00822763

Component

https://doi.org/10.3141/1774-12

http://scholar.google.com....+Do&publication_year=2001

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 rules 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.

This paper appears in Transportation Research Record No. 1774, Artificial Intelligence and Intelligent Transportation Systems.

English

p. 98-105

2001

Transportation Research Record

0309072352

Figures (9) ; Photos (2) ; References (25) ; Tables (1)

Adaptive control; Automated vehicle control for ground vehicles; Behavior; Driving; Fuzzy controllers; Human beings; Intelligent vehicles; Personality

Adaptive driving systems; Neuro-fuzzy networks

Highways; Planning and Forecasting; Safety and Human Factors; Vehicles and Equipment; I72: Traffic and Transport Planning; I90: Vehicles

TRIS, TRB, ATRI

Jan 30 2002 12:00AM

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