Coupling multiagent simulation and GIS - An application in waste management

Karadimas, NV; Rigopoulos, G; Bardis, N

dc.contributor.author	Karadimas, NV	en
dc.contributor.author	Rigopoulos, G	en
dc.contributor.author	Bardis, N	en
dc.date.accessioned	2014-03-01T01:55:22Z
dc.date.available	2014-03-01T01:55:22Z
dc.date.issued	2006	en
dc.identifier.issn	11092777	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27703
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-33746878784&partnerID=40&md5=bba45a421fc59bd175bb986e4f11b995	en
dc.subject	GIS	en
dc.subject	Multiagent simulations	en
dc.subject	Waste management	en
dc.subject.other	Decision support systems	en
dc.subject.other	Geographic information systems	en
dc.subject.other	Multi agent systems	en
dc.subject.other	Waste management	en
dc.subject.other	Multiagent simulation	en
dc.subject.other	Urban solid waste management	en
dc.subject.other	Systems engineering	en
dc.title	Coupling multiagent simulation and GIS - An application in waste management	en
heal.type	journalArticle	en
heal.publicationDate	2006	en
heal.abstract	Urban solid waste management is one of the most demanding issues of today's urban areas, requiring large investments for efficient daily collection. Decision makers in the field face many complex decisions varying from solid waste collection to strategy development for the entire urban solid waste management process. Although several researchers have proposed algorithmic solutions and optimization techniques, not a single approach can handle all the variations. We propose a model for dealing with the complexity of the field based on integration of GIS data and multiagent simulation into an intelligent decision support system. This paper demonstrates the model and our initial work towards developing the system. In general, the collection process is abstracted to an agent model, simulation scenarios are executed and results are validated against field data. Our approach provides substantial benefits for the decision makers in the field, enabling them to experiment with possible scenarios and optimize their decisions.	en
heal.journalName	WSEAS Transactions on Systems	en
dc.identifier.volume	5	en
dc.identifier.issue	10	en
dc.identifier.spage	2367	en
dc.identifier.epage	2371	en