Nantes, A, Ngoduy, D orcid.org/0000-0002-0446-5636, Bhaskar, A et al. (2 more authors) (2016) Real-time traffic state estimation in urban corridors from heterogeneous data. Transportation Research Part C: Emerging Technologies, 66. pp. 99-118. ISSN 0968-090X
Abstract
In recent years, rapid advances in information technology have led to various data collection systems which are enriching the sources of empirical data for use in transport systems. Currently, traffic data are collected through various sensors including loop detectors, probe vehicles, cell-phones, Bluetooth, video cameras, remote sensing and public transport smart cards. It has been argued that combining the complementary information from multiple sources will generally result in better accuracy, increased robustness and reduced ambiguity. Despite the fact that there have been substantial advances in data assimilation techniques to reconstruct and predict the traffic state from multiple data sources, such methods are generally data-driven and do not fully utilize the power of traffic models. Furthermore, the existing methods are still limited to freeway networks and are not yet applicable in the urban context due to the enhanced complexity of the flow behavior. The main traffic phenomena on urban links are generally caused by the boundary conditions at intersections, un-signalized or signalized, at which the switching of the traffic lights and the turning maneuvers of the road users lead to shock-wave phenomena that propagate upstream of the intersections. This paper develops a new model-based methodology to build up a real-time traffic prediction model for arterial corridors using data from multiple sources, particularly from loop detectors and partial observations from Bluetooth and GPS devices.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | Urban traffic estimation; Incremental extended Kalman filter; Multi-source data fusion; First order traffic model |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Sep 2016 11:29 |
Last Modified: | 04 Nov 2016 06:49 |
Published Version: | http://dx.doi.org/10.1016/j.trc.2015.07.005 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.trc.2015.07.005 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:88601 |