Estimation of instantaneous travel times for Hong Kong real-time traveller information system

Mei Lam Tam, Hing Keung William Lam

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

Abstract

This paper presents a real-time traveler information system (RTIS) for Hong Kong, which estimating instantaneous travel times using automatic vehicle identification (AVI) data. The system is a robust on-line updating platform for advanced traveler information, from which the real-time travel time estimates for Hong Kong road networks can be easily extracted. In the RTIS, the travel times are estimated by the real-time AV I data, the off-line travel time estimates and their 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 publicationProceedings of the 11th International Conference of Hong Kong Society for Transportation Studies
Subtitle of host publicationSustainable Transportation
Pages563-572
Number of pages10
Publication statusPublished - 1 Dec 2006
Event11th International Conference of Hong Kong Society for Transportation Studies: Sustainable Transportation - Kowloon, Hong Kong
Duration: 9 Dec 200611 Dec 2006

Conference

Conference11th International Conference of Hong Kong Society for Transportation Studies: Sustainable Transportation
Country/TerritoryHong Kong
CityKowloon
Period9/12/0611/12/06

ASJC Scopus subject areas

  • Automotive Engineering
  • Civil and Structural Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Transportation

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