Genetic Algorithm Based Approach for the Optimal Location of Traffic Counts Sections

This paper proposes a genetic algorithm approach for solving the problem of optimal location of traffic count sections. This approach aims at assessing the efficacy of a transportation based rule proposed by others in previous studies. These approaches are tested on a real size extra-urban road network and are compated to a state-of-the-art rule that is widely used in practical applications.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/0784407991
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Cipriani, E
  • Petrelli, M
• Conference:
  • Applications of Advanced Technology in Transportation. The Ninth International Conference
  • Location: Chicago Illinois, United States
  • Date: 2006-8-13 to 2006-7-16
• Publication Date: 2006

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 449-454
• Monograph Title: Applications of Advanced Technology in Transportation. Proceedings of the Ninth International Conference

Subject/Index Terms

• TRT Terms: City planning; Genetic algorithms; Location; Optimization; State of the art; Traffic counting; Traffic counting stations; Traffic counts; Urban areas; Urban highways
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01038602
• Record Type: Publication
• ISBN: 0784407991
• Files: TRIS
• Created Date: Dec 29 2006 11:07AM