Method and system for identifying lane changing intention of manually driven vehicle

Abstract

A method and system for identifying a lane changing intention of a manually driven vehicle are disclosed. The method includes: preprocessing a preset vehicle trajectory data set; extracting vehicle traveling features and driving behavior features of a target vehicle; constructing a vehicle following and lane changing decision prediction model based on machine learning, and inputting the preprocessed vehicle trajectory data set into the prediction model for training; obtaining a speed, an acceleration and a vehicle head distance of the target vehicle according to the vehicle traveling features of the target vehicle, and obtaining a large vehicle feature value and a clustering feature value according to the driving behavior features of the target vehicle; and inputting the speed, the acceleration, the vehicle head distance, the large vehicle feature value and the clustering feature value into the trained prediction model to obtain a lane changing intention identification result of the target vehicle.