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Performance evaluation of stage skipping and new data sources compared against MOVA control

Performance evaluation of stage skipping and new data sources compared against MOVA control
Performance evaluation of stage skipping and new data sources compared against MOVA control
This research describes a novel Delay Minimisation Algorithm (DEMA) for traffic signal control, which operates without a predetermined stage order. The paper includes a technical review of the problems surrounding a more flexible system compared to the traditional ‘cycle based’ approach. Applying DEMA to a case study intersection (currently controlled by MOVA) resulted in statistically significant improvements in performance across a range of demand scenarios. During congested conditions, there was a reduction of 5.62% in mean delay and up to a 22.17% reduction during lower demand scenarios. The mean journey time also reduced, ranging from a 3.52% to a 24.01% reduction.
2535-2540
Hamilton, Andrew
12ead9ac-0af5-4773-a657-906b4d89772b
Waterson, Ben
60a59616-54f7-4c31-920d-975583953286
Snell, I.
f84d7acc-0223-4b4b-954a-2c825dbcace7
Andrews, M.
9622a1fa-6aca-4008-b3de-d9e851b495ca
Hamilton, Andrew
12ead9ac-0af5-4773-a657-906b4d89772b
Waterson, Ben
60a59616-54f7-4c31-920d-975583953286
Snell, I.
f84d7acc-0223-4b4b-954a-2c825dbcace7
Andrews, M.
9622a1fa-6aca-4008-b3de-d9e851b495ca

Hamilton, Andrew, Waterson, Ben, Snell, I. and Andrews, M. (2014) Performance evaluation of stage skipping and new data sources compared against MOVA control. 2014 IEEE 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), China. 08 - 11 Oct 2014. pp. 2535-2540 . (doi:10.1109/ITSC.2014.6958096).

Record type: Conference or Workshop Item (Paper)

Abstract

This research describes a novel Delay Minimisation Algorithm (DEMA) for traffic signal control, which operates without a predetermined stage order. The paper includes a technical review of the problems surrounding a more flexible system compared to the traditional ‘cycle based’ approach. Applying DEMA to a case study intersection (currently controlled by MOVA) resulted in statistically significant improvements in performance across a range of demand scenarios. During congested conditions, there was a reduction of 5.62% in mean delay and up to a 22.17% reduction during lower demand scenarios. The mean journey time also reduced, ranging from a 3.52% to a 24.01% reduction.

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More information

e-pub ahead of print date: October 2014
Published date: October 2014
Venue - Dates: 2014 IEEE 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), China, 2014-10-08 - 2014-10-11
Organisations: Transportation Group

Identifiers

Local EPrints ID: 372144
URI: http://eprints.soton.ac.uk/id/eprint/372144
PURE UUID: 29dccd83-108c-4385-bd70-f50e4b908e2b
ORCID for Ben Waterson: ORCID iD orcid.org/0000-0001-9817-7119

Catalogue record

Date deposited: 02 Dec 2014 16:56
Last modified: 07 Aug 2019 00:48

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Contributors

Author: Andrew Hamilton
Author: Ben Waterson ORCID iD
Author: I. Snell
Author: M. Andrews

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