Aplicação de métodos de previsão de desempenho para estimativa da variação da irregularidade longitudinal do pavimento – estudo de caso na rodovia RSC-377

Abstract

Road infrastructure has a direct influence on regional economic development, as it plays a fundamental role in the transport of goods, with special emphasis on agricultural flow, in addition to passenger transport and integration with other regions of the country. To this end, the Pavement Management System (PMS) is vitally important for ensuring the quality of all components of the road system. Performance prediction models are developed with the main objective of obtaining an estimate regarding the variation in pavement conditions, whether functional or structural, based on the assessment of the factors that cause this variation. The adoption of these models allows managers to gain knowledge about the condition of a given section of pavement, allowing the selection of priority sections and allocation of resources in a more rational way.However, models that are representative of local particularities must be adopted to allow correct inference about pavement conditions. In this sense, this research aims to apply different performance prediction models for sections of the RSC-377 highway, based on publicly available data such as average daily volume and longitudinal roughness. Four performance prediction methods available in Brazilian literature were selected, two of which were assessed using the International Roughness Index (IRI) and the other two were assessed using the Irregularity Quotient (IQ). As a result, we seek to contribute to the understanding of the pavement degradation process due to longitudinal roughness and apply theoretical knowledge about predicting pavement performance to the selected highway sections. Keywords: Pavement management. Performance prediction models. International Roughness Index.