Real-time travel time estimation using automatic vehicle identification data in Hong Kong

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

7 Citations (Scopus)


This paper proposes a real-time traveler information system (RTIS) for estimating current travel times using automatic vehicle identification (AVI) data in Hong Kong. The current travel times, in RTIS, are estimated by real-time AVI data, the off-line travel time estimates and the related variance-covariance relationships between road links. The real-time AVI data adopted for RTIS are Autotoll tag data in Hong Kong; whereas the off-line link travel time estimates and their variance-covariance matrices are obtained from a traffic flow simulator. On the basis of integration of these real-time and off-line traffic data, the current traffic conditions on Hong Kong major roads can be estimated at five-minute intervals. A case study is carried out in Kowloon Central urban area to collect observed data for validation of the results of the proposed RTIS.
Original languageEnglish
Title of host publicationAdvances in Hybrid Information Technology - First International Conference, ICHIT 2006, Revised Selected Papers
Number of pages10
Publication statusPublished - 1 Dec 2007
Event1st International Conference on Hybrid Information Technology, ICHIT 2006 - Jeju Island, Korea, Republic of
Duration: 9 Nov 200611 Nov 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4413 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference1st International Conference on Hybrid Information Technology, ICHIT 2006
Country/TerritoryKorea, Republic of
CityJeju Island


  • Automatic vehicle identification data
  • Hong Kong
  • Real-time traveler information system

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

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