Quality measures of origin-destination trip table estimated from traffic counts: Review and new generalized demand scale measure

Anthony Chen, Piya Chootinan, Seungkyu Ryu, S. C. Wong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)

Abstract

The goals of this paper are to (1) provide a review of the recently developed measures for assessing the quality of origindestination (O-D) trip tables estimated from traffic counts and (2) propose a new generalized demand scale (GDS) measure. This GDS quality measure generalizes the total demand scale (TDS) quality measure by allowing the assessment of the intrinsic underdeterminant problem of O-D estimation from traffic counts at various spatial levels. Numerical examples are provided to compare the proposed GDS measure with the TDS measure, the maximal possible relative error, and the expected relative error and to illustrate the features of the GDS measure.
Original languageEnglish
Pages (from-to)1340-1349
Number of pages10
JournalJournal of Transportation Engineering
Volume138
Issue number11
DOIs
Publication statusPublished - 1 Dec 2012
Externally publishedYes

Keywords

  • Error bounds
  • Origin-destination estimation
  • Path flow estimator
  • Stochastic user equilibrium

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation

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