Fuzzy Control Car-Following Model with the Consideration of Driving Style

被引:0
|
作者
Wu B. [1 ]
Luo X. [1 ]
Li L. [1 ]
机构
[1] Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai
来源
关键词
Car-following model; Desired time headway; Driving style; Fuzzy control;
D O I
10.11908/j.issn.0253-374x.19319
中图分类号
学科分类号
摘要
In view of the traditional fuzzy control car-following 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. © 2020, Editorial Department of Journal of Tongji University. All right reserved.
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页码:694 / 701
页数:7
相关论文
共 25 条
  • [1] ZHAO Shuzhi, ZHANG Xiaoxiong, JIA Hongfei, Et al., A car-following model developed on five-wheel system experiment, Journal of Highway and Transportation Research and Development, 20, 1, (2003)
  • [2] CHAKROBORTY P, KIKUCHI S., Evaluation of the general motors based car-following models and a proposed fuzzy inference model, Transportation Research Part C (Emerging Technologies), 7, 4, (1999)
  • [3] KHODAYARI A, KAZEMI R, GHAFFARI A, Et al., Design of an improved fuzzy logic based model for prediction of car following behavior, Mechatronics (ICM), 2011 IEEE International Conference, pp. 200-205, (2011)
  • [4] MAR J, LIN F J., An ANFIS controller for the car-following collision prevention system, IEEE Transactions on Vehicular Technology, 50, 4, (2001)
  • [5] MAR J, LIN F J, LIN H T, Et al., The car following collision prevention controller based on the fuzzy basis function network, Fuzzy Sets and Systems, 139, 1, (2003)
  • [6] MAR J, LIN H T., The car-following and lane-changing collision prevention system based on the cascaded fuzzy inference system, IEEE Transactions on Vehicular Technology, 54, 3, (2005)
  • [7] XIONG Q P., Development of membership degree functions of the car-following models based on fuzzy logic, International Conference on Intelligent Computation Technology & Automation, pp. 697-699, (2009)
  • [8] WANG Wenqing, WANG Wuhong, ZHONG Yonggang, Et al., Car-following safe distance control algorithm and implementation based on fuzzy inference, Journal of Traffic and Transportation Engineering, 3, 1, (2003)
  • [9] QIU Xiaoping, SUN Ruoxiao, YU Dan, An improved method to analyze car-following behavior based on fuzzy inference system, Journal of South China University of Technology (Natural Science Edition), 43, 8, (2015)
  • [10] TANG T Q, LI C Y, HUANG H J., A new car-following model with the consideration of the driver's forecast effect, Physics Letters A, 374, 38, (2010)