TRAFFIC SIGNAL CONTROL BASED ON AGENT AND FL-MOGA

This paper studies traffic signal control method based on agent, fuzzy logic (FL), and multi-objective genetic algorithms (MOGA) for intersection with through and lest-turning movements. The traffic signal control system for intersection in local area can be built up by using the term of agent, and it comprises four levels: center command layer, local area coordination layer, isolated intersection control layer, and optimizing layer. This paper focus on discussing isolated intersection control layer and optimizing layer. The proposed method has the adaptive signal timing ability, and can make adjustments to signal timing in response to observed changes for intersections in local area. This method has the ability to make adjustments to signal timing in response to observed changes. Simulation results show that our proposed has the ability to adjust its signal timing in response to changing traffic conditions on a real-time basis.

• Supplemental Notes:
  • Full Conference Proceedings available on CD-ROM.
• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Wei, W
  • Yi, Z
  • Duan, Liwei
• Conference:
  • 9th World Congress on Intelligent Transport Systems
  • Location: Chicago, Illinois
  • Date: 2002-10-14 to 2002-10-17
• Publication Date: 2002

Language

• English

Media Info

• Pagination: 10p

Subject/Index Terms

• TRT Terms: Coordination; Fuzzy logic; Genetic algorithms; Intersections; Local transportation; Real time information; Simulation; Traffic signal control systems; Traffic signal timing
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 00960372
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 31 2003 12:00AM