Análise de acidentes na rodovia Castello Branco (SP-280) em Itu (SP) com abordagem segundo o programa “PARE”

• Autor(a) principal: Silva, Júlia Helena Dutra Rodrigues
• Data de Publicação: 2023
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFSCAR
• Texto Completo: https://repositorio.ufscar.br/handle/ufscar/18708
• topic: Acidentes de trânsito; Rodovias; Segurança viária; Trechos críticos; Programa PARE; ENGENHARIAS::ENGENHARIA DE TRANSPORTES::OPERACOES DE TRANSPORTES; ENGENHARIAS::ENGENHARIA DE TRANSPORTES::PLANEJAMENTO DE TRANSPORTES

The analysis of accidents on highways is of great importance for understanding their origins and for the development of road safety. Accidents can occur in specific sections of a road due to various factors, such as engineering design flaws, failures in traffic rule enforcement, and reckless driving. Therefore, the information gathered in these analyses, such as the primary causes, sections with the highest accident rates, and the most common types, allows for proposing effective measures to mitigate their occurrence. Considering the significance of road safety, numerous programs aim to reduce the impact of traffic accidents through the analysis of various influencing factors on accident numbers and severity, followed by the implementation of corrective and preventive measures in the studied segment. Thus, this study proposes an analysis of traffic accidents on a section of the SP-280 highway located in Itu, São Paulo, through the PARE program (Program for Accident Reduction), to determine the most critical sections of that location. A comparison was conducted between a method that determines segment criticality based on victim status weighting and another method that, in addition to weighting, considers traffic volume in the segment. It becomes evident that while there is no alteration in the final result of the most and least critical segments, there is a fluctuation in the level of criticality for other segments, depending on the method used, as the severity rate method incorporates data on the average traffic volume and segment length.