Transforming Urban Mobility with AI: The Future of Smart Cities

Abstract

Urban mobility is at a crossroads, with traditional transportation systems struggling to keep pace with the growing demands of city life. Artificial Intelligence (AI) offers a transformative solution, enabling the creation of smarter, more efficient, and responsive urban transportation networks. This paper explores the integration of AI into urban mobility, focusing on its applications in traffic management, public transportation, autonomous vehicles, and pedestrian safety. By examining case studies from various cities, the paper highlights the potential benefits and challenges of AI-driven mobility solutions. Additionally, it addresses the ethical considerations and future trends that will shape the evolution of AI in smart cities. The findings suggest that while AI holds significant promise for enhancing urban mobility, careful planning and regulation are essential to ensure equitable and sustainable outcomes.