Journal of Transportation Engineering and Its Applications ISSN: 3107-4499 (Online)

Authors: Priya Verma, Akriti Mishra

Abstract: Machine learning (ML) and artificial intelligence (AI) have emerged as transformative technologies with the potential to revolutionize the transportation sector. This paper delves into the applications of ML and AI in transportation engineering, highlighting their transformative impact on various aspects of transportation systems. Key areas of application include traffic management, autonomous vehicles, public transportation, and infrastructure management. By leveraging ML and AI algorithms, transportation engineers can enhance safety, optimize efficiency, reduce emissions, and improve accessibility, leading to a more sustainable and equitable transportation future. The paper also acknowledges the challenges associated with the adoption of ML and AI in transportation engineering, such as data availability, privacy concerns, and ethical considerations. Despite these challenges, the potential benefits of these technologies far outweigh the obstacles, paving the way for a paradigm shift in transportation engineering.

Keywords- Machine learning, artificial intelligence, transportation engineering, traffic management, autonomous vehicles, public transportation, infrastructure management, safety, efficiency, emissions, accessibility.