A Neural-Fuzzy controller for intelligent cruise control of vehicle in highways

Lin Cai, A. B. Rad, Wai Lok Chan, M. L. Ho

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

This paper presents a neuro-fuzzy controller for Intelligent cruise control (ICC) of vehicles. One of 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 on-line learning due to its fast training. Simulation results are included to show the validity of the algorithm.
Original languageEnglish
Title of host publicationProceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003
PublisherIEEE
Pages1389-1393
Number of pages5
Volume2
ISBN (Electronic)0780381254
DOIs
Publication statusPublished - 1 Jan 2003
Event2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003 - Shanghai Worldfield Convention Hotel, Shanghai, China
Duration: 12 Oct 200315 Oct 2003

Conference

Conference2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003
CountryChina
CityShanghai
Period12/10/0315/10/03

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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