The invention discloses a vehicle driving track prediction method and system based on checkpoint snapshot data and equipment. The method comprises the steps: acquiring historical track data of a vehicle; aggregating the historical track data of the vehicle to obtain track data of each vehicle; aggregating the historical vehicle track data to obtain a vehicle track data set of each time interval;constructing a Markov state transition matrix of road network vehicles based on the vehicle track data set of each time interval; constructing a Markov state transition matrix of the individual vehicle based on the track data of each vehicle; and predicting the probability of passing through each check point according to the Markov state transition matrix of the individual vehicle and the Markov state transition matrix of the road network vehicle. According to the invention, the defect that the current vehicle trajectory prediction method cannot perform personalized prediction can be well overcome.
本发明公开了一种基于卡口抓拍数据的车辆行驶轨迹预测方法、系统及设备,该方法包括:获取车辆历史轨迹数据;对所述车辆历史轨迹数据进行聚合,得到每辆车的轨迹数据;对所述车辆历史轨迹数据进行聚合,得到每个时间区间的车辆轨迹数据集合;基于所述每个时间区间的车辆轨迹数据集合构建路网车辆的马尔科夫状态转移矩阵;基于所述每辆车轨迹数据构建个体车辆的马尔科夫状态转移矩阵;根据所述个体车辆的马尔科夫状态转移矩阵以及路网车辆的马尔科夫状态转移矩阵预测经过各个卡口的概率。本发明能很好的弥补了目前车辆轨迹预测方法不能进行个性化预测的缺陷。
Vehicle driving track prediction method and system based on checkpoint snapshot data and equipment
基于卡口抓拍数据的车辆行驶轨迹预测方法、系统及设备
2020-04-14
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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