Vol. 15 No. 2 (2025): IJCRT, Volume 15, Issue 2, 2025
Articles

Road Accident Analysis Using Power BI

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  • Niharika Singh,
  • Nishant Gaikwad
Niharika Singh
Assistant Professor, Department of Master of Business Administration, JD Engineering College, Fetri, Nagpur, Maharashtra, India
Nishant Gaikwad
P.G. Student, Department of Master of Business Administration, JD Engineering College, Fetri, Nagpur, Maharashtra, India.
DOI: https://doi.org/10.5281/zenodo.15239622

Published 2025-04-18

Keywords

  • Road Accident,
  • Power BI,
  • Analyzing Patterns,
  • Traffic Data

How to Cite

Niharika Singh, & Nishant Gaikwad. (2025). Road Accident Analysis Using Power BI. IJCRT Research Journal | UGC Approved and UGC Care Journal | Scopus Indexed Journal Norms, 15(2), 50539–50541. https://doi.org/10.5281/zenodo.15239622

Copyright (c) 2025 IJCRT Research Journal | UGC Approved and UGC Care Journal | Scopus Indexed Journal Norms

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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.

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