ALGORITHM OF OPTIMAL TRAFFIC SIGNAL CYCLE USING NEURAL NETWORK AND FUZZY RULES

In this paper, the authors propose a new concept for an optimal traffic signal cycle method that reduces the average vehicle waiting time and improves average vehicle speed. An optimal traffic cycle with fuzzy rules and a neural network to prevent overvlow and reduce waiting time is proposed. This method is capable of considering vehicle length for passing vehicles.

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

  Sangji University. Dept. of Computer Science

  ,    
• Authors:
  • Hong, Yuan
  • Park, C S
• Publication Date: 1997

Language

• Korean

Media Info

• Pagination: p. 88-101
• Serial:
  • Journal of the Korea Institute of Telematics and Electronics. C. Vol. 34-C, no. 8
  • Publisher: Sangji University. Dept. of Computer Science

Subject/Index Terms

• TRT Terms: Computer algorithms; Fuzzy logic; Fuzzy systems; Neural networks; Simulation; Traffic control; Traffic signals
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00775905
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM