The invention provides a traffic operation state recognition method, device and equipment and a medium, abnormal data are complemented and restored in a mean statistics and map matching mixed restoration mode, and vehicle positioning matching data are extracted to form a road speed environment. The vehicle positioning matching data set and the road speed are segmented according to the sliding time window and the equal-speed interval, the maximum value of the similarity distance quadratic sum is obtained through the road speed probability distribution, and the corresponding sliding time window is recognized as an unimpeded interval; and then calculating a Pearson correlation coefficient between the probability distribution of the road speed in the sliding time window and the probability distribution of the speed in the road unimpeded interval in real time, establishing a traffic operation state classification and identification criterion based on probability distribution correlation, and adaptively identifying the traffic operation state. And a standard mapping relation between the correlation coefficient and different congestion indexes is further constructed, so that the purpose of adaptive identification of the traffic operation state in generalization application is achieved.
本发明提供了一种交通运行状态识别方法、装置、设备及介质,通过均值统计和地图匹配混合修复的方式补全修复异常数据,并提取车辆定位匹配数据构成道路速度环境。分别以滑动时间窗口和等速度间距对车辆定位匹配数据集和道路速度进行分段,并且通过道路速度概率分布获取相似性距离平方和的最大值,所对应的滑动时间窗口识别为畅行区间,然后实时计算滑动时间窗口中道路速度的概率分布与道路畅行区间速度的概率分布之间的皮尔森相关系数,并建立基于概率分布相关性的交通运行状态分类与识别的准则,自适应识别交通运行状态,进一步构建相关性系数与不同拥堵指数标准映射关系,达到可泛化应用的交通运行状态自适应识别的目的。
Traffic operation state identification method, device, equipment and medium
一种交通运行状态识别方法、装置、设备及介质
2024-02-09
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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