WSEAS Transactions on Environment and Development

Print ISSN: 1790-5079
E-ISSN: 2224-3496

Volume 13, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

Volume 13, 2017

On the Optimization of Collaborative KerbsideWaste Collection

AUTHORS: Alessandro Pellegrini, Pierangelo Di Sanzo

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ABSTRACT: In this paper, we target collaborative kerbside collection from a planning and real-time monitoring point of view. This is a non-trivial problem, where several vehicles are set on streets to finish a task—the collection of all waste—by a certain maximum amount of time. While deciding upon a collaborative strategy is a well-studied and complex problem by itself, we focus as well on re-planning, whenever live data collected by the vehicles suggest that the current scenario has deviated from the provisional plan, due to changes in external environmental factors. To this end, we propose a global mission-management architecture, which tries to optimize at once the time required to finish the waste collection, the distance traveled by the vehicles, the amount of fuel burnt (accounting as well for idle time at collection points), and the impact of pollutants emissions.

KEYWORDS: Kerbside Collection, Optimization, Re-Routing, Real-Time, Deep Learning, Scheduling


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WSEAS Transactions on Environment and Development, ISSN / E-ISSN: 1790-5079 / 2224-3496, Volume 13, 2017, Art. #9, pp. 66-74

Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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