Title :
A neural-fuzzy controller for intelligent cruise control of vehicle in highways
Author :
Cai, Lin ; Rad, A.B. ; Chan, W.L. ; Ho, M.L.
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Kowloon, China
Abstract :
This paper presents a neuro-fuzzy controller for intelligent cruise control (ICC) of vehicles. One of the objectives of ICC is to achieve automatic vehicle following in a safe, reliable and smooth way. This paper focuses on the longitudinal control by following the speed of the leading vehicle and keeping constant time headway safety distance at the same time. A fuzzy membership function based neural networks is used to combine the advantage of fuzzy logics and neural network. This network is similar to radial basis function network (RBFN) and can be used for online learning due to its fast training. Simulation results are included to show the validity of the algorithm.
Keywords :
fuzzy control; fuzzy neural nets; intelligent control; neurocontrollers; radial basis function networks; road vehicles; traffic control; unsupervised learning; velocity control; fuzzy logics; fuzzy membership function; highway vehicles; intelligent cruise control; neural network; neural networks; neuro-fuzzy controller; online learning; radial basis function network; Automated highways; Automatic control; Fuzzy logic; Fuzzy neural networks; Intelligent control; Intelligent vehicles; Neural networks; Road transportation; Road vehicles; Vehicle safety;
Conference_Titel :
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN :
0-7803-8125-4
DOI :
10.1109/ITSC.2003.1252712
