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Original Article

Intelligent Connected Vehicle System for Accident Prevention Using AI-driven V2X Communication

  • Paper ID 339
  • Volume 6, Issue 2
  • Pages 438-444
  • Published Online: March-April 2026
  • 49 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • 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.

Article Information

Published Online
March-April 2026
Pages
438-444
Article Type
Original Article
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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.
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