Highlights Seamless traffic state (travel time and density) estimation on signalised urban networks. Fusion of loops and Bluetooth. Considering errors in Bluetooth data, and non conservation of vehicles on urban networks.
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%.
Urban traffic state estimation: Fusing point and zone based data
Tramsportation Research, Part C: Emerging Technologies ; 48 ; 120-142
2014-08-18
23 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Bluetooth , Loop , Data fusion , Travel time , Density , Signals
Urban traffic state estimation: Fusing point and zone based data
Online Contents | 2014
|An Approach to Urban Traffic State Estimation by Fusing Multisource Information
Online Contents | 2009
|Urban traffic model construction method fusing mobile phone signaling and travel survey data
Europäisches Patentamt | 2023
|Taylor & Francis Verlag | 2013
|