Estimated Maintenance Costs of Brazilian Highways Using Machine Learning Algorithms

Ricardo Gaussmann; Dennis Coelho; Anita Fernandes; Paul Crocker; Valderi R. Q. Leithardt

doi:10.29333/jisem/8427

Estimated Maintenance Costs of Brazilian Highways Using Machine Learning Algorithms

Ricardo Gaussmann ¹ ^* , Dennis Coelho ¹, Anita Fernandes ¹ ², Paul Crocker ³ ⁴, Valderi R. Q. Leithardt ² ⁴ ⁵

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¹ University of the Itajai Valley, Specialization Course in Big Data, Santa Catarina, BRAZIL
² University of the Itajaí Valley, Master in Applied Computing, Santa Catarina, BRAZIL
³ Telecommunications Institute, IT Branch, Covilha, PORTUGAL
⁴ Department of Informatics, University of Beira Interior, Covilha, PORTUGAL
⁵ COPELABS, Lusophone University of Humanities and Technologies, Lisboa, PORTUGAL
^* Corresponding Author

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Research Article

Journal of Information Systems Engineering and Management, 2020 - Volume 5 Issue 3, Article No: em0119
https://doi.org/10.29333/jisem/8427

Published Online: 30 Jul 2020

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APA 6th edition

In-text citation: (Gaussmann et al., 2020)
Reference: Gaussmann, R., Coelho, D., Fernandes, A., Crocker, P., & Leithardt, V. R. Q. (2020). Estimated Maintenance Costs of Brazilian Highways Using Machine Learning Algorithms. Journal of Information Systems Engineering and Management, 5(3), em0119. https://doi.org/10.29333/jisem/8427

Vancouver

In-text citation: (1), (2), (3), etc.
Reference: Gaussmann R, Coelho D, Fernandes A, Crocker P, Leithardt VRQ. Estimated Maintenance Costs of Brazilian Highways Using Machine Learning Algorithms. J INFORM SYSTEMS ENG. 2020;5(3):em0119. https://doi.org/10.29333/jisem/8427

AMA 10th edition

In-text citation: (1), (2), (3), etc.
Reference: Gaussmann R, Coelho D, Fernandes A, Crocker P, Leithardt VRQ. Estimated Maintenance Costs of Brazilian Highways Using Machine Learning Algorithms. J INFORM SYSTEMS ENG. 2020;5(3), em0119. https://doi.org/10.29333/jisem/8427

Chicago

In-text citation: (Gaussmann et al., 2020)
Reference: Gaussmann, Ricardo, Dennis Coelho, Anita Fernandes, Paul Crocker, and Valderi R. Q. Leithardt. "Estimated Maintenance Costs of Brazilian Highways Using Machine Learning Algorithms". Journal of Information Systems Engineering and Management 2020 5 no. 3 (2020): em0119. https://doi.org/10.29333/jisem/8427

Harvard

In-text citation: (Gaussmann et al., 2020)
Reference: Gaussmann, R., Coelho, D., Fernandes, A., Crocker, P., and Leithardt, V. R. Q. (2020). Estimated Maintenance Costs of Brazilian Highways Using Machine Learning Algorithms. Journal of Information Systems Engineering and Management, 5(3), em0119. https://doi.org/10.29333/jisem/8427

MLA

In-text citation: (Gaussmann et al., 2020)
Reference: Gaussmann, Ricardo et al. "Estimated Maintenance Costs of Brazilian Highways Using Machine Learning Algorithms". Journal of Information Systems Engineering and Management, vol. 5, no. 3, 2020, em0119. https://doi.org/10.29333/jisem/8427

ABSTRACT

The road infrastructure is considered to be a key prerequisite of social and economic development of any country and therefore solutions that assist in the management and maintenance of this key infrastructure are important. This paper presents the application of Machine Learning algorithms, such as Multilayer Perceptron Neural Network and K-means for estimating the level of services required for highway conservation in Brazil. The data used is from the Federal District highways, recorded in the form of Service Orders in the Road Administration System, as well as the road solutions catalog elaborated from the price table of the Federal District Roads Department. A database was created containing data for routine maintenance history, road solutions catalog and price lists. The machine learning algorithms were applied and evaluated, and it was concluded that the K-means algorithm had the best performance for estimating the maintenance costs of Brazilian highways.

KEYWORDS

k-means multilayer perceptron machine learning road maintenance costs

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