Título:
|
Approximate dynamic programming for automated vacuum waste collection systems
|
Autor/a:
|
Fernàndez Camon, César; Manyà Serres, Felip; Mateu Piñol, Carles; Solé Mauri, Francina
|
Notas:
|
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. |
Materia(s):
|
-Urban waste -Optimization -machine learning -AVWCS (Automated Vacuum Waste Collection) -Smart cities -Residus -Waste products |
Derechos:
|
(c) Elsevier, 2015
info:eu-repo/semantics/restrictedAccess |
Tipo de documento:
|
Artículo publishedVersion |
Editor:
|
Elsevier
|
Compartir:
|
|