Articles
IoT-enabled Smart Traffic Management for Autonomous Vehicles - Challenges and Solutions: Discusses challenges and solutions in implementing IoT-enabled smart traffic management systems for Avs
Published 20-06-2022
Keywords
- IoT,
- Smart Traffic Management,
- Autonomous Vehicles
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
How to Cite
[1]
Dr. Fatima Ibrahim, “IoT-enabled Smart Traffic Management for Autonomous Vehicles - Challenges and Solutions: Discusses challenges and solutions in implementing IoT-enabled smart traffic management systems for Avs”, African J. of Artificial Int. and Sust. Dev., vol. 2, no. 1, pp. 37–45, Jun. 2022, Accessed: Nov. 07, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/47
Abstract
The advent of autonomous vehicles (AVs) has revolutionized the transportation industry, promising safer and more efficient roadways. However, the successful integration of AVs into existing traffic systems relies heavily on robust and intelligent traffic management solutions. One promising approach is the utilization of the Internet of Things (IoT) to create smart traffic management systems tailored for AVs. This paper explores the challenges and solutions associated with implementing IoT-enabled smart traffic management for AVs.
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References
- Tatineni, Sumanth. "Ethical Considerations in AI and Data Science: Bias, Fairness, and Accountability." International Journal of Information Technology and Management Information Systems (IJITMIS) 10.1 (2019): 11-21.
- Shaik, Mahammad, et al. "Granular Access Control for the Perpetually Expanding Internet of Things: A Deep Dive into Implementing Role-Based Access Control (RBAC) for Enhanced Device Security and Privacy." British Journal of Multidisciplinary and Advanced Studies 2.2 (2018): 136-160.
- Vemoori, V. “Towards Secure and Trustworthy Autonomous Vehicles: Leveraging Distributed Ledger Technology for Secure Communication and Exploring Explainable Artificial Intelligence for Robust Decision-Making and Comprehensive Testing”. Journal of Science & Technology, vol. 1, no. 1, Nov. 2020, pp. 130-7, https://thesciencebrigade.com/jst/article/view/224.