Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26294
Title: Special issue : Emerging technologies for intelligent transportation
Authors: Lam, WHK 
Issue Date: 2015
Publisher: John Wiley & Sons
Source: Journal of advanced transportation, 2015, v. 49, no. 2, p. 171-173 How to cite?
Journal: Journal of advanced transportation 
Abstract: Recent rapid development of intelligent transportation systems (ITS) makes it possible to improve the efficiency and reliability of transportation networks. Several articles have been presented regarding this topic in the Special Issue of Journal of Advanced Transportation. Wang and Khattak indicated that there is spatial heterogeneity in information acquisition and user decisions. Bekhor and colleagues showed that cellular phone technologies could be used to provide travel data for development of national travel demand model. Based on the deployment of automatic vehicle identification (AVI) technology in urban road network in Beijing, China, Feng and co-researchers proposed a particle filter method for vehicle trajectory reconstruction with the use of AVI and traffic count data. Yang and co-researchers proposed two proactive VSL control models for use on recurrently congested freeway segments. The embedded traffic flow relationships are adopted in the first proactive model to predict the evolution of congestion pattern and to optimize the speed limit on freeway segments with VSL. Using multi-source sensor data, Lu and researchers proposed a Kalman filter model for estimation of time-dependent origin?destination (OD) matrix that is a key input to the self-adaptive traffic control systems for real-time traffic management.
URI: http://hdl.handle.net/10397/26294
ISSN: 0197-6729
EISSN: 2042-3195
DOI: 10.1002/atr.1304
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