Using Automatic Vehicle Identification Data for Estimating Current Travel Times in Hong Kong

This paper presents a Real-Time Information System (RTIS) for Hong Kong, in which a solution algorithm is proposed for estimating current travel times using automatic vehicle identification (AVI) data. The RTIS solution algorithm estimates the current travel time by integrating both the filtered on-line travel time data and off-line travel time estimates. The on-line travel time data are filtered based upon the following four factors: expected average journey time and journey time variability in previous and current time intervals; number of consecutive intervals without any readings since the last recorded trip time; number of consecutive data points either above or below the validity range and validity of observed travel times on a given path based on the sequence of vehicle entry and exit times from the path. The proposed RTIS solution algorithm can update the current travel time database once every 5 minutes on the basis of both the filtered on-line travel times and the off-line travel time forecasts. A case study is carried out in Hong Kong to collect observed data for validation of the results of the proposed RTIS solution algorithm and comparison with the results of the other three existing AVI travel time estimation algorithms.

Language

  • English

Media Info

  • Media Type: CD-ROM
  • Features: Figures; References; Tables;
  • Pagination: 15p
  • Monograph Title: TRB 86th Annual Meeting Compendium of Papers CD-ROM

Subject/Index Terms

Filing Info

  • Accession Number: 01055816
  • Record Type: Publication
  • Report/Paper Numbers: 07-1836
  • Files: BTRIS, TRIS, TRB
  • Created Date: Feb 8 2007 6:32PM