Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14544
Title: Evaluation of real-time data collection technologies for journey time estimation
Authors: Lam, WHK 
Tam, ML
Keywords: Automatic vehicle identification
Data collection technology
Global positioning system
Journey time estimation
Video image processing
Issue Date: 2008
Source: Proceedings of the Conference on Traffic and Transportation Studies, ICTTS, 2008, v. 322, p. 54-65 How to cite?
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.
Description: 6th International Conference on Traffic and Transportation Studies Congress 2008: Traffic and Transportation Studies Congress 2008, ICTTS 2008, Nanning, 5-7 August 2008
URI: http://hdl.handle.net/10397/14544
ISBN: 9780784409954
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

31
Last Week
6
Last month
Checked on Oct 16, 2017

Google ScholarTM

Check



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.