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

Gaussmann, R. G ; Coelho, D.C ; Fernandes, AF ; Crocker, P. ; Leithardt, V. L.

Using Machine Learning for Road Maintenance Cost Estimates in Brazil: a case study in the Federal District , Proc CISTI - Conferência Ibérica de Sistemas e Tecnologias da Informação, Sevilla, Spain, Vol. , pp. - , June, 2020.

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