深度学习模型识别与预测换道行为：基于实测数据的研究

Given this, this article is based on actual test data and builds a deep learning architecture for identifying lane-changing decisions and predicting lane-changing trajectories, fully mining the potential features of the actual test data and solving the existing problems of low recognition accuracy and short prediction time in previous research, in order to more accurately describe actual lane-changing behavior. The specific research content is as follows: