The invention relates to the technical field of vehicle abnormity identification, and particularly discloses a driving abnormity identification method and system based on big data, and the method comprises the steps: obtaining a vehicle label and a vehicle position in real time, carrying out the statistics of the vehicle position according to the vehicle label, and calculating an external stable value of a vehicle according to the vehicle position; vehicle motion parameters are obtained in real time, and an internal stable value is calculated according to the motion parameters; counting vehicles of each sub-section in the closed road section at each moment and outer stable values and inner stable values of the vehicles, and constructing a vehicle distribution map; and determining the abnormal level of each sub-segment based on the vehicle distribution map. According to the method, the stability of the vehicle is judged from the outside through the sensor installed on the road section, the vehicle data are obtained through the vehicle authority, the stability of the vehicle is judged from the inside, the distribution characteristics are generated by combining the position and the two stability, the neural network model is trained, and in practical application, only the distribution characteristics need to be constructed. Therefore, whether the road section has the risk can be quickly judged, and the richness is extremely high.
本发明涉及车辆异常识别技术领域,具体公开了一种基于大数据的行车异常识别方法及系统,所述方法包括实时获取车辆标签和车辆位置,根据车辆标签统计车辆位置,根据车辆位置计算车辆的外稳定值;实时获取车辆运动参数,根据所述运动参数计算内稳定值;统计各个时刻封闭路段中各子段的车辆及其外稳定值和内稳定值,构建车辆分布图;基于所述车辆分布图判定各个子段的异常级别。本发明通过安装在路段上的传感器从外界判断车辆的稳定性,通过车机权限获取车机数据,进而从内部判断车辆的稳定性,结合位置和两个稳定性生成分布特征,训练神经网络模型,在实际应用中,只需要构建分布特征,即可快速地的判断出路段是否存在风险,丰富度极高。
Driving abnormity identification method and system based on big data
一种基于大数据的行车异常识别方法及系统
2024-02-23
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
Vehicle abnormity monitoring method based on driving data
European Patent Office | 2022
|European Patent Office | 2023
|Vehicle driving route abnormity identification method, storage medium and device
European Patent Office | 2023
|Motorcade cooperative driving abnormity monitoring method and system
European Patent Office | 2020
|