International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

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DOI Prefix: 10.47001/IRJIET

Data to Safety Leveraging Deep Learning for Intelligent Driver Behavior Analysis

Sarath CPG Student, Dept. of Computer Science and Engineering, EASA College of Engineering and Technology, Tamilnadu, IndiaProf. P. GopikaProfessor, Dept. of Computer Science and Engineering, EASA College of Engineering and Technology, Tamilnadu, India

Vol 9 No 3 (2025): Volume 9, Issue 3, March 2025 | Pages: 193-197

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 28-03-2025

doi Logo doi.org/10.47001/IRJIET/2025.903025

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Abstract

Ensuring road safety is a critical concern globally, and understanding driver behavior plays a significant role in mitigating traffic accidents. This paper presents a novel approach to intelligent driver behavior analysis by leveraging deep learning techniques, specifically Convolutional Neural Networks (CNN) and TensorFlow. Our methodology analyzes huge amounts of data to identify patterns that imply changes in driving behaviors. Our goal is to achieve high accuracy in classifying and predicting various driver actions by training a CNN model on this data. The proposed system is designed to process data, providing immediate feedback to drivers, and potentially alerting them to hazardous behaviors before accidents occur. The experimental results demonstrate that our model achieves superior performance compared to traditional methods, highlighting the efficacy of deep learning in enhancing road safety.

Keywords

Driver behavior, Convolutional neural networks, Accidents


Citation of this Article

Sarath C, & Prof. P. Gopika. (2025). Data to Safety Leveraging Deep Learning for Intelligent Driver Behavior Analysis. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(3), 193-197. Article DOI https://doi.org/10.47001/IRJIET/2025.903025

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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