The invention discloses a Transform-based driving
habit prediction method and device, and belongs to the technical field of automatic driving and intelligent driving assistance, and the method comprises the steps: obtaining and preprocessing the historical
vehicle driving data of a driver, and obtaining a
vehicle driving data sequence in which the dimensional difference between different parameters is eliminated; a sliding window is adopted to slide on the
vehicle driving data sequence, and a data sample containing a corresponding data
label is extracted; training a Transform-based driving
habit prediction model by using a data sample containing a corresponding data
label, and in the training process, performing back propagation and parameter optimization by using a
mean square error
loss function to obtain a trained driving
habit prediction model; and inputting real-time vehicle driving data into the trained driving habit prediction model to carry out real-time prediction on the vehicle driving data to obtain a driving habit prediction result. The auxiliary driving information can be obtained according to different persons, and the driving experience of a driver is improved.