Implementing adaptive driving systems for intelligent vehicles by using neuro-fuzzy networks

Y. T. Lin; F. Y. Wang; P. B. Mirchandani; Long Wu; Z. X. Wang; Chris Yeo; Michael Do

doi:10.3141/1774-12

Implementing adaptive driving systems for intelligent vehicles by using neuro-fuzzy networks

Y. T. Lin, F. Y. Wang, P. B. Mirchandani, Long Wu, Z. X. Wang, Chris Yeo, Michael Do

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

The application of supervised learning to train an intelligent vehicle with a neuro-fuzzy controller to mimic the driving behavior of a human driver is discussed. An initial fuzzy control system for vehicle driving was set up on the basis of general human driving experiences, and its control roles were modified to fit the driving behavior of an individual driver. This provides an effective mechanism to construct driving control systems with personality for automated intelligent vehicles.

Original language	English (US)
Pages (from-to)	98-105
Number of pages	8
Journal	Transportation Research Record
Issue number	1774
DOIs	https://doi.org/10.3141/1774-12
State	Published - 2001
Externally published	Yes

ASJC Scopus subject areas

Civil and Structural Engineering
Mechanical Engineering

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10.3141/1774-12

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title = "Implementing adaptive driving systems for intelligent vehicles by using neuro-fuzzy networks",

abstract = "The application of supervised learning to train an intelligent vehicle with a neuro-fuzzy controller to mimic the driving behavior of a human driver is discussed. An initial fuzzy control system for vehicle driving was set up on the basis of general human driving experiences, and its control roles were modified to fit the driving behavior of an individual driver. This provides an effective mechanism to construct driving control systems with personality for automated intelligent vehicles.",

author = "Lin, {Y. T.} and Wang, {F. Y.} and Mirchandani, {P. B.} and Long Wu and Wang, {Z. X.} and Chris Yeo and Michael Do",

year = "2001",

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AU - Wang, Z. X.

AU - Yeo, Chris

AU - Do, Michael

PY - 2001

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AB - The application of supervised learning to train an intelligent vehicle with a neuro-fuzzy controller to mimic the driving behavior of a human driver is discussed. An initial fuzzy control system for vehicle driving was set up on the basis of general human driving experiences, and its control roles were modified to fit the driving behavior of an individual driver. This provides an effective mechanism to construct driving control systems with personality for automated intelligent vehicles.

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Implementing adaptive driving systems for intelligent vehicles by using neuro-fuzzy networks

Abstract

ASJC Scopus subject areas

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