On-line travel time forecasts for real-time traveller information system in Hong Kong

K. S. Chan, Hing Keung William Lam

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

Abstract

This paper presents an on-line forecasting approach for real-time traveller information system in Hong Kong. These forecasts are based on the real-time traffic data and the off-line travel time forecasts. The real-time traffic data which consist of Autotoll tag data, Global Positioning System data and Closed Circuit Television data, are incorporated to update the on-line travel time database. The Traffic Flow Simulator is developed to obtain the off-line travel time forecasts and the variance-covariance matrices for short-term travel time forecasting. The real-time traffic data are used for updating the on-line travel time database and the variance-covariance matrices. The deliverables of the real-time traveller information system are on-line travel times, shortest path by a selected origin and destination and speed map which can be displayed in the website.
Original languageEnglish
Title of host publicationTransportation and the Economy - Proceedings of the 10th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2005
Pages94-102
Number of pages9
Publication statusPublished - 1 Dec 2005
Event10th International Conference of Hong Kong Society for Transportation Studies: Transportation and the Economy, HKSTS 2005 - Kowloon, Hong Kong
Duration: 10 Dec 200510 Dec 2005

Conference

Conference10th International Conference of Hong Kong Society for Transportation Studies: Transportation and the Economy, HKSTS 2005
Country/TerritoryHong Kong
CityKowloon
Period10/12/0510/12/05

ASJC Scopus subject areas

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

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