Urban traffic state estimation: Fusing point and zone based data

Bhaskar, Ashish, Tsubota, Takahiro, Kieu, Le Minh, & Chung, Edward (2014) Urban traffic state estimation: Fusing point and zone based data. Transportation Research Part C : Emerging Technologies, 48, pp. 120-142.

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Abstract

Loop detectors are the oldest and widely used traffic data source. On urban arterials, they are mainly installed for signal control. Recently state of the art Bluetooth MAC Scanners (BMS) has significantly captured the interest of stakeholders for exploiting it for area wide traffic monitoring. Loop detectors provide flow- a fundamental traffic parameter; whereas BMS provides individual vehicle travel time between BMS stations. Hence, these two data sources complement each other, and if integrated should increase the accuracy and reliability of the traffic state estimation.

This paper proposed a model that integrates loops and BMS data for seamless travel time and density estimation for urban signalised network. The proposed model is validated using both real and simulated data and the results indicate that the accuracy of the proposed model is over 90%.

Impact and interest:

5 citations in Scopus
4 citations in Web of Science®
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ID Code: 69913
Item Type: Journal Article
Refereed: Yes
Keywords: Bluetooth, Density, Travel Time, Signalised network, CUPRITE
DOI: 10.1016/j.trc.2014.08.015
ISSN: 0968-090X
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Current > Research Centres > Smart Transport Research Centre
Copyright Owner: Copyright 2014 Elsevier
Deposited On: 17 Sep 2014 00:57
Last Modified: 15 Sep 2015 22:37

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