Application of automatic vehicle identification technology for real-time journey time estimation

Mei Lam Tam, Hing Keung William Lam

Research output: Journal article publicationJournal articleAcademic researchpeer-review

36 Citations (Scopus)


This paper presents a real-time traveler information system (RTIS) for journey time estimation using automatic vehicle identification (AVI) data in Hong Kong. This RTIS can also deduce the travel times on the other road links without real-time AVI data. The travel times, in RTIS, are estimated by the real-time AVI data, the off-line travel time estimates and the related spatial 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 spatial variance-covariance matrices are obtained from a traffic flow simulator. By integration of these real-time and off-line traffic data together, the travel times on the road links either with or without real-time AVI data can be updated at 5-min intervals. Validation of journey time estimates is carried out at various selected paths in Hong Kong urban area. The results show that the performance of RTIS on real-time journey time estimation in Hong Kong is satisfactory and acceptable.
Original languageEnglish
Pages (from-to)11-19
Number of pages9
JournalInformation Fusion
Issue number1
Publication statusPublished - 1 Jan 2011


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

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Hardware and Architecture
  • Information Systems


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