江苏大学学报（自然科学版）2025，Vol.46Issue(4)：382-387,6.DOI:10.3969/j.issn.1671-7775.2025.04.002
考虑驾驶风格的多模式自适应巡航控制
Multi-mode adaptive cruise control considering driving style
摘要
Abstract
To solve the adaptability problem of adaptive cruise control system for different styles of drivers,the personalized multi-mode adaptive cruise control algorithm was proposed.Based on the next generation simulation(NGSIM)data set,the car-following data were clustered and analyzed by K-means algorithm.The driver driving style was divided into radical,general and conservative types,and the corresponding car-following distance model was constructed.The gradient algorithm based on the deep deterministic policy was designed to modularize the basic performance of adaptive cruise,and the personalized car-following distance model was integrated into the basic performance of each mode.Based on the maximum entropy inverse reinforcement learning,the weights of personalization before the reward function were designed.To verify the multi-mode adaptive cruise control,the system was run in Simulink/Carsim joint simulation environment,and the results were compared with real vehicle samples of three driving styles.The results show that the tracking performance is good,and the inter distance and speed are close to those of the real samples of three types of drivers,which conforms to the driving habits of drivers and meets the personalized driving needs.关键词
自适应巡航控制/驾驶风格/强化学习/多模式/K-means算法Key words
adaptive cruise control/driving style/reinforcement learning/multi-mode/K-means algorithm分类
交通工程引用本文复制引用
姜顺明,吴朋朋..考虑驾驶风格的多模式自适应巡航控制[J].江苏大学学报（自然科学版）,2025,46(4):382-387,6.基金项目
国家自然科学基金资助项目(51575239) （51575239）
