Road Accident Analysis Using Power BI
Year: 2025
Type: article
Abstract: Road traffic accidents remain one of the leading causes of death and injury worldwide. Understanding the factors that contribute to these accidents, analyzing patterns, and predicting accident severity are crucial in designing effective safety measures. This research explores various aspects of road accident analysis, including identifying contributing factors, predicting accident severity, and recommending improvements for road safety. Using machine learning models, traffic accident data is analyzed to uncover key insights. This paper presents a systematic analysis of road accident data, emphasizing the role of human factors, environmental conditions, vehicle characteristics, and road infrastructure in accident causation. Predictive models are developed to assess accident severity, and recommendations for safety measures are provided.
Authors: Niharika Singh, Nishant Gaikwad
Language: English
Topic: Traffic and Road Safety
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W6893280394
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