eISSN: 3087-4270 editor@aimjournals.com
All Journals
Submit your article

International Journal of Advanced Artificial Intelligence Research

Open Access Peer Review International
Open Access

Survey of Artificial Intelligence Approaches for Traffic Accident Analysis, Prediction, And Prevention

DOI https://doi.org/10.55640/ijaair-v03i07-03
pdf
Dr Chintal Kumar Patel 1 ,
4 Associate Professor, CSE, Geetanjali Institute of Technical Studies, India

Abstract

Road traffic accidents are a major public safety concern, causing substantial fatalities, injuries, and economic losses every year. The increasing availability of traffic data and advances in Artificial Intelligence (AI) have accelerated the development of intelligent techniques for traffic accident analysis, prediction, and prevention. This paper presents a comprehensive survey of AI-based approaches for traffic accident analysis, covering traditional statistical methods, Machine Learning (ML), Deep Learning (DL), computer vision, and Intelligent Transportation Systems (ITS). The survey discusses the role of AI in accident risk prediction, smart traffic monitoring, and intelligent transportation infrastructure, along with conventional accident prevention strategies. Furthermore, recent literature is systematically reviewed to compare commonly used algorithms, application domains, advantages, and existing limitations. The paper also examines key enabling technologies, including IoT, connected vehicles, GPS, wireless communication, and traffic surveillance systems, that support real-time accident prevention. Finally, current research challenges and emerging trends are discussed to provide insights into future intelligent traffic accident prevention systems. This survey provides a structured overview of current research and highlights emerging directions for developing more accurate, explainable, and scalable AI-driven traffic accident prevention systems.

Keywords

Traffic Accident Prevention, Internet of Things (IoT), Vehicle-to-Everything (V2X)

References

Z. Hu, J. Zhou, and E. Zhang, “Improving Traffic Safety through Traffic Accident Risk Assessment,” Sustainability, vol. 15, no. 4, p. 3748, Feb. 2023, doi: 10.3390/su15043748.
O. I. Aboulola, E. A. Alabdulqader, A. A. AlArfaj, S. Alsubai, and T.-H. Kim, “An Automated Approach for Predicting Road Traffic Accident Severity Using Transformer Learning and Explainable AI Technique,” IEEE Access, vol. 12, pp. 61062–61072, 2024, doi: 10.1109/ACCESS.2024.3380895.
Y. Muni, “Understanding The Evolution Of Internet Protocols: An In-Depth Review Of Ipv4 And Ipv6: A Comparative Review Of Transition Challenges And Solutions,” Int. J. Adv. Res. Comput. Sci., vol. 16, no. 4, pp. 109–117, Aug. 2025, doi: 10.26483/ijarcs.v16i4.7307.
M. Akhtar and S. Moridpour, “A Review of Traffic Congestion Prediction Using Artificial Intelligence,” J. Adv. Transp., vol. 2021, no. 1, pp. 1–18, Jan. 2021, doi: 10.1155/2021/8878011.
S. I. Mohammed and S. I. Mohammed, “An Overview of Traffic Accident Investigation Using Different Techniques,” Automot. Exp., vol. 6, no. 1, pp. 68–79, 2023.
T. Osayomi, “Regional determinants of road traffic accidents in Nigeria: identifying risk areas in need of intervention,” African Geogr. Rev., vol. 32, no. 1, pp. 88–99, Jun. 2013, doi: 10.1080/19376812.2012.750224.
A. A. Mohammed, K. Ambak, A. M. Mosa, and D. Syamsunur, “A Review of the Traffic Accidents and Related Practices Worldwide,” Open Transp. J., vol. 13, no. 1, pp. 65–83, jun. 2019, doi: 10.2174/1874447801913010065.
A. Obeidat, J. Abawajy, and A. Khraisat, “Artificial intelligence in urban transportation systems: A systematic survey and taxonomy,” Alexandria Eng. J., vol. 147, pp. 37–66, Jun. 2026, doi: 10.1016/j.aej.2026.05.021.
Z. Seghir, L. Guezouli, K. Barka, D. E. Boubiche, H. Toral-Cruz, and R. Martínez-Peláez, “A Real-Time Consensus-Free Accident Detection Framework for Internet of Vehicles Using Vision Transformer and EfficientNet,” AI, vol. 7, no. 1, p. 4, Dec. 2025, doi: 10.3390/ai7010004.
V. K. Sharma and A. K. S, “Hierarchical Cloud-IoT Architecture for AI-Powered Intelligent Disaster Response,” in 2025 7th International Conference on Innovative Data Communication Technologies and Application (ICIDCA), IEEE, Oct. 2025, pp. 603–610. doi: 10.1109/ICIDCA66325.2025.11280408.
M. Mittal, “The Evolution of Deep Learning: A Performance Analysis of CNNs in Image Recognition,” Int. J. Adv. Res. Educ. Technol., vol. 03, no. 06, Jun. 2016, doi: 10.15680/IJARETY.2016.0306016.
K. Dixit, “An Intelligent Decision Support System for Tourist Management Via Global Tourism Analysis,” Int. J. Sci. Res. Sci. Technol., vol. 11, no. 4, pp. 755–765, oct. 2024.
S. Singamsetty, “AI-powered Satellite Image Processing for Global Air Traffic Surveillance Techniques Using NCNN–EGSA Optimization Techniques,” in Machine Learning Based Air Traffic Surveillance System Using Image Processing, Emerald Publishing Limited, 2026, pp. 179–197. doi: 10.1108/978-1-80592-062-520251010.
F. Bhatti, M. A. Shah, C. Maple, and S. U. Islam, “A Novel Internet of Things-Enabled Accident Detection and Reporting System for Smart City Environments,” Sensors, vol. 19, no. 9, p. 2071, May 2019, doi: 10.3390/s19092071.
J. Siswanto, A. S. N. Syaban, and H. Hariani, “Artificial Intelligence in Road Traffic Accident Prediction,” Jambura J. Informatics, vol. 5, no. 2, pp. 77–90, Nov. 2023, doi: 10.37905/jji.v5i2.22037.
R. Sateesh, M. Kumar, P. Venu, and V. Shanagapati, “Smart Traffic Management System,” 2024 Int. Conf. Intell. Syst. Adv. Appl. ICISAA 2024, vol. 8, no. 10, pp. 150–153, 2024, doi: 10.1109/ICISAA62385.2024.10828951.
M. Elassy, M. Al-Hattab, M. Takruri, and S. Badawi, “Intelligent transportation systems for sustainable smart cities,” Transp. Eng., vol. 16, p. 100252, Jun. 2024, doi: 10.1016/j.treng.2024.100252.
H. K. Yadav, “Design and Implement Machine Learning Based Predictive Analytics for Road Safety and Accident Prevention,” in 2026 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), Gwalior, India: IEEE, 2026, pp. 1–6, March. doi: 10.1109/IATMSI68868.2026.11465965.
S. Singh, “Advancing Wireless Communications with Open Radio Access Network,” in 2025 6th International Conference on Data Intelligence and Cognitive Informatics (ICDICI), IEEE, Jul. 2025, pp. 682–687. doi: 10.1109/ICDICI66477.2025.11135206.
R. Lingam, “AI-Powered Framework for Evaluating Child-Friendly Mobile Applications,” Int. J. Hum. Comput. Intell., vol. 4, no. 4, pp. 535–549, 2025, doi: 10.5281/zenodo.15624307.
T. Banerjee and H. Singh, “Securing Non-Human Identities in Industrial IoT: A Blockchain-Based Trust Framework,” NIPES - J. Sci. Technol. Res., vol. 7, no. 4, pp. 228–246, Dec. 2025, doi: 10.37933/nipes/7.4.2025.1660.
T. Mintie Wubie and A. Tilahun Fetene, “Road Crash Prediction Models: A Review of Methods and Applications,” Put i saobraćaj, vol. 70, no. 4, pp. 11–20, 2024, doi: 10.31075/pis.70.04.02.
H. Affou, D. Teso-Fz-Betoño, U. Fernandez-Gamiz, J. A. Ramos-Hernanz, D. Caballero-Martin, and J. M. Lopez-Guede, “Advances in Traffic Accident Prediction: A Survey of Novel Approaches,” Urban Sci., vol. 10, no. 7, p. 349, Jun. 2026, doi: 10.3390/urbansci10070349.
R. Verma and M. M. Agarwal, “A Systematic Review on Road Accident Prediction: A Special Attention Toward Machine Learning and Deep Learning Approaches,” J. Circuits, Syst. Comput., vol. 35, no. 02, Jan. 2026, doi: 10.1142/S0218126625300090.
N. Niture and I. Abdellatif, “A systematic review of factors, data sources, and prediction techniques for earlier prediction of traffic collision using AI and machine Learning,” Multimed. Tools Appl., vol. 84, no. 18, pp. 19009–19037, 2025, doi: 10.1007/s11042-024-19599-6.
N. Behboudi, S. Moosavi, and R. Ramnath, “Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques,” 2024.
V. Adewopo, N. Elsayed, Z. Elsayed, M. Ozer, V. Wangia-Anderson, and A. Abdelgawad, “AI on the Road: A Comprehensive Analysis of Traffic Accidents and Autonomous Accident Detection System in Smart Cities,” in Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, 2023, pp. 501–506. doi: 10.1109/ICTAI59109.2023.00080.
M. Shaygan, C. Meese, W. Li, X. (George) Zhao, and M. Nejad, “Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities,” Transp. Res. Part C Emerg. Technol., vol. 145, p. 103921, Dec. 2022, doi: 10.1016/j.trc.2022.103921.

Most read articles by the same author(s)

1 2 3 4 5 6 7 8 9 10 > >> 

Similar Articles

1-10 of 12

You may also start an advanced similarity search for this article.