SIMULATION STUDY OF MULTIPLE INTELLIGENT VEHICLE CONTROL USING STOCHASTIC LEARNING AUTOMATA

This paper presents an intelligent controller for an automated vehicle planning its trajectory based on sensor and communication data received. The controller is designed using a stochastic learning automaton. Using the data received from on-board sensors, two automata are capable of learning the best possible actions to avoid collisions. Simulations for simultaneous lateral and longitudinal control of a vehicle using this method are encouraging.

• Supplemental Notes:
  • Publication Date: December 1997
• Corporate Authors:

  Hangkong University. Dept. of Computer Engineering

  ,    
• Authors:
  • Unsal, C
  • Kachroo, Pushkin
  • Bay, J S
• Publication Date: 1997

Language

• English

Media Info

• Pagination: p. 193-210
• Serial:
  • Transactions of the Society for Computer Simulation International. Vol. 14, no. 4
  • Publisher: Hangkong University. Dept. of Computer Engineering

Subject/Index Terms

• TRT Terms: Advanced vehicle control systems; Artificial intelligence; Simulation
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00776218
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM