk grade change threshold value, the traffic accident early warning information of the high-risk road section is pushed to a system background. According to the invention, traffic accidents and other concurrent accidents can be reduced, and traffic safety is ensured.
本发明涉及智能交通应用技术领域,具体公开了一种基于多检测源的典型场景路段交通事故风险预警方法,包括:根据构建的典型场景路段交通事故数据库,分析出每个典型场景路段历史交通事故的各类风险特征量化值;根据各类风险特征量化值,从所有典型场景路段中筛选出高风险路段,并对每个高风险路段设置风险等级变化阈值;对获取到的每个高风险路段的实时卡口流量数据、实时气象数据和实时环境数据进行计算,以得到每个高风险路段的实时交通事故风险等级;当高风险路段的交通事故风险等级变化程度高于风险等级变化阈值时,将该高风险路段的交通事故预警信息推送给系统后台。本发明能够减少交通事故和其他并发事故,保证交通安全。
Typical scene road section traffic accident risk early warning method based on multiple detection sources
一种基于多检测源的典型场景路段交通事故风险预警方法
2024-07-09
Patent
Electronic Resource
Chinese
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