The invention discloses a road traffic abnormal state monitoring analysis method and system, a terminal and a medium, and relates to the technical field of intelligent traffic, and the technical scheme is characterized in that road images of the same road area at different collection moments are continuously collected; extracting vehicle density characteristics of each lane from the road image; arranging and combining the density feature groups at different acquisition moments to construct a density feature matrix; analyzing density change features of each lane according to the density feature matrix to obtain a density change feature set of the road region; matching an abnormal state type of the road area from a database according to the density characteristic matrix and the density change characteristic set; and outputting a corresponding warning signal according to the abnormal state type so as to realize road traffic abnormal state warning. According to the method, one image monitoring point can cover comprehensive monitoring of the abnormal state in a long road, the problem of frame interval time between continuous frames of images does not need to be considered, and the method can better adapt to infrastructures of existing roads.
本发明公开了一种道路交通异常状态监测分析方法、系统、终端及介质,涉及智能交通技术领域,其技术方案要点是:连续采集同一道路区域在不同采集时刻的道路图像;从道路图像中提取各个车道的车辆密度特征;将不同采集时刻的密度特征组排列组合,构建得到密度特征矩阵;根据密度特征矩阵分析各个车道的密度变化特征,得到道路区域的密度变化特征集;依据密度特征矩阵和密度变化特征集从数据库中匹配道路区域的异常状态类型;根据异常状态类型输出对应的警示信号,以实现道路交通异常状态警示;本发明以一个图像监测点即可覆盖对较长道路中异常状态的全面监测,且无需考虑连续帧图像之间的帧间隔时间长短问题,可以更好的适应现有道路的基础设施。
Road traffic abnormal state monitoring analysis method and system, terminal and medium
一种道路交通异常状态监测分析方法、系统、终端及介质
2025-02-18
Patent
Electronic Resource
Chinese
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