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Urban traffic state estimation for signal control using mixed data sources and the extended Kalman filter

Box, S., Snell, I., Waterson, B. and Wilson, R.E. (2013) Urban traffic state estimation for signal control using mixed data sources and the extended Kalman filter At 92nd Annual Meeting of the Transportation Research Board, United States. 13 - 17 Jan 2013.

Record type: Conference or Workshop Item (Paper)

Abstract

This paper describes a methodology for fusing data from multiple sensors, including wireless devices and inductive loops, to make an estimation of the instantaneous state of an urban traffic network. An extended Kalman filter is employed along with a state evolution model to make estimates of the state in a discretized network. The instantaneous state is an estimate of the current distribution of vehicles in the network and their instantaneous speeds. Microsimulation tests were used to evaluate the performance of the state estimation on a small urban networks. These results indicate low error between the estimated state and the known ground truth.

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More information

Published date: January 2013
Venue - Dates: 92nd Annual Meeting of the Transportation Research Board, United States, 2013-01-13 - 2013-01-17
Organisations: Transportation Group

Identifiers

Local EPrints ID: 350159
URI: http://eprints.soton.ac.uk/id/eprint/350159
PURE UUID: aeb5d7c3-f1e5-4b28-b31e-639e03281e00
ORCID for B. Waterson: ORCID iD orcid.org/0000-0001-9817-7119

Catalogue record

Date deposited: 19 Mar 2013 15:15
Last modified: 18 Jul 2017 04:36

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Contributors

Author: S. Box
Author: I. Snell
Author: B. Waterson ORCID iD
Author: R.E. Wilson

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