NEW ELECTROSENSITIVE TRAFFIC LIGHT USING FUZZY NEURAL NETWORK

This paper investigates the use of an electrosensitive traffic light using neural fuzzy logic. The light control changes signals based on the passing vehicle's weight, length, and passing area. This method is shown to be substantially more efficient than fixed time interval signal, having aimproved the average waiting time, average vehicle speed, and fuel consumption.

• Supplemental Notes:
  • Publication Date: December 1999
• Corporate Authors:

  Sangji Taehakkyo

  ,    
• Authors:
  • Hong, Yon-Sik
  • Jin, Hyunsoo
  • Park, Chong-Kug
• Publication Date: 1999

Language

• English

Media Info

• Pagination: p. 759-767
• Serial:
  • IEEE transactions on fuzzy systems. Vol. 7, no. 6
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Subject/Index Terms

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

Filing Info

• Accession Number: 00791708
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: May 5 2000 12:00AM