THE DEVELOPMENT OF FUZZY CONTROL ALGORITHMS FOR A SIGNALISED PEDESTRIAN CROSSING : FUZZY SIMILARITY AND CALIBRATION OF MEMBERSHIP FUNCTIONS

Fuzzy logic has been tested in controlling traffic signals since the 1970s and has been shown to decrease delays when compared to traditional vehicle-actuated control. The ability of fuzzy logic to handle complex, dynamic and inexact situations is one of the reasons it has been applied to traffic control. Using simulation, fuzzy logic has been tested at simple pedestrian crossings with push-buttons and vehicle-actuated signal control. The problems with pedestrian crossings are mainly increased vehicle delay, when pedestrians activate the push-button but do not wait for the signal to turn green and decreased traffic safety. In the optimization of traffic signals it is important to keep pedestrian waiting time as short as possible while at the same time minimizing vehicle delay and the danger of rear-end collisions. Simulation results have shown that fuzzy logic is one of the very promising new methods of optimizing the functioning of traffic signals. This study was a part of an international research project FUSICO (FUzzy SIgnal COntrol) started in 1996. The aim of FUSICO is to study the opportunities of fuzzy logic in controlling traffic > >

• Supplemental Notes:
  • Publication Date: 2000 Transportation Research Board, Washington DC Remarks: Presentation at the 79th annual meeting of the Transportation Research Board, Washington, D.C., January 2000
• Corporate Authors:

  Texas Transportation Institute

  Texas A&M University System, 3135 TAMU
  College Station, TX  United States  77843-3135
• Authors:
  • Nittymaki, Jarkko
  • Granberg, Mette
• Conference:
  • Transportation Research Board 79th Annual Meeting
  • Location: Washington D.C.
  • Date: 2000-1-9 to 2000-1-13
• Date: 2000

Language

• English

Media Info

• Pagination: 20 p.

Subject/Index Terms

• TRT Terms: Fuzzy logic; Fuzzy systems; Pedestrians; Safety; Traffic control; Traffic signals
• Subject Areas: Operations and Traffic Management; Pedestrians and Bicyclists; Safety and Human Factors;

Filing Info

• Accession Number: 00788711
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Mar 23 2000 12:00AM