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- Vol. 5 Issue 6
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Traffic and Accident Prediction in Visual Data using Deep Learning
Authors
1 Professor, Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bengaluru, Karnataka, India. 2 3 4 5 Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bengaluru, Karnataka, India.
Article Information
- Published In
- Volume 5, Issue 6 (2025)
- Published Online
- November-December 2025
- Pages
- 165-172
- Article Type
- Original Article
- Check for updates
-
References
1. M. Bäumler and G. Prokop, “Predicting the Type of Road Traffic Accident for Test Scenario Generation,” IEEE Access, published Feb. 20, 2024, doi: 10.1109/ACCESS.2024.3367744.
2. O. I. Aboulola, A. A. Alarfaj, S. Alsubai, E. A. Alabdulqader, and T.-H. Kim, “An Automated Approach for Predicting Road Traffic Accident Severity Using Transformer Learning and Explainable AI Technique,” IEEE Access, published Mar. 22, 2024, doi: 10.1109/ACCESS.2024.3380895.
3. Y. Pei, Y. Wen, and S. Pan, “Road Traffic Accident Risk Prediction and Key Factor Identification Framework Based on Explainable Deep Learning,” IEEE Access, published Aug. 29, 2024, doi: 10.1109/ACCESS.2024.3451522.
4. M. F. B. Amin, I. J. Khan, M. M. Islam, F. Akter, and A. Ahmed, “SafeTrax: Smart Collision Prediction and Alert System Using IoT for Sustainable Traffic Safety,” IEEE Access, published Dec. 31, 2024, doi: 10.1109/ACCESS.2024.3524676.
5. S. T. Fu, L. B. Theng, B. L. C. Shiong, C. McCarthy, and
6. M. T. Tsun, “A Multi-Stream Approach to Mixed-Traffic Accident Recognition Using Deep Learning,” IEEE Access, published Dec. 9, 2024, doi: 10.1109/ACCESS.2024.3512794.
7. S. Jaradat, A. Paz, M. Elhenawy, H. I. Ashqar, and R. Nayak, “Leveraging Deep Learning and Multimodal Large Language Models for Near-Miss Detection Using Crowdsourced Videos,” IEEE Open Journal of the Computer Society, published Jan. 3, 2025, doi: 10.1109/OJCS.2025.3525560.
8. Y. S. Türkan and M. Ulu, “A Hybrid Approach to Traffic Incident Management: Machine Learning-Based Prediction and Patrol Optimization,” IEEE Access, published Feb. 24, 2025, doi: 10.1109/ACCESS.2025.3544765.
9. R. Singh, A. Pal, A. Chowdhury, and S. Mishra, “Enhancing Situational Awareness: Anomaly Detection Using Real-Time Video Across Multiple Domains,” IEEE Access, published Apr. 15, 2025, doi: 10.1109/ACCESS.2025.3560874.
10. Chaoura, H. Lazar, and Z. Jarir, “Enhancing Emergency Response in Road Accidents: A Severity Prediction Framework Using RF-RFE and Deep Learning Model,” IEEE Access, published Jul. 25, 2025, doi: 10.1109/ACCESS.2025.3592609.
11. M. F. Haque, M. Emamijavanmard, and Y. Tang, “Time- Series Forecasting for Peak Hour Traffic Accidents,” IEEE Open Journal of Intelligent Transportation Systems, published Jun. 26, 2025, doi: 10.1109/OJITS.2025.3583686 Y. Maruyama and G. Ohashi, “Accident Prediction Model Using Divergence Between Visual Attention and Focus of Expansion in Vehicle-Mounted Camera Images,” IEEE Access, published Dec. 5, 2023, doi: 10.1109/ACCESS.2023.3339855.
12. K. R. Reddy and A. Muralidhar, “Machine Learning- Based Road Safety Prediction Strategies for Internet of Vehicles Enabled Vehicles: A Systematic Literature Review,” IEEE Access, published Sep. 15, 2023, doi: 10.1109/ACCESS.2023.3315852
13. Y.-F. Zhou, J.-B. He, K. Xie, X.-Y. Zhang, and C. Wen, “Efficient Traffic Accident Warning Based on Unsupervised Prediction Framework,” IEEE Access, published May 3, 2021, doi: 10.1109/ACCESS.2021.3077120.
14. R. Chen, L. Hei, and Y. Lai, “Image Recognition and Safety Risk Assessment of Traffic Sign Based on Deep Convolution Neural Network,” IEEE Access, published Oct. 20, 2020, doi: 10.1109/ACCESS.2020.3032581.
2. O. I. Aboulola, A. A. Alarfaj, S. Alsubai, E. A. Alabdulqader, and T.-H. Kim, “An Automated Approach for Predicting Road Traffic Accident Severity Using Transformer Learning and Explainable AI Technique,” IEEE Access, published Mar. 22, 2024, doi: 10.1109/ACCESS.2024.3380895.
3. Y. Pei, Y. Wen, and S. Pan, “Road Traffic Accident Risk Prediction and Key Factor Identification Framework Based on Explainable Deep Learning,” IEEE Access, published Aug. 29, 2024, doi: 10.1109/ACCESS.2024.3451522.
4. M. F. B. Amin, I. J. Khan, M. M. Islam, F. Akter, and A. Ahmed, “SafeTrax: Smart Collision Prediction and Alert System Using IoT for Sustainable Traffic Safety,” IEEE Access, published Dec. 31, 2024, doi: 10.1109/ACCESS.2024.3524676.
5. S. T. Fu, L. B. Theng, B. L. C. Shiong, C. McCarthy, and
6. M. T. Tsun, “A Multi-Stream Approach to Mixed-Traffic Accident Recognition Using Deep Learning,” IEEE Access, published Dec. 9, 2024, doi: 10.1109/ACCESS.2024.3512794.
7. S. Jaradat, A. Paz, M. Elhenawy, H. I. Ashqar, and R. Nayak, “Leveraging Deep Learning and Multimodal Large Language Models for Near-Miss Detection Using Crowdsourced Videos,” IEEE Open Journal of the Computer Society, published Jan. 3, 2025, doi: 10.1109/OJCS.2025.3525560.
8. Y. S. Türkan and M. Ulu, “A Hybrid Approach to Traffic Incident Management: Machine Learning-Based Prediction and Patrol Optimization,” IEEE Access, published Feb. 24, 2025, doi: 10.1109/ACCESS.2025.3544765.
9. R. Singh, A. Pal, A. Chowdhury, and S. Mishra, “Enhancing Situational Awareness: Anomaly Detection Using Real-Time Video Across Multiple Domains,” IEEE Access, published Apr. 15, 2025, doi: 10.1109/ACCESS.2025.3560874.
10. Chaoura, H. Lazar, and Z. Jarir, “Enhancing Emergency Response in Road Accidents: A Severity Prediction Framework Using RF-RFE and Deep Learning Model,” IEEE Access, published Jul. 25, 2025, doi: 10.1109/ACCESS.2025.3592609.
11. M. F. Haque, M. Emamijavanmard, and Y. Tang, “Time- Series Forecasting for Peak Hour Traffic Accidents,” IEEE Open Journal of Intelligent Transportation Systems, published Jun. 26, 2025, doi: 10.1109/OJITS.2025.3583686 Y. Maruyama and G. Ohashi, “Accident Prediction Model Using Divergence Between Visual Attention and Focus of Expansion in Vehicle-Mounted Camera Images,” IEEE Access, published Dec. 5, 2023, doi: 10.1109/ACCESS.2023.3339855.
12. K. R. Reddy and A. Muralidhar, “Machine Learning- Based Road Safety Prediction Strategies for Internet of Vehicles Enabled Vehicles: A Systematic Literature Review,” IEEE Access, published Sep. 15, 2023, doi: 10.1109/ACCESS.2023.3315852
13. Y.-F. Zhou, J.-B. He, K. Xie, X.-Y. Zhang, and C. Wen, “Efficient Traffic Accident Warning Based on Unsupervised Prediction Framework,” IEEE Access, published May 3, 2021, doi: 10.1109/ACCESS.2021.3077120.
14. R. Chen, L. Hei, and Y. Lai, “Image Recognition and Safety Risk Assessment of Traffic Sign Based on Deep Convolution Neural Network,” IEEE Access, published Oct. 20, 2020, doi: 10.1109/ACCESS.2020.3032581.
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