Evaluation of real-time data collection technologies for journey time estimation

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

Abstract

In this paper, three technologies for real-time traffic data collection, namely automatic vehicle identification (AVI), global positioning system (GPS) and video image processing (VIP), are evaluated. Their performances on journey time estimation are compared in a case study in Hong Kong. Journey times on a selected path are estimated using dataset collected by each of these three technologies and different combination of these datasets. Observation survey is conducted during a morning period on the selected path to validate the journey time estimates. It was found that the combination of AVI and VIP data can be used to provide cost-effective solution for real-time journey time estimation in Hong Kong.
Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Traffic and Transportation Studies Congress 2008
Subtitle of host publicationTraffic and Transportation Studies Congress 2008, ICTTS 2008
Pages54-65
Number of pages12
Volume322
Publication statusPublished - 1 Dec 2008
Event6th International Conference on Traffic and Transportation Studies Congress 2008: Traffic and Transportation Studies Congress 2008, ICTTS 2008 - Nanning, China
Duration: 5 Aug 20087 Aug 2008

Conference

Conference6th International Conference on Traffic and Transportation Studies Congress 2008: Traffic and Transportation Studies Congress 2008, ICTTS 2008
Country/TerritoryChina
CityNanning
Period5/08/087/08/08

Keywords

  • Automatic vehicle identification
  • Data collection technology
  • Global positioning system
  • Journey time estimation
  • Video image processing

ASJC Scopus subject areas

  • Transportation
  • Public Administration

Cite this