A Generic Approach to Estimate Freeway Traffic Time Using Vehicle ID-Matching Technologies

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

New technologies have emerged to estimate the travel time on freeways by matching certain unique identifications of passing vehicles at different locations. These types of technologies share many similarities despite having different mechanisms. In this article, a generic method is presented to estimate freeway travel times using vehicle ID-matching technologies. In particular, the new method addresses two long-standing challenges: outlier screening and travel time estimation. Innovations include (1) using both statistical methods and traffic flow theory to screen outliers; and (2) accounting for mechanisms of various equipment measurement errors. The effectiveness of the proposed method is demonstrated using simulation and shown to be more accurate and responsive to travel time changes than methods based on the use of traditional inductive loops.

Original languageEnglish
Pages (from-to)351-365
Number of pages15
JournalComputer-Aided Civil and Infrastructure Engineering
Volume31
Issue number5
DOIs
StatePublished - May 1 2016

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Computational Theory and Mathematics

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