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CISTI'2020 - 15th Iberian Conference on Information Systems and Technologies

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Using Machine Learning for Road Maintenance Cost Estimates in Brazil: a case study in the Federal District

This paper presents the application of Machine Learning algorithms, such as artificial neural network and k-means as an alternative for estimating the services required for the highway conservation services in Brazil, based on data related to the highways of the Federal District. A database was created containing data on routine maintenance history, road catalogue of road solutions and price lists. Next, the algorithms were applied and evaluated. It was found that the K-means algorithm was better suited to the problem.

Ricardo Gaussmann
UNIVALI
Brazil

Dennis Kerr Coelho
UNIVALI
Brazil

Anita Fernandes
UNIVALI
Portugal

Paul Crocker
Instituto de Telecomunicações - IT
Portugal

Valderi Leithardt
Departamento de Informática Universidade da Beira
Portugal

 


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