Implementing Adaptive Driving Systems for Intelligent Vehicles by Using Neuro-Fuzzy Networks

You are here: Homepage > Search

Implementing Adaptive Driving Systems for Intelligent Vehicles by Using Neuro-Fuzzy Networks

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

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.

Access

Download

Check availability in my library

Order at Subito €

Export, share and cite

Document information

Title :

Implementing Adaptive Driving Systems for Intelligent Vehicles by Using Neuro-Fuzzy Networks

Additional title:

Transportation Research Record

Contributors:

Lin, Y. T. (author) / Wang, F.-Y. (author) / Mirchandani, P. B. (author) / Wu, Long (author) / Wang, Z. X. (author) / Yeo, Chris (author) / Do, Michael (author)

Published in:

Transportation Research Record: Journal of the Transportation Research Board ; 1774 , 1 ; 98-105

Publication date :

2001-01-01

ISSN :

2169-4052 , 0361-1981

DOI :

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

Type of media :

Article (Journal)

Type of material :

Electronic Resource