Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18951
Title: Real-time travel time estimation using automatic vehicle identification data in Hong Kong
Authors: Tam, ML
Lam, WHK 
Keywords: Automatic vehicle identification data
Hong Kong
Real-time traveler information system
Issue Date: 2007
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2007, v. 4413 LNAI, p. 352-361 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: This paper proposes a real-time traveler information system (RTIS) for estimating current travel times using automatic vehicle identification (AVI) data in Hong Kong. The current travel times, in RTIS, are estimated by real-time AVI data, the off-line travel time estimates and the related 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.
Description: 1st International Conference on Hybrid Information Technology, ICHIT 2006, Jeju Island, 9-11 November 2006
URI: http://hdl.handle.net/10397/18951
ISBN: 3540773673
9783540773672
ISSN: 0302-9743
EISSN: 1611-3349
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