A generic data assimilation framework for vehicle trajectory reconstruction on signalized urban arterials using particle filters

A generic data assimilation framework for vehicle trajectory reconstruction on signalized urban... •Generic particle filter framework to estimate plausible vehicle trajectories.•This framework uses vehicle passages, traffic control data, and travel time data.•Any microscopic traffic flow model can be used as system model.•We explicitly address counting & accumulation errors in all data sources.•We estimate counts, departures and trajectories well within a 10% error. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Transportation Research Part C: Emerging Technologies Elsevier

A generic data assimilation framework for vehicle trajectory reconstruction on signalized urban arterials using particle filters

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0968-090X
D.O.I.
10.1016/j.trc.2018.05.009
Publisher site
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Abstract

•Generic particle filter framework to estimate plausible vehicle trajectories.•This framework uses vehicle passages, traffic control data, and travel time data.•Any microscopic traffic flow model can be used as system model.•We explicitly address counting & accumulation errors in all data sources.•We estimate counts, departures and trajectories well within a 10% error.

Journal

Transportation Research Part C: Emerging TechnologiesElsevier

Published: Jul 1, 2018

References

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