The crew-scheduling module in the GIST system

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Industrial Applications of Operations Research, L. Valadares Tavares i C. Henggeler Antunes (eds.), McGraw-Hill, pp.168-184, 2000
http://hdl.handle.net/10230/452
To cite or link this document: http://hdl.handle.net/10230/452
dc.contributor.author Ramalhinho-Lourenço, Helena
dc.contributor.other Universitat Pompeu Fabra. Departament d'Economia i Empresa
dc.date.issued 2001-05-01
dc.identifier.citation Industrial Applications of Operations Research, L. Valadares Tavares i C. Henggeler Antunes (eds.), McGraw-Hill, pp.168-184, 2000
dc.identifier.uri http://hdl.handle.net/10230/452
dc.description.abstract The public transportation is gaining importance every year basically due the population growth, environmental policies and, route and street congestion. Too able an efficient management of all the resources related to public transportation, several techniques from different areas are being applied and several projects in Transportation Planning Systems, in different countries, are being developed. In this work, we present the GIST Planning Transportation Systems, a Portuguese project involving two universities and six public transportation companies. We describe in detail one of the most relevant modules of this project, the crew-scheduling module. The crew-scheduling module is based on the application of meta-heuristics, in particular GRASP, tabu search and genetic algorithm to solve the bus-driver-scheduling problem. The metaheuristics have been successfully incorporated in the GIST Planning Transportation Systems and are actually used by several companies.
dc.language.iso eng
dc.relation.ispartofseries Economics and Business Working Papers Series; 547
dc.rights L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.title The crew-scheduling module in the GIST system
dc.title.alternative Geraçao de Serviços de Motoristas através de Metaheurística-Sistema GIST
dc.type info:eu-repo/semantics/workingPaper
dc.date.modified 2014-06-03T07:14:05Z
dc.subject.keyword Operations Management
dc.subject.keyword integrated transportation systems
dc.subject.keyword crew scheduling
dc.subject.keyword metaheuristics
dc.rights.accessRights info:eu-repo/semantics/openAccess


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