A incorporação de dados meteorológicos em pesquisas envolvendo o estudo de acidentes é considerada como essencial quando se objetiva analisar o comportamento de acidentes rodoviários. Neste contexto, o presente trabalho pretendeu explorar a existência de correlação entre ocorrência de acidentes rodoviários e condições climáticas, em específico a precipitação diária, num trecho selecionado da Rodovia BR- 376 (Paraná, Brasil). Uma análise de correspondência múltipla (ACM) foi aplicada (software Statigraphics) para determinar a relação existente entre as características dos acidentes e a precipitação. A ACM permitiu a criação de um mapa perceptual, agrupando as variáveis consideradas semelhantes de acordo com o método, o qual evidenciou que a intensidade da chuva não foi um fator significativo para alterar as características dos acidentes. Entretanto, a ocorrência de precipitação mostrou-se como uma circunstância condicionante. Com respeito à segurança da rodovia, a pesquisa indica aplicações práticas que podem ser aplicadas pelas agências de tráfego, como a implementação de sinalização de tráfego e educacional em pontos específicos da rodovia.
The monitoring of slopes and geotechnical structures is fundamental for guaranteeing safety and improving the knowledge of soil behavior. This study evaluated the use of a platform for integrated monitoring data management applied to an instrumented slope. The slope, known as “Morro do Boi”, is located in BR-101 highway, in Santa Catarina state, Brazil. The instrumentation was installed in 2012 during the execution of a stabilization system designed to contain an unstable soil mass, and allows the verification of positive and negative pore pressure, deformations of the soil mass and the precipitation. In addition, the structure, composed by passive anchors and flexible metal mesh, is monitored with crackmeters, strain gages and load cells. Until May 2018, the historical data comprising 6 years of monitoring was automatically registered by a datalogger hourly, with manual download. On June 2018, the remote dispatch of the data was implemented and the management of this information is done through a web-based platform. This tool has been extremely useful for the ease of visualization, data management and logistical efficiency, allowing the creation of a rapid alert system in cases of variation of some parameters that could trigger landslide.
Recent studies analyze the influence of rainfall on traffic crashes, indicating that precipitation intensity is an important factor, for modeling crashes occurrence. This research presents a relationship between daily-basis traffic crashes and precipitation, from 2014 to 2018, in a rural mountainous Brazilian Highway (BR-376/PR), where field rain gauges were used to obtain precipitation data. Data modeling considered a Negative Binomial regression for precipitation influence in crash frequency. Separate regression models were estimated to account for the rainfall effect in different seasons, and for different vehicle types. All models analyzed presented a positive relationship between daily rainfall intensity and daily crashes number. This can indicate that generally rainfall presence is a hazardous factor. Different critical seasons for rainfall influence were also highlighted, alerting for the possible necessity of distinct road safety policies concerning seasonality. Finally, for the vehicle type analysis, typically, rainfall seemed to have a greater effect in lighter vehicles. Moreover, results are useful for traffic control, in order to increase safety conditions.
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