Application of an extended Kalman filter traffic estimation scheme to microsimulation
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Date
2018
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Other Conference Item
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Abstract
In this work we study the problem of traffic state estimation for large-scale urban networks. Given a network that is partitioned in a number of regions, the aggregated traffic dynamics describe the vehicle accumulations in each region, as well as the transferring flows among neighbouring regions. Considering the fact that many such models have been extensively used for control in the literature recently, this work tackles the real-time estimation problem when limited data are available. Recently, there has been a lot of development with respect to methodologies for perimeter control that utilize the Macroscopic Fundamental Diagram (MFD) for multi-region urban networks. All these controllers are based on aggregated state-space modelling for the dynamics of the system. Nevertheless, from the viewpoint of field implementations of such approaches, there is a missing part (i.e. online state estimation) that is crucial to fill the gap between available data and the controller input requirements in order to close the real-time control loop.
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published
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5520
Publisher
TUM, Technische Universität München
Event
7th Symposium of the European Association for Research in Transportation (hEART 2018)
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Organisational unit
08686 - Gruppe Strassenverkehrstechnik
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
Notes
Extended abstract