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.
Administrators only until 1 November 2017 | Request a copy from author
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:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Journal Article|
|Keywords:||Bluetooth, Density, Travel Time, Signalised network, CUPRITE|
|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|
Repository Staff Only: item control page