Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/6377
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dc.contributor.authorGomes Correia,Aen
dc.contributor.authorManuel Afonso Parenteen
dc.contributor.authorCortez,Pen
dc.date.accessioned2018-01-16T15:11:47Z-
dc.date.available2018-01-16T15:11:47Z-
dc.date.issued2015en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/6377-
dc.identifier.urihttp://dx.doi.org/10.3233/978-1-61499-599-9-121en
dc.description.abstractIn highway construction, earthworks refer to the tasks of excavation, transportation, spreading and compaction of geomaterial (e.g. soil, rockfill and soil-rockfill mixture). Whereas relying heavily on machinery and repetitive processes, these tasks are highly susceptible to optimization. In this context Artificial Intelligent techniques, such as Data Mining and modern optimization can be applied for earthworks. A survey of these applications shows that they focus on the optimization of specific objectives and/or construction phases being possible to identify the capabilities and limitations of the analyzed techniques. Thus, according to the pinpointed drawbacks of these techniques, this paper describes a novel intelligent earthwork optimization system, capable of integrating DM, modern optimization and GIS technologies in order to optimize the earthwork processes throughout all phases of design and construction work. This integration system allows significant savings in time, cost and gas emissions contributing for a more sustainable construction.en
dc.languageengen
dc.relation7032en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.titleEarthwork optimization system for sustainable highway constructionen
dc.typeconferenceObjecten
dc.typePublicationen
Appears in Collections:Non INESC TEC publications - Articles in International Conferences

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