THE ROLE OF ARTIFICIAL INTELLIGENCE IN SHAPING SUSTAINABLE URBAN TRANSPORTATION SYSTEMS: OPPORTUNITIES AND CHALLENGES

  • Shubham Shankar, Prof. Keshav Kumar

Abstract

This research paper explores the applications of Artificial Intelligence (AI) in sustainable urban transportation planning and management. The study examines how AI technologies, including machine learning, computer vision, and natural language processing, can be leveraged to optimize transportation systems, improve energy efficiency, and enhance the overall urban mobility experience. Through an analysis of current AI applications in transportation and potential future developments, this paper aims to provide insights into the opportunities and challenges associated with AI-driven urban transportation systems.

How to Cite
Shubham Shankar, Prof. Keshav Kumar. (1). THE ROLE OF ARTIFICIAL INTELLIGENCE IN SHAPING SUSTAINABLE URBAN TRANSPORTATION SYSTEMS: OPPORTUNITIES AND CHALLENGES. International Journal Of Innovation In Engineering Research & Management UGC APPROVED NO. 48708, EFI 5.89, WORLD SCINTIFIC IF 6.33, 12(1), 12-16. Retrieved from http://journal.ijierm.co.in/index.php/ijierm/article/view/2612