Avaliação das Condições de Superfície do Pavimento Flexível da Avenida Costa e Silva - Campo Grande/MS - Estudo de Caso

Abstract

Urban road infrastructure plays an essential role in the quality of cities, directly influencing safety, mobility, and economic development. Flexible pavement, as the most widely used pavement type on Brazilian urban roads, is susceptible to premature deterioration due to heavy traffic, climatic conditions, and insufficient preventive maintenance. In this context, the identification and classification of pavement defects using standardized methods constitute a fundamental step in supporting maintenance decision-making by public authorities. This study aimed to evaluate the surface condition of the flexible pavement along a section of Costa e Silva Avenue, in Campo Grande, Mato Grosso do Sul, Brazil, through the Continuous Visual Survey (CVS) using Video Recording. The study section was divided into four 1-km segments, where the survey was conducted using GoPro cameras mounted on a vehicle. Subsequent video analysis enabled the identification and quantification of the pavement distresses present in each segment, allowing the determination of the ICPF, IGGE, and IES indices. A total of 2,068 defects were identified, with patches being the predominant distress, accounting for 1,316 occurrences. All segments were assigned an ICPF value of zero and IGGE values exceeding 300, resulting in an IES classification of "Very Poor." The results indicate an advanced stage of pavement surface deterioration, likely compromising the underlying structural layers.