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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 9

Published on: September 2026

ROAD TRAFFIC ACCIDENT TRENDS, CONTRIBUTING FACTORS, AND PREDICTIVE ANALYTICS IN INDIA: A DATA-DRIVEN ANALYSIS (2021–2023)

Dr. Brijesh Mr. Prince Beri

Department of Civil Engineering, MERI College of Engineering and Technology,

46th Milestone, Rohtak Road, near Sampla, Bahadurgarh, Haryana, India – 124501
DOI:https://doi.org/10.55041/ijcope.v2i9.041

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Abstract

Road traffic crashes remain a major public-safety challenge in India, which records among the highest absolute crash and fatality counts of any country. This paper synthesises official crash statistics from India's Ministry of Road Transport and Highways (MoRTH) for 2021–2023 with recent peer-reviewed literature on machine-learning-based crash-severity prediction. National accidents rose from 412,432 (2021) to 480,583 (2023) and fatalities from 153,972 to 172,890. Overspeeding, non-use of helmets/seatbelts, and concentration of crashes on highways are the dominant factors; two-wheeler riders and pedestrians bear the largest fatality share. Recent ML/deep-learning models show measurable gains in severity-prediction accuracy, supporting more targeted interventions. Engineering, enforcement, and data-infrastructure recommendations are discussed.

Keywords: road traffic accidents; road safety; crash severity prediction; machine learning; India; MoRTH

How to Cite this Paper

Brijesh, & Beri, P. (2026). Road Traffic Accident Trends, Contributing Factors, and Predictive Analytics in India: A Data-Driven Analysis (2021–2023). International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(9), 1-9. https://doi.org/10.55041/ijcope.v2i9.041

Brijesh, , and Prince Beri. "Road Traffic Accident Trends, Contributing Factors, and Predictive Analytics in India: A Data-Driven Analysis (2021–2023)." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 9, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i9.041.

Brijesh, , and Prince Beri. "Road Traffic Accident Trends, Contributing Factors, and Predictive Analytics in India: A Data-Driven Analysis (2021–2023)." International Journal of Creative and Open Research in Engineering and Management 02, no. 9 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i9.041.

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References


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  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
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  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Sep 08 2026
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