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Original Article
Intelligent Connected Vehicle System for Accident Prevention Using AI-driven V2X Communication
Dr Richard William1
Boddu Satya Roshini Sri2
Kotha Reddy Harshitha3
Deepika CR4
Keerthana H5
1 Associate Professor, Department of CSE, Raja Rajeswari College of Engineering, Bangalore, Karnataka, India. 2 3 4 5 UG Scholar, Department of CSE, Raja Rajeswari College of Engineering, Bangalore, Karnataka, India.
Published Online: March-April 2026
Pages: 438-444
Cite this article
↗ https://www.doi.org/10.59256/ijrtmr.20260602062
References
1. H. Xiao, K. Yu, and Y. Zhang, “Power Control for Clustering Car-Following V2X Communication System With Non-Orthogonal Multiple
Access,” IEEE Access, vol. 7, pp. 68161–68171, 2019.
2. Z. Pethő, B. Németh, and P. Gáspár, “Quantifying Cyber Risks: The Impact of DoS Attacks on Vehicle Safety in V2X Networks,” IEEE
Transactions on Intelligent Transportation Systems, 2024.
3. W. Chen, J. Li, and X. Wang, “Joint Communication and Control Optimization of a Multi-Vehicle Platooning System,” IEEE Transactions
on Intelligent Transportation Systems, 2025.
4. K. Kenney, “Dedicated Short-Range Communications (DSRC) Standards in Vehicular Networks,” Proceedings of the IEEE, vol. 99, no.
7, pp. 1162–1182, 2011.
5. A. Bazzi, B. M. Masini, A. Zanella, and G. Pasolini, “On the Performance of IEEE 802.11p and LTE-V2V for the Cooperative Awareness
of Connected Vehicles,” IEEE Transactions on Vehicular Technology, vol. 66, no. 11, pp. 10419–10432, 2017.
6. 3GPP, “Study on LTE-based V2X Services (Release 14),” 3GPP Technical Report, 2017.
7. W. Shi et al., “Edge Computing: Vision and Challenges,” IEEE Internet of Things Journal, vol. 3, no. 5, pp. 637–646, 2016.
8. A. Dorri, S. S. Kanhere, and R. Jurdak, “Blockchain in Internet of Vehicles: Challenges and Solutions,” IEEE Network, vol. 31, no. 6, pp.
52–57, 2017.
9. Y. Lv, Y. Duan, W. Kang, Z. Li, and F. Wang, “Traffic Flow Prediction With Big Data: A Deep Learning Approach,” IEEE Transactions
on Intelligent Transportation Systems, vol. 16, no. 2, pp. 865–873, 2015.
10. M. Sepulcre, J. Gozalvez, O. Altintas, and H. Kremo, “Context-Aware Congestion Control for Cooperative Vehicular Networks,” IEEE
Communications Magazine, vol. 49, no. 11, pp. 102–108, Nov. 2011.
Access,” IEEE Access, vol. 7, pp. 68161–68171, 2019.
2. Z. Pethő, B. Németh, and P. Gáspár, “Quantifying Cyber Risks: The Impact of DoS Attacks on Vehicle Safety in V2X Networks,” IEEE
Transactions on Intelligent Transportation Systems, 2024.
3. W. Chen, J. Li, and X. Wang, “Joint Communication and Control Optimization of a Multi-Vehicle Platooning System,” IEEE Transactions
on Intelligent Transportation Systems, 2025.
4. K. Kenney, “Dedicated Short-Range Communications (DSRC) Standards in Vehicular Networks,” Proceedings of the IEEE, vol. 99, no.
7, pp. 1162–1182, 2011.
5. A. Bazzi, B. M. Masini, A. Zanella, and G. Pasolini, “On the Performance of IEEE 802.11p and LTE-V2V for the Cooperative Awareness
of Connected Vehicles,” IEEE Transactions on Vehicular Technology, vol. 66, no. 11, pp. 10419–10432, 2017.
6. 3GPP, “Study on LTE-based V2X Services (Release 14),” 3GPP Technical Report, 2017.
7. W. Shi et al., “Edge Computing: Vision and Challenges,” IEEE Internet of Things Journal, vol. 3, no. 5, pp. 637–646, 2016.
8. A. Dorri, S. S. Kanhere, and R. Jurdak, “Blockchain in Internet of Vehicles: Challenges and Solutions,” IEEE Network, vol. 31, no. 6, pp.
52–57, 2017.
9. Y. Lv, Y. Duan, W. Kang, Z. Li, and F. Wang, “Traffic Flow Prediction With Big Data: A Deep Learning Approach,” IEEE Transactions
on Intelligent Transportation Systems, vol. 16, no. 2, pp. 865–873, 2015.
10. M. Sepulcre, J. Gozalvez, O. Altintas, and H. Kremo, “Context-Aware Congestion Control for Cooperative Vehicular Networks,” IEEE
Communications Magazine, vol. 49, no. 11, pp. 102–108, Nov. 2011.
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