A constrained generalized least squares technique for origin-destination trip table estimation: An application in paramics

Sarawut Jansuwan, Piya Chootinan, Anthony Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

An origin-destination (O-D) trip table is one of primary inputs required in transportation studies including traffic simulation models. In this study, we apply the concept of constrained generalized least squares (CGLS) within the bilevel programming framework to estimate O-D trip tables for PARAMICS, a microscopic traffic simulator. Zonal capacity constraints are added to account for unreleased vehicles during the simulation such that a reasonable estimate of O-D demand can be determined. In addition, the gradient projection (GP) technique is proposed for solving the CGLS sub-problem due to its efficiency in handling large-scale problems. Numerical results are provided using a freeway corridor network to demonstrate the capability of the proposed procedure. Preliminary results are encouraging.
Original languageEnglish
Title of host publicationProceedings of the 11th International Conference of Hong Kong Society for Transportation Studies
Subtitle of host publicationSustainable Transportation
Pages249-258
Number of pages10
Publication statusPublished - 1 Dec 2006
Externally publishedYes
Event11th International Conference of Hong Kong Society for Transportation Studies: Sustainable Transportation - Kowloon, Hong Kong
Duration: 9 Dec 200611 Dec 2006

Conference

Conference11th International Conference of Hong Kong Society for Transportation Studies: Sustainable Transportation
CountryHong Kong
CityKowloon
Period9/12/0611/12/06

ASJC Scopus subject areas

  • Automotive Engineering
  • Civil and Structural Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Transportation

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