Análise de correlação entre a irregularidade longitudinal e o dados oriundos do LVC nas rodovias federais do Estado do Ceará

Abstract

Considering the Brazilian context in which the road modal is widely used, and the paved extension is reduced, managing the resources destined to the pavement proves to be important. This work aims to evaluate the functional condition of the federal highways in state Ceará identifying their problems and calculating a prediction model of the condition of the pavement for the highway in a worse situation. In state Ceará, most highways are in good condition, with the exception to the BR-122 that does not meet the criteria of good condition. With data from the BR-122 evaluation, a Global Severity Index (IGG) prediction model was calculated using Good Longitudinal Irregularity (IRI) data, with good correlation.