Network-wide on-line travel time estimation with inconsistent data from multiple sensor systems under network uncertainty

Hu Shao, Hing Keung William Lam, Agachai Sumalee, Anthony Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)

Abstract

This paper proposes a new modeling approach for network-wide on-line travel time estimation with inconsistent data from multiple sensor systems. It makes full use of both the available data from multiple sensor systems (on-line data) and historical data (off-line data). The first- and second-order statistical properties of the on-line data are investigated together with the data inconsistency issue to estimate network-wide travel times. The proposed model is formulated as a generalized least squares problem with non-linear constraints. A solution algorithm based on the penalty function method is adopted to solve the proposed model, whose application is illustrated by numerical examples using a local road network in Hong Kong.
Original languageEnglish
Pages (from-to)110-129
Number of pages20
JournalTransportmetrica A: Transport Science
Volume14
Issue number1-2
DOIs
Publication statusPublished - 2 Jan 2018

Keywords

  • generalized least squares
  • Intelligent Transportation Systems
  • off-line data
  • on-line data
  • Travel time estimation

ASJC Scopus subject areas

  • Transportation
  • Engineering(all)

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