BIN-CT: Urban Waste Collection based in Predicting the Container Fill Level

07/03/2018
by   Javier Ferrer, et al.
0

The fast demographic growth, together with the concentration of the population in cities and the increasing amount of daily waste, are factors that push to the limit the ability of waste assimilation by Nature. Therefore, we need technological means to make an optimal management of the waste collection process, which represents 70 this article, we present a free intelligent software system, based on computational learning algorithms, which plans the best routes for waste collection supported by past (historical) and future (predictions) data. The objective of the system is the cost reduction of the waste collection service by means of the minimization in distance traveled by any truck to collect a container, hence the fuel consumption. At the same time the quality of service to the citizen is increased avoiding the annoying overflows of containers thanks to the accurate fill level predictions performed by BIN-CT. In this article we show the features of our software system, illustrating it operation with a real case study of a Spanish city. We conclude that the use of BIN-CT avoids unnecessary visits to containers, reduces the distance traveled to collect a container and therefore we obtain a reduction of total costs and harmful emissions thrown to the atmosphere.

READ FULL TEXT

page 2

page 7

research
11/19/2020

SOCAIRE: Forecasting and Monitoring Urban Air Quality in Madrid

Air quality has become one of the main issues in public health and urban...
research
11/10/2017

Multi-agent based IoT smart waste monitoring and collection architecture

Solid waste management is one of the existing challenges in urban areas ...
research
04/25/2023

PopSim: An Individual-level Population Simulator for Equitable Allocation of City Resources

Historical systematic exclusionary tactics based on race have forced peo...
research
10/08/2022

Variability Analysis of Isolated Intersections Through Case Study

Population and economic growth of urban areas have led to intensive use ...
research
06/25/2019

Soft computing methods for multiobjective location of garbage accumulation points in smart cities

This article describes the application of soft computing methods for sol...
research
11/03/2022

Crime Prediction using Machine Learning with a Novel Crime Dataset

Crime is an unlawful act that carries legal repercussions. Bangladesh ha...

Please sign up or login with your details

Forgot password? Click here to reset