The Verification with Real-World Road Network on Optimization of Traffic Signal Parameters using Multi-Element Genetic Algorithms

Recently, traffic congestion has become a chronic problem in the urban region which greatly affects the economic and environmental problems. Several methods have been proposed to solve these problems. However, they still have problems in terms of economic load and driver difficulty. In this study, the authors develop the Multi-Element Genetic Algorithms conducted certain generation recombination for various complicated optimization problem and the optimized traffic signal parameters are verified with the real road network using Aimsun6.1 simulator. The proposed method could provide good verification results.

• Supplemental Notes:
  • Abstract reprinted with permission from Intelligent Transportation Society of America.
• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Nishihara, Toshiki
  • Wijaya, Gede Pasek Suta
  • Matsumoto, Syunta
  • Koutaki, Gou
  • Uchimura, Keiichi
  • Sugitani, Hiroshi
  • Ishigaki, Shinichi
• Conference:
  • 19th ITS World Congress
  • Location: Vienna , Austria
  • Date: 2012-10-22 to 2012-10-26
• Publication Date: 2012

Language

• English

Media Info

• Media Type: Digital/other
• Features: CD-ROM; Figures; Maps; References; Tables;
• Pagination: 13p
• Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012

Subject/Index Terms

• TRT Terms: Genetic algorithms; Optimization; Traffic congestion; Traffic signal control systems; Traffic signal timing; Traffic signals
• Identifier Terms: AIMSUN (Computer model)
• Geographic Terms: Japan
• Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01499154
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 21 2013 9:14AM