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dc.contributor.authorJalili, S
dc.contributor.authorNallaperuma, S
dc.contributor.authorKeedwell, E
dc.contributor.authorDawn, A
dc.contributor.authorOakes-Ash, L
dc.date.accessioned2021-04-21T14:41:56Z
dc.date.issued2021-03-30
dc.description.abstractWith rapid population growth, there is an urgent need for intelligent traffic control techniques in urban transportation networks to improve the network performance. In an urban transportation network, traffic signals have a significant effect on reducing congestion, improving safety, and improving environmental pollution. In recent years, researchers have been applied metaheuristic techniques for signal timing optimisation as one of the practical solution to enhance the performance of the transportation networks. Current study presents a comprehensive survey of such techniques and tools used in signal optimisation of transportation networks, providing a categorisation of approaches, discussion, and suggestions for future research.en_GB
dc.identifier.citationPublished online 30 March 2021en_GB
dc.identifier.doi10.1016/j.swevo.2021.100865
dc.identifier.urihttp://hdl.handle.net/10871/125413
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights.embargoreasonUnder embargo until 30 March 2022 in compliance with publisher policy.en_GB
dc.rights© 2021. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dc.subjectSignal optimisationen_GB
dc.subjectIntelligent controlen_GB
dc.subjectTransportationen_GB
dc.subjectNetworken_GB
dc.subjectMetaheuristicsen_GB
dc.titleApplication of Metaheuristics in Signal Optimisation of Transportation Networks: A Comprehensive Surveyen_GB
dc.typeArticleen_GB
dc.date.available2021-04-21T14:41:56Z
dc.identifier.issn2210-6502
exeter.article-number100865en_GB
dc.descriptionThis is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.en_GB
dc.identifier.journalSwarm and Evolutionary Computationen_GB
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/ en_GB
dcterms.dateAccepted2021-02-20
exeter.funder::Innovate UKen_GB
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2021-02-20
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-04-21T14:31:54Z
refterms.versionFCDAM
refterms.panelBen_GB


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© 2021. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  
Except where otherwise noted, this item's licence is described as © 2021. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/