Use of active learning method to develop an intelligent stop and go cruise control

Shahdi, S. A ; Sharif University of Technology | 2003

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  1. Type of Document: Article
  2. Publisher: 2003
  3. Abstract:
  4. This paper is concerned with the design and simulation of an intelligent stop and go cruise control system in an automated vehicle. In this paper Active learning method is used to extract driver's behavior and to derive control rules for cruise control system. First, there is a brief introduction to ALM (Active Learning Method) and its specifications. Then a one-line space for driving is assumed and its parameters are extracted. By using IDS, the processing engine of ALM, effective parameters in controller are derived. A simulation program is written to produce learning samples and also to evaluate controller's parameters. To apply controller's output, appropriate acceleration of the vehicle, by gas and brake pedals; motor and power transmission system model are introduced and their relations are calculated
  5. Keywords:
  6. Active learning method ; Cruise control ; Fuzzy controller ; Intelligent vehicles
  7. Source: Proceedings of the IASTED International Conference on Intelligent Systems and Control, Salzburg, 25 June 2003 through 27 June 2003 ; 2003 , Pages 87-90 ; 0889863555 (ISBN)
  8. URL: https://www.actapress.com/Abstract.aspx?paperId=13518