Driving intention identification and maneuvering behavior prediction of drivers on cornering

Abstract

An integrated model, which combines Artificial Neural Network (ANN) and Hidden Markov chain Model (HMM), is proposed to identify the driving intention and predict the maneuvering behavior of the driver, which accordingly realizes intelligent driving assistance and improves active safety of the vehicle. Driving simulator tests on straight line and double-lane change are employed to validate the availability of this model. The test results indicate that this model serves accurate identification on driving intention as well as precise prediction on maneuvering behavior of the driver at certain vehicle speed.