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Apr 26, 2012
Dynamic Neuro-Fuzzy Control Design for Adaptive Cruise Controller in Intelligent Transportation System
Authors: Kaijun Xu [email protected] and Yang XuAuthor Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
This paper presents the dynamic neuro-fuzzy control system for controlling the intelligent transportation system. The controller proposed in this paper is comprised two dynamic neural networks and a system identifier. The system identifier is used to identify the output of the adaptive cruise control system, and one of the dynamic neural networks is employed to learn the weighting factor of the fuzzy logic neural network, the other is control the vehicle system. When the control strategy is not suit for vehicle, identifier will select the best model to be the controller.
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Published In
International Conference on Transportation Engineering 2009
Pages: 3219 - 3224
Copyright
© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Adaptive systems
- Artificial intelligence and machine learning
- Computer programming
- Computing in civil engineering
- Control systems
- Engineering fundamentals
- Fuzzy logic
- Highway transportation
- Infrastructure
- Intelligent transportation systems
- Neural networks
- Systems engineering
- Systems management
- Transportation engineering
- Transportation management
- Vehicles
Authors
Affiliations
Intelligent Control and Development Center, Southwest Jiaotong University, Chengdu, 610031, P. R. China;. E-mail: [email protected]
Yang Xu
Intelligent Control and Development Center, Southwest Jiaotong University, Chengdu, 610031, P. R. China
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