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2021•Unpublished venueRequires access

Intelligent household waste collection

Martin Aleksandrov

Open publisher page 2 citations

Abstract

We consider a model for intelligent household waste collection that is driven by real-time data about the levels of waste in garbage containers. By using such data, we first study deciding which garbage containers can be scheduled for waste collections. We then minimise the number of garbage trucks that could be assigned to locations of containers that are scheduled for waste collections. Finally, we analyse fair allocations of waste costs to households.

About this research paper

What this paper is about

We consider a model for intelligent household waste collection that is driven by real-time data about the levels of waste in garbage containers. By using such data, we first study deciding which garbage containers can be scheduled for waste collections. We then minimise the number of garbage trucks that could be assigned to locations of containers that are scheduled for waste collections. Finally, we analyse fair allocations of waste costs to households.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available abstract

We consider a model for intelligent household waste collection that is driven by real-time data about the levels of waste in garbage containers. By using such data, we first study deciding which garbage containers can be scheduled for waste collections. We then minimise the number of garbage trucks that could be assigned to locations of containers that are scheduled for waste collections. Finally, we analyse fair allocations of waste costs to households.

Key concepts: Garbage, Truck, Garbage collection, Household waste, Waste collection, Waste management, Computer science, Data collection

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