Model Predictive Adaptive Cruise Control of Intelligent Electric Vehicles Based on Deep Reinforcement Learning Algorithm FWOR Driver Characteristics

• Published in: International journal of automotive technology Vol. 24; no. 4; pp. 1175 - 1187
• Main Authors: Guo, Jinghua, Li, WenChang, Luo, Yugong, Li, Keqiang
• Format: Journal Article
• Language: English
• Published: Seoul The Korean Society of Automotive Engineers 01.08.2023; Springer Nature B.V; 한국자동차공학회
• Subjects: Acceleration; Adaptive control; Algorithms; Automotive Engineering; Car following; Control systems design; Correlation coefficients; Cruise control; Deep learning; Driver behavior; Electric vehicles; Engineering; Headways; Machine learning; Optimization; Predictive control; 자동차공학; Deep reinforcement learning algorithm; Intelligent electric vehicles; Adaptive cruise control; Naturalistic driving data; Driver model

This paper presents a novel model predictive adaptive cruise control strategy of intelligent electric vehicles based on deep reinforcement learning algorithm for driver characteristics. Firstly, the influence mechanism of factors such as inter-vehicle distance, relative speed and time headway (THW)...