Desenvolvimento de ferramentas computacionais de apoio à avaliação da irregularidade longitudinal de pavimentos

Abstract

In recent years, several researchers in the pavement management field have been investigating the use of smartphones for pavement evaluation. This is because smartphones are affordable devices that can provide real-time data on pavement conditions through the sensors installed in these devices, such as the accelerometer and Global Positioning System (GPS). The evaluation of longitudinal roughness is one of the most important aspects of pavement management as it is directly related to Vehicle Operating Cost (VOC) and user comfort and safety. It is important to evaluate roughness frequently to enable the implementation of cost-effective preventive maintenance services. Therefore, the objective of this work is to develop a web system, an API and a mobile application for the processing and management of data related to longitudinal pavement roughness. The systems were developed using the Scrum method, also web and mobile application development technologies, such as the FastAPI framework, React, and React Native libraries. The web system provides functionalities such as data filtering, signal frequency analysis, division of captured sections into arbitrary intervals, statistical data analysis including analysis of variance (ANOVA) and linear regression model, data export, creation of classification intervals and visualization of results on a map. It can be concluded that the tools developed in this research can contribute to the processing and analysis of data useful for evaluating longitudinal roughness, aiding related studies and research. In addition to facilitating data processing, analysis, and visualization, these tools can play a fundamental role in understanding longitudinal roughness data and advancing knowledge in this field. Their use can pave the way for more comprehensive investigations, driving the development of effective solutions to deal with longitudinal roughness and improve the quality and safety of road infrastructures.