The Future of Transportation: AI in Autonomous Vehicles and Smart Traffic Systems

Authors

  • Vivaan Lal Sharma, Anaya Mohan Kulkarni, Sai Nath Bansal Department of Computer Engineering, Sardar Patel College of Engineering, GTU, Gujarat, India Author

DOI:

https://doi.org/10.15680/IJCTECE.2024.0701001

Keywords:

Artificial Intelligence (AI), Autonomous Vehicles (AVs), Smart Traffic Systems, Machine Learning, Computer Vision, Intelligent Transportation Systems (ITS), Urban Mobility, Traffic Prediction

Abstract

Artificial Intelligence (AI) is driving revolutionary changes in the transportation sector through advancements in autonomous vehicles (AVs) and smart traffic systems. These technologies promise increased safety, reduced congestion, and enhanced mobility. This paper explores the integration of AI in modern transportation, analyzing how machine learning, computer vision, and intelligent systems contribute to self-driving cars and dynamic traffic management. By reviewing current research and real-world implementations, the study provides insights into opportunities and challenges of building AI-enabled transportation ecosystems.

References

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Published

2024-01-01

How to Cite

The Future of Transportation: AI in Autonomous Vehicles and Smart Traffic Systems. (2024). International Journal of Computer Technology and Electronics Communication, 7(1), 8175-8178. https://doi.org/10.15680/IJCTECE.2024.0701001