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A neural-fuzzy controller for intelligent cruise control of vehicle in highways

Lin Cai, / Rad, A.B. / Chan, W.L. / Ho, M.L.

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.

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A neural-fuzzy controller for intelligent cruise control of vehicle in highways

Lin Cai, / Rad, A.B. / Chan, W.L. / Ho, M.L.

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.

A neural-fuzzy controller for intelligent cruise control of vehicle in highways

Lin Cai, / Rad, A.B. / Chan, W.L. / Ho, M.L.

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.

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Title:

A neural-fuzzy controller for intelligent cruise control of vehicle in highways

Contributors:

Lin Cai, (author) / Rad, A.B. (author) / Chan, W.L. (author) / Ho, M.L. (author)

Published in:

Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems ; 2 ; 1389-1393 vol.2

Publication date:

2003-01-01

Size:

263190 byte

ISBN:

DOI:

https://doi.org/10.1109/ITSC.2003.1252712

Type of media:

Conference paper

Type of material:

Electronic Resource

Language:

English

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