An Innovative Algorithmic Approach for Urban Solid Waste Collection

Nikolaos V. Karadimas, George Kouzas, Vassili Loumos, Elefterios Kayafas

Abstract

In the present paper, a new framework for urban solid waste collection and transfer is proposed. It consists of a geo-referenced Spatial Database, integrated in a Geographic Information System (GIS) and includes all the parameters required for solid waste management. These parameters involve point sources (loading spots) of waste collection, road network, and related traffic data. Moreover, dynamic data for population density, commercial traffic, time schedule of labour workers, transportation facilities and their technical characteristics are considered. In addition, an innovative methodology for the solid waste collection and transport is introduced, based on the Ant Colony Optimization (ACO) Algorithm. The objective of the proposed system is to identify the most cost-effective alternative scenario for waste collection and transport, to estimate its running cost and to simulate its application.

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IMEKO-TC4-2005-048.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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