DC FieldValueLanguage
dc.contributor.authorAnagnostopoulos, Theodoros-
dc.contributor.authorGeorgiou, Stefanos-
dc.contributor.authorKhoruzhnicov, Sergey-
dc.contributor.authorZaslavsky, Arkady-
dc.date.accessioned2024-07-09T12:23:31Z-
dc.date.available2024-07-09T12:23:31Z-
dc.date.issued2015-08-01-
dc.identifierscopus-84948952895-
dc.identifier.isbn9783319231259-
dc.identifier.isbn9783319231259-
dc.identifier.issn1611-3349-
dc.identifier.issn0302-9743-
dc.identifier.other84948952895-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2696-
dc.description.abstractInternet of Things (IoT) enables Smart Cities with novel services. Waste collection in Smart Cities becomes a dynamic process with the proliferation of sensors and actuators embedded on real waste bins. Heterogeneous fleets of trucks are used for efficient waste collection exploiting the diverse road network. In this paper we propose a novel approach by incorporating Low Capacity Trucks (LCTs) and High Capacity Trucks (HCTs). However, HCTs are serving as Mobile Depots (MDs) which are cost efficient and decongest traffic in Smart Cities. A detailed system overview illustrates the architecture of the proposed approach. We also propose novel algorithms which support dynamic waste collection with MDs. Scheduling and routing are transformed to dynamic models. Specifically, we propose a novel scheduling algorithm while we customize an existing routing algorithm. The models where experimentally evaluated with real and synthetic data from the city of St. Petersburg, Russia. The results were promising and proved that the incorporation of MDs is efficient for waste collection in IoT-enabled Smart Cities. Finally, we perform an economic analysis in order to define the economic impact of the proposed solution to the municipality budget for an ownership cost for a period of five years; in which the proposed solution proved to be cost efficient.en_US
dc.language.isoenen_US
dc.relation.ispartofInternet of Things, Smart Spaces, and Next Generation Networks and Systems: Proceedings of the 15th International Conference, NEW2AN 2015, and 8th Conference, ruSMART 2015en_US
dc.relation.ispartofseriesLecture Notes in Computer Scienceen_US
dc.subjectDynamic modelsen_US
dc.subjectInternet of thingsen_US
dc.subjectMobile depotsen_US
dc.subjectSmart citiesen_US
dc.subjectWaste collectionen_US
dc.titleHigh capacity trucks serving as mobile depots for waste collection in iot-enabled smart citiesen_US
dc.typeConference Paperen_US
dc.relation.conference15th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2015, the 8th Conference on Internet of Things and Smart Spaces, ruSMART 2015, 26-28 August 2015, St. Petersburg, Russiaen_US
dc.identifier.doi10.1007/978-3-319-23126-6_8en_US
dc.identifier.scopus2-s2.0-84948952895-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage80en_US
dc.identifier.epage94en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-5587-2848-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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