MULTIPLE-VEHICLE ORIGIN--DESTINATION MATRIX ESTIMATION FROM TRAFFIC COUNTS USING GENETIC ALGORITHM

Existing methods for estimating origin--destination (O-D) matrix from link traffic counts cannot consider multiple-vehicle information, which is easily obtained from a field survey. Those methods use a single-vehicle information and it may decrease the performance of an O-D matrix estimator. Up until now, there is little research regarding multiple-vehicle O-D matrix estimation from multiple-vehicle link counts. This paper suggests a multiple-vehicle O-D matrix estimation from traffic counts using a genetic algorithm (GA). From the numerical tests, the authors found that the performance of the GA was better than those of the previous methods for the error of target O-D matrix and for the number of link counts. In this paper, it was also found that the method provided good results on the error of target O-D matrix and on the varied O-D matrix structure, which occurred when the target O-D matrix was different from the true one.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/8674831
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Baek, S
  • Kim, H Y
  • Lim, Y B
• Publication Date: 2004-5

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 339-347
• Serial:
  • Journal of Transportation Engineering
  • Volume: 130
  • Issue Number: 3
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-947X
  • Serial URL: https://ascelibrary.org/journal/jtepbs

Subject/Index Terms

• TRT Terms: Genetic algorithms; Origin and destination; Traffic counts; Traffic engineering; Traffic estimation; Traffic volume
• Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 00973899
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: May 10 2004 12:00AM