A methodology for traffic state estimation and signal control utilizing high wireless device penetration
A methodology for traffic state estimation and signal control utilizing high wireless device penetration
This paper presents a methodology for fusing data from multiple sensors, including wireless devices, to make an estimation of the 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. Results are presented from simulation tests of signal controllers on a network with three signalized junctions. Two signal control methods are tested: SCOOT and a machine learning junction control algorithm that employs the discretized state structure described in this paper. These tests represent lower and upper performance benchmarks and present a significant difference. The tests also demonstrate a framework for the future evaluation of the proposed methodology.
Box, S.
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Snell, I.
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Waterson, B.
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Hamilton, Andrew
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23 October 2012
Box, S.
2bc3f3c9-514a-41b8-bd55-a8b34fd11113
Snell, I.
f84d7acc-0223-4b4b-954a-2c825dbcace7
Waterson, B.
60a59616-54f7-4c31-920d-975583953286
Hamilton, Andrew
479bec89-827c-4ed3-8569-12501d6d6162
Box, S., Snell, I., Waterson, B. and Hamilton, Andrew
(2012)
A methodology for traffic state estimation and signal control utilizing high wireless device penetration.
19th ITS World Congress, Vienna, Austria.
21 - 26 Oct 2012.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper presents a methodology for fusing data from multiple sensors, including wireless devices, to make an estimation of the 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. Results are presented from simulation tests of signal controllers on a network with three signalized junctions. Two signal control methods are tested: SCOOT and a machine learning junction control algorithm that employs the discretized state structure described in this paper. These tests represent lower and upper performance benchmarks and present a significant difference. The tests also demonstrate a framework for the future evaluation of the proposed methodology.
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BoxEtAlITSviennaFinal.pdf
- Author's Original
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Published date: 23 October 2012
Venue - Dates:
19th ITS World Congress, Vienna, Austria, 2012-10-21 - 2012-10-26
Organisations:
Transportation Group
Identifiers
Local EPrints ID: 350156
URI: http://eprints.soton.ac.uk/id/eprint/350156
PURE UUID: 55000843-f80b-4dc5-b427-c6d4f9e20f3d
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Date deposited: 19 Mar 2013 14:43
Last modified: 15 Mar 2024 02:58
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Contributors
Author:
S. Box
Author:
I. Snell
Author:
Andrew Hamilton
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