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http://hdl.handle.net/10261/130240
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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Fernández, César | - |
dc.contributor.author | Manyà, Felip | - |
dc.contributor.author | Mateu, Carles | - |
dc.contributor.author | Sole-Mauri, Francina | - |
dc.date.accessioned | 2016-03-17T16:57:54Z | - |
dc.date.available | 2016-03-17T16:57:54Z | - |
dc.date.issued | 2015 | - |
dc.identifier | doi: 10.1016/j.envsoft.2015.01.013 | - |
dc.identifier | issn: 1364-8152 | - |
dc.identifier.citation | Environmental Modelling and Software 67: 128- 137 (2015) | - |
dc.identifier.uri | http://hdl.handle.net/10261/130240 | - |
dc.description.abstract | The collection and treatment of waste poses a major challenge to modern urban planning, particularly to smart cities. To cope with this problem, a cost-effective alternative to conventional methods is the use of Automated Vacuum Waste Collection (AVWC) systems, using air suction on a closed network of underground pipes to transport waste from the drop off points scattered throughout the city to a central collection point. This paper describes and empirically evaluates a novel approach to defining daily operation plans for AVWC systems to improve quality of service, and reduce energy consumption, which represents about 60% of the total operation cost. We model a daily AVWC operation as a Markov decision process, and use Approximate Dynamic Programming techniques (ADP) to obtain optimal operation plans. The experiments, comparing our approach with the current approach implemented in some real-world AVWC systems, show that ADP techniques significantly improve the quality of AVWC operation plans. © 2015 Elsevier Ltd. | - |
dc.description.sponsorship | This work has been partially funded by the Generalitat de Catalunya under grant AGAUR 2009-SGR-1434, and the Ministerio de Economía y Competividad research projects CO-PRIVACY (TIN2011-27076-C03-03), ARINF (TIN2009-14704-C03-01/03), TASSAT (TIN2010-20967-C04-01/03), and Newmatica (IPT-2011-1496-310000) from program INNPACTO (funded by the Ministerio de Ciencia y Tecnología until 2011) | - |
dc.publisher | Elsevier | - |
dc.rights | closedAccess | - |
dc.subject | Markov processes | - |
dc.subject | Smart cities | - |
dc.subject | Cost effectiveness | - |
dc.subject | Automated Vacuum Waste Collection (AVWC) | - |
dc.subject | Optimization | - |
dc.subject | Quality of service | - |
dc.subject | Waste treatment | - |
dc.subject | Urban wastes | - |
dc.subject | Energy utilization | - |
dc.title | Approximate dynamic programming for automated vacuum waste collection systems | - |
dc.type | artículo | - |
dc.identifier.doi | 10.1016/j.envsoft.2015.01.013 | - |
dc.date.updated | 2016-03-17T16:57:54Z | - |
dc.description.version | Peer Reviewed | - |
dc.language.rfc3066 | eng | - |
dc.contributor.funder | Generalitat de Catalunya | - |
dc.contributor.funder | Ministerio de Economía y Competitividad (España) | - |
dc.contributor.funder | Ministerio de Ciencia y Tecnología (España) | - |
dc.relation.csic | Sí | - |
dc.identifier.funder | http://dx.doi.org/10.13039/501100002809 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100003329 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100006280 | es_ES |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | es_ES |
item.openairetype | artículo | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | No Fulltext | - |
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