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

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

doi:10.1109/ITSC.2003.1252712

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

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

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

4 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 language	English
Title of host publication	Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003
Publisher	IEEE
Pages	1389-1393
Number of pages	5
Volume	2
ISBN (Electronic)	0780381254
DOIs	https://doi.org/10.1109/ITSC.2003.1252712
Publication status	Published - 1 Jan 2003
Event	2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003 - Shanghai Worldfield Convention Hotel, Shanghai, China Duration: 12 Oct 2003 → 15 Oct 2003

Conference

Conference	2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003
Country/Territory	China
City	Shanghai
Period	12/10/03 → 15/10/03

ASJC Scopus subject areas

Automotive Engineering
Mechanical Engineering
Computer Science Applications

More information

10.1109/ITSC.2003.1252712

Cite this

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title = "A Neural-Fuzzy controller for intelligent cruise control of vehicle in highways",

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.",

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Cai, L, Rad, AB, Chan, WL & Ho, ML 2003, A Neural-Fuzzy controller for intelligent cruise control of vehicle in highways. in Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003. vol. 2, 1252712, IEEE, pp. 1389-1393, 2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003, Shanghai, China, 12/10/03. https://doi.org/10.1109/ITSC.2003.1252712

A Neural-Fuzzy controller for intelligent cruise control of vehicle in highways. / Cai, Lin; Rad, A. B.; Chan, Wai Lok et al.
Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003. Vol. 2 IEEE, 2003. p. 1389-1393 1252712.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - 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.

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

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