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Article: Group-based optimisation of signal timings using parallel computing

TitleGroup-based optimisation of signal timings using parallel computing
Authors
Issue Date1997
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trc
Citation
Transportation Research Part C: Emerging Technologies, 1997, v. 5 n. 2, p. 123-139 How to Cite?
AbstractThis paper presents the use of parallel computing in the group-based optimisation of signal timings for area traffic control. The scope of parallel computing to speed up the optimisation heuristics, consisting of a mixture of network-wide steps, in which control variables for signal settings at all junctions are changed simultaneously, and junction-based steps, in which the variables at each junction are changed in turn, is examined. Parallel algorithms and a dynamic load balancing scheme are developed for these optimisation heuristics. A trial network from Leicestershire, England is used to demonstrate the performance of parallel computing. A useful saving in computing time is obtained for the example of the standard optimisation procedure, and for the examples of random offsets calculation and sequencing analysis substantial reductions of computing times are achieved. In general, the performance of parallel computing in group-based optimisation of signal timings improves as the number of independent paths in the task schedule increases. © 1997 Elsevier Science Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/71851
ISSN
2015 Impact Factor: 3.075
2015 SCImago Journal Rankings: 2.062
References

 

DC FieldValueLanguage
dc.contributor.authorWong, SCen_HK
dc.date.accessioned2010-09-06T06:35:44Z-
dc.date.available2010-09-06T06:35:44Z-
dc.date.issued1997en_HK
dc.identifier.citationTransportation Research Part C: Emerging Technologies, 1997, v. 5 n. 2, p. 123-139en_HK
dc.identifier.issn0968-090Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/71851-
dc.description.abstractThis paper presents the use of parallel computing in the group-based optimisation of signal timings for area traffic control. The scope of parallel computing to speed up the optimisation heuristics, consisting of a mixture of network-wide steps, in which control variables for signal settings at all junctions are changed simultaneously, and junction-based steps, in which the variables at each junction are changed in turn, is examined. Parallel algorithms and a dynamic load balancing scheme are developed for these optimisation heuristics. A trial network from Leicestershire, England is used to demonstrate the performance of parallel computing. A useful saving in computing time is obtained for the example of the standard optimisation procedure, and for the examples of random offsets calculation and sequencing analysis substantial reductions of computing times are achieved. In general, the performance of parallel computing in group-based optimisation of signal timings improves as the number of independent paths in the task schedule increases. © 1997 Elsevier Science Ltd.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trcen_HK
dc.relation.ispartofTransportation Research Part C: Emerging Technologiesen_HK
dc.titleGroup-based optimisation of signal timings using parallel computingen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0968-090X&volume=5C&spage=123 &epage= 139&date=1997&atitle=Group-based+optimisation+of+signal+timings+using+parallel+computingen_HK
dc.identifier.emailWong, SC:hhecwsc@hku.hken_HK
dc.identifier.authorityWong, SC=rp00191en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0031284455en_HK
dc.identifier.hkuros23269en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0031284455&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume5en_HK
dc.identifier.issue2en_HK
dc.identifier.spage123en_HK
dc.identifier.epage139en_HK
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridWong, SC=24323361400en_HK

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