Estimated Maintenance Costs of Brazilian Highways Using Machine Learning Algorithms

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.

RoadLytics: Road Accidents Analytics Using Artificial Intelligence to Support Deaths’ Prevention on Highways

“…Fatal accidents are grouped by the season in which they occurred. Using heat maps 8 . Figure 9 shows the distribution of fatal accidents by the state for each season of the year.…”

“…However these datasets are voluminous and the analysis can be a human difficult task. In this case, mainly the visualization of correlations and implicit relationships between the variables involved can be performed using data mining techniques [7,8].…”

Development of Machine Learning Methods in Hybrid Energy Storage Systems in Electric Vehicles

“…Fuel usage, energy source diversification, and electric propulsion technologies are some of the measures increasingly adopted around the world to make vehicles cleaner and more efficient with the ultimate purpose of reducing greenhouse gas emissions and reaching a sustainable energy ecosystem [1][2][3]. Hybrid electric vehicles are expected to have significantly lower fuel consumption than conventional vehicles as well as substantially lower emissions [4][5][6]. It is essential to equip hybrid electric vehicles with advanced energy management systems to achieve these goals.…”