File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Optimisation of fixed-time signal timings for area traffic control using genetic algorithm

TitleOptimisation of fixed-time signal timings for area traffic control using genetic algorithm
Authors
KeywordsArea traffic control
Fixed-time signal settings
Genetic algorithm
Hill-climbing algorithm
Optimisation
TRANSYT traffic model
Issue Date1999
PublisherHong Kong Institution of Engineers. The Journal's web site is located at http://www.hkie.org.hk/html/publications/transactions/index.asp
Citation
Transactions Hong Kong Institution Of Engineers, 1999, v. 6 n. 1, p. 1-5 How to Cite?
AbstractIn this paper, a genetic algorithm is developed to optimise the fixed-time signal timings for area traffic control. The traffic model from TRANSYT is employed to evaluate the performance of a signal-controlled network. The encoding method, reproduction, crossover, mutation and fitness scale in the genetic algorithm are discussed and the detailed implementation of them in the optimisation process is also given. The advantages of the proposed genetic algorithm over the conventional hill-climbing method in TRANSYT are that the probabilistic nature of the genetic algorithm enables a near global optimum to be determined, since the search process covers more extensively the feasible region of the problem; and in contrast to the signal oplimiser in TRANSYT the proposed methodology enables the common cycle time, offsets, green splits and stage ordering to be optimised together in a unified manner.
Persistent Identifierhttp://hdl.handle.net/10722/70672
ISSN
2015 SCImago Journal Rankings: 0.145
References

 

DC FieldValueLanguage
dc.contributor.authorChan, KWen_HK
dc.contributor.authorWong, SCen_HK
dc.date.accessioned2010-09-06T06:25:04Z-
dc.date.available2010-09-06T06:25:04Z-
dc.date.issued1999en_HK
dc.identifier.citationTransactions Hong Kong Institution Of Engineers, 1999, v. 6 n. 1, p. 1-5en_HK
dc.identifier.issn1023-697Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/70672-
dc.description.abstractIn this paper, a genetic algorithm is developed to optimise the fixed-time signal timings for area traffic control. The traffic model from TRANSYT is employed to evaluate the performance of a signal-controlled network. The encoding method, reproduction, crossover, mutation and fitness scale in the genetic algorithm are discussed and the detailed implementation of them in the optimisation process is also given. The advantages of the proposed genetic algorithm over the conventional hill-climbing method in TRANSYT are that the probabilistic nature of the genetic algorithm enables a near global optimum to be determined, since the search process covers more extensively the feasible region of the problem; and in contrast to the signal oplimiser in TRANSYT the proposed methodology enables the common cycle time, offsets, green splits and stage ordering to be optimised together in a unified manner.en_HK
dc.languageengen_HK
dc.publisherHong Kong Institution of Engineers. The Journal's web site is located at http://www.hkie.org.hk/html/publications/transactions/index.aspen_HK
dc.relation.ispartofTransactions Hong Kong Institution of Engineersen_HK
dc.subjectArea traffic controlen_HK
dc.subjectFixed-time signal settingsen_HK
dc.subjectGenetic algorithmen_HK
dc.subjectHill-climbing algorithmen_HK
dc.subjectOptimisationen_HK
dc.subjectTRANSYT traffic modelen_HK
dc.titleOptimisation of fixed-time signal timings for area traffic control using genetic algorithmen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1023-697X&volume=6&spage=1 &epage= 5&date=1999&atitle=Optimisation+of+fixed-time+signal+timings+for+area+traffic+control+using+genetic+algorithmen_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-s2.0-0042033906en_HK
dc.identifier.hkuros41097en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0042033906&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume6en_HK
dc.identifier.issue1en_HK
dc.identifier.spage1en_HK
dc.identifier.epage5en_HK
dc.publisher.placeHong Kongen_HK
dc.identifier.scopusauthoridChan, KW=8587755300en_HK
dc.identifier.scopusauthoridWong, SC=24323361400en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats