Lane-changes prediction based on adaptive fuzzy neural network

作者：

Highlights：

• An Adaptive Fuzzy Neural Network is proposed to predict steering angles.

• Takagi–Sugeno fuzzy inference is applied in prediction model.

• An improved Least Squares Estimator is adopt to optimize parameters in model.

• An adaptive learning method is used to update membership functions and rule base.

• Prediction results show the model can accurately follow steering angle patterns.

摘要

•An Adaptive Fuzzy Neural Network is proposed to predict steering angles.•Takagi–Sugeno fuzzy inference is applied in prediction model.•An improved Least Squares Estimator is adopt to optimize parameters in model.•An adaptive learning method is used to update membership functions and rule base.•Prediction results show the model can accurately follow steering angle patterns.

论文关键词：Lane changes,Fuzzy neural network,Steering prediction,Driving simulation,Adaptive learning algorithm

论文评审过程：Received 16 February 2017, Revised 30 May 2017, Accepted 9 September 2017, Available online 12 September 2017, Version of Record 19 September 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.09.025