Optimization of a complex urban intersection using discrete event simulation and evolutionary algorithms

Mihəiţə, AS; Camargo, M; Lhoste, P

Optimization of a complex urban intersection using discrete event simulation and evolutionary algorithms

Mihəiţə, AS Camargo, M Lhoste, P

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Publisher:: Elsevier BV
Publication Type:: Conference Proceeding
Citation:: IFAC Proceedings Volumes (IFAC-PapersOnline), 2014, 19, (3), pp. 8768-8774
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Mihəiţə, AS
dc.contributor.author	Camargo, M
dc.contributor.author	Lhoste, P
dc.date.accessioned	2023-01-11T03:14:25Z
dc.date.available	2023-01-11T03:14:25Z
dc.date.issued	2014-01-01
dc.identifier.citation	IFAC Proceedings Volumes (IFAC-PapersOnline), 2014, 19, (3), pp. 8768-8774
dc.identifier.isbn	9783902823625
dc.identifier.issn	1474-6670
dc.identifier.uri	http://hdl.handle.net/10453/164850
dc.description.abstract	Dealing with traffic management for complex crossroads is a challenging problem for traffic control planners. As a contribution to solve this problem, the present paper develops a mesoscopic simulation model for detecting the most suited fire plan for a complex road intersection, using a discrete event simulation tool and an evolutionary algorithm optimization. The modeling goal is to eliminate congestion by choosing an appropriate fire plan which will be adapted to the actual configuration of the intersection, as well as to a future reconfiguration meant to accept a higher inflow of vehicles. The proposed model is applied to a down-town crossroads from Nancy, France. Four different configurations of the input data flow were studied under the proposed simulation-optimization approach, and an optimal fire plan is proposed.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	IFAC Proceedings Volumes (IFAC-PapersOnline)
dc.relation.isbasedon	10.3182/20140824-6-za-1003.01072
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Optimization of a complex urban intersection using discrete event simulation and evolutionary algorithms
dc.type	Conference Proceeding
utslib.citation.volume	19
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/A/DRsch The Data Science Institute
utslib.copyright.status	closed_access	*
dc.date.updated	2023-01-11T03:14:22Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	19
utslib.citation.issue	3

Abstract:

Dealing with traffic management for complex crossroads is a challenging problem for traffic control planners. As a contribution to solve this problem, the present paper develops a mesoscopic simulation model for detecting the most suited fire plan for a complex road intersection, using a discrete event simulation tool and an evolutionary algorithm optimization. The modeling goal is to eliminate congestion by choosing an appropriate fire plan which will be adapted to the actual configuration of the intersection, as well as to a future reconfiguration meant to accept a higher inflow of vehicles. The proposed model is applied to a down-town crossroads from Nancy, France. Four different configurations of the input data flow were studied under the proposed simulation-optimization approach, and an optimal fire plan is proposed.

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http://hdl.handle.net/10453/164850