The invention relates to the technical field of intelligent traffic and traffic safety, in particular to a multi-source data fusion traffic hidden danger recognition method, which comprises the following steps: S100, acquiring a traffic influence factor in a first specified time period corresponding to any traffic unit in an urban traffic network; wherein the traffic unit is a road intersection in an urban traffic network; s200, according to the traffic influence factors in the first specified time period corresponding to the traffic unit, obtaining a hidden danger score of the first specified time period corresponding to the traffic unit; s300, comparing the hidden danger score of the first specified time period corresponding to the traffic unit with a plurality of hidden danger score intervals obtained in advance, and determining a hidden danger score interval to which the hidden danger score of the first specified time period corresponding to the traffic unit belongs; and S400, determining a preset traffic processing plan corresponding to the traffic unit based on the hidden danger score interval to which the hidden danger score of the first specified time period corresponding to the traffic unit belongs.
本发明涉及智能交通和交通安全技术领域,尤其涉及一种多源数据融合的交通隐患识别方法,包括:S100、获取城市交通网络中任一交通单元对应的第一指定时间段内的交通影响因素;其中,所述交通单元为城市交通网络中的道路十字交叉路口;S200、根据交通单元对应的第一指定时间段内的交通影响因素,获取该交通单元对应的第一指定时间段的隐患评分;S300、将该交通单元对应的第一指定时间段的隐患评分与预先获取的多个隐患评分区间进行对比,并确定出该交通单元对应的第一指定时间段的隐患评分所属的隐患评分区间;S400、基于该交通单元对应的第一指定时间段的隐患评分所属的隐患评分区间,确定该交通单元对应的预设的交通处理预案。
Multi-source data fusion traffic hidden danger identification method and system
一种多源数据融合的交通隐患识别方法及系统
2025-04-18
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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