摘要
针对传统模糊控制跟驰模型较少考虑驾驶风格的差异,同时缺乏真实数据的有效验证,基于模糊控制理论,模拟驾驶人在跟驰过程中采取的动态驾驶决策过程,考虑不同驾驶风格,在分析自然驾驶数据的基础上,利用实测数据对不同驾驶风格进行分析,获得各驾驶风格的期望车头时距参数,在此基础上,利用前后车距离误差和速度差作为独立变量,并建立了模糊控制规则。数值分析结果表明,该模型与自然驾驶数据拟合较好。
In view of the traditional fuzzy control carfollowing model,the difference of driving style was less considered,and the effective verification of real data was lack. Based on the fuzzy control theory,the dynamic driving decision-making process adopted by the driver in the following process was simulated,and different driving styles were considered. Based on the analysis of the natural driving data,different driving styles were analyzed by use of the measured data, and the desired time headway parameters of each driving style were obtained.On this basis,the distance error and speed difference between the front and rear cars were used as independent variables,and the fuzzy control rules were established.The numerical analysis results show that the proposed model fits well with natural driving data.
作者
吴兵
罗雪
李林波
WU Bing;LUO Xue;LI Linbo(Key Laboratory of Road and Traffic Engineering of Ministry of Education,Tongji University,Shanghai 201084,China)
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2020年第5期694-701,共8页
Journal of Tongji University:Natural Science
基金
国家重点研发计划(2018YFE0102800)
上海市科学技术委员会科研计划项目(18DZ1200200)。
关键词
跟驰模型
驾驶人风格
模糊控制
期望车头时距
car-following model
driving style
fuzzy control
desired time headway
