Paper Type
Complete
Abstract
This work aims to create analyses and models from open public data made available by the Brazilian Federal Highway Police Department (DPRF) for public health intelligence and to develop an analytical dashboard for monitoring data and formulating hypotheses. One of the targets of the Sustainable Development Goals for Health and Well-being (SDG 3) is to “halve global deaths and injuries from road accidents by 2030”. Although fatal accidents have decreased from 2010 to 2020 and have been increasing since then, Brazil is the third largest country in deaths from traffic accidents, which makes the problem a public health issue. The results show that the main causes of fatalities are human error (illegal overtaking) in poor road conditions (single lane, rural area) or peak times (weekends and nighttime).
Paper Number
1337
AI Translated Summary
In Brazil, traffic accidents are a major concern, causing numerous deaths and injuries. Researchers have used data from the Brazilian Federal Highway Police to understand these accidents better and find ways to reduce them. Their study aims to support the United Nations' goal of cutting road deaths and injuries by half by 2030. The research highlights that human errors, like speeding and illegal overtaking, are leading causes of fatal accidents. Poor road conditions, especially on single-lane roads in rural areas, and high traffic during weekends and nighttime also contribute significantly. Despite a decrease in accidents from 2010 to 2020, fatalities have been rising again, making road safety a pressing issue. To tackle this, the study developed a dashboard using public data to monitor and analyze traffic patterns. This tool helps identify risk factors and supports data-driven decisions for improving road safety. The study also explored the use of machine learning to predict accident severity, finding that certain models can effectively identify key factors leading to fatalities. Overall, the research underscores the importance of addressing traffic accidents through better public policies and driver awareness. It also highlights the potential of technology and data analysis in creating safer roads and reducing the economic burden of accidents. By focusing on these areas, Brazil can make significant strides toward improving road safety and achieving global health goals.
Recommended Citation
Mantovani, Daielly; da Silva Cardoso, Douglas; and Leal, Guilherme Arevalo, "Redução de acidentes de trânsito e óbitos no Brasil: abordagem data-driven" (2025). AMCIS 2025 Proceedings. 5.
https://aisel.aisnet.org/amcis2025/lacais/lacais/5
Redução de acidentes de trânsito e óbitos no Brasil: abordagem data-driven
This work aims to create analyses and models from open public data made available by the Brazilian Federal Highway Police Department (DPRF) for public health intelligence and to develop an analytical dashboard for monitoring data and formulating hypotheses. One of the targets of the Sustainable Development Goals for Health and Well-being (SDG 3) is to “halve global deaths and injuries from road accidents by 2030”. Although fatal accidents have decreased from 2010 to 2020 and have been increasing since then, Brazil is the third largest country in deaths from traffic accidents, which makes the problem a public health issue. The results show that the main causes of fatalities are human error (illegal overtaking) in poor road conditions (single lane, rural area) or peak times (weekends and nighttime).
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