Machine Learning in Transportation

To efficiently develop a sustainable transportation system, various countries are turning to emerging technologies like artificial intelligence AI and machine learning ML which have proved effective in various countries globally. They are integrating AI and ML technologies in transportation, giving a pivotal moment in the evolution of mobility systems. These technologies have not only redefined traditional approaches to managing traffic, optimizing routes, and enhancing safety but have also laid the foundation for entirely new paradigms, such as autonomous vehicles and smart cities. Researchers actively leverage approaches for AI ML to transform America's transportation and energy systems, by addressing complex problems like congestion, energy efficiency, emergency response planning, and safety. The primary objective of this paper is to highlight the impact of machine learning on transportation. Matthew N. O. Sadiku | Matthias Oteniya | Janet O. Sadiku "Machine Learning in Transportation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-6 , December 2025, URL: https://www.ijtsrd.com/papers/ijtsrd99827.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/99827/machine-learning-in-transportation/matthew-n-o-sadiku