Municipal waste collection of large items optimized with arc gis Network Analyst

Karadimas, NV; Kolokathi, M; Defteraiou, G; Loumos, V

dc.contributor.author	Karadimas, NV	en
dc.contributor.author	Kolokathi, M	en
dc.contributor.author	Defteraiou, G	en
dc.contributor.author	Loumos, V	en
dc.date.accessioned	2014-03-01T02:51:08Z
dc.date.available	2014-03-01T02:51:08Z
dc.date.issued	2007	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35387
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84857558527&partnerID=40&md5=1e0b2abcfa6f9f223bcca9fe739c15b6	en
dc.subject	ArcGis	en
dc.subject	Geographical information system	en
dc.subject	Large items	en
dc.subject	Optimization	en
dc.subject	Simulation	en
dc.subject	Solid waste	en
dc.subject	Waste collection	en
dc.subject.other	ArcGis	en
dc.subject.other	Geographical Information System	en
dc.subject.other	Large items	en
dc.subject.other	Simulation	en
dc.subject.other	Waste collection	en
dc.subject.other	Accidents	en
dc.subject.other	Automobiles	en
dc.subject.other	Geographic information systems	en
dc.subject.other	Optimization	en
dc.subject.other	Solid wastes	en
dc.title	Municipal waste collection of large items optimized with arc gis Network Analyst	en
heal.type	conferenceItem	en
heal.publicationDate	2007	en
heal.abstract	In the present paper the ArcGIS Network Analyst Algorithm is introduced for best routing identification applied in municipal waste collection of large items. The proposed application takes into account all the required parameters for the waste collection of large items so as its desktop users to be able to model realistic network conditions and scenarios. In this case, the simulation consists of scenarios of visiting loading spots in the municipality of Athens, in order to collect large items that couldn't be collected by the standard waste collection trucks, due to size and other prohibitive obstacles. The Network Analyst is used to estimate interrelations between the dynamic factors, like network traffic changes (closed roads due to natural or technical causes, for example, fallen trees, car accidents, etc) in the area under study and to produce optimized solutions. The user is able to define or modify all the required dynamic factors for the creation of an initial scenario, and by modifying these particular parameters, alternative scenarios can be generated leading to several solutions. Finally, the optimal solution is identified by a function that takes into consideration various parameters, for example the shortest distance, road network as well as social and environmental implications. © 2007 ECMS.	en
heal.journalName	21st European Conference on Modelling and Simulation: Simulations in United Europe, ECMS 2007	en
dc.identifier.spage	80	en
dc.identifier.epage	85	en