Paper Details

Name: Inderpreet Kaur
Country: India

Year: 2024
Volume: Volume-11, Issue-1 (January-June)
Page Number: 8-13

The transportation sector is undergoing a profound transformation with the integration of Artificial Intelligence (AI) technologies. This paper explores the diverse applications of AI in transportation, ranging from autonomous vehicles to traffic management systems. By examining real-world examples and discussing the challenges and opportunities associated with AI implementation, this paper aims to shed light on the transformative impact of AI in shaping the future of transportation. In an era where connectivity, efficiency, and sustainability are paramount, the infusion of AI into transportation systems stands as a cornerstone for revolutionizing the way we move and connect with our surroundings. This paper navigates through the intricate web of AI applications, offering a comprehensive understanding of how intelligent technologies are reshaping the very fabric of the transportation landscape. Machine learning algorithms enable predictive maintenance, reducing downtime and enhancing the reliability of vehicles and infrastructure. Moreover, AI-driven route optimization and dynamic scheduling enhance the efficiency of logistics and public transportation, minimizing congestion and reducing overall travel times. The advent of AI has also ushered in a new era of safety, with advanced driver assistance systems (ADAS) leveraging machine learning to analyze real-time data from sensors and cameras, providing timely warnings and interventions to prevent accidents. These technologies not only enhance road safety but also pave the way for the eventual transition to fully autonomous vehicles. As we journey into the future, the fusion of AI and transportation promises a paradigm shift, revolutionizing the way we perceive, interact with, and navigate our physical world.
Keywords: Artificial Intelligence, Smart Transport, Autonomous Vehicles