AI in Transportation: Driving Innovation for Mobility and Sustainability
Abstract
This paper investigates the role of artificial intelligence (AI) in transforming the transportation sector, with a focus on driving innovation for mobility and sustainability. Through an analysis of case studies and industry research, the study explores how AI technologies such as machine learning, computer vision, and autonomous systems are revolutionizing various modes of transportation, including road, rail, air, and maritime. It examines the potential benefits of AI in improving transportation safety, reducing congestion, and enhancing environmental sustainability, while also addressing challenges related to data privacy, cybersecurity, and regulatory frameworks. Additionally, the paper discusses the role of AI in enabling new mobility services such as ride-sharing, micro-mobility, and autonomous vehicles, and its impact on urban planning and infrastructure development. Furthermore, it explores the importance of collaboration between public and private stakeholders, investment in AI infrastructure, and policy support in realizing the full potential of AI in transportation. The findings underscore the transformative impact of AI in creating more efficient, accessible, and environmentally friendly transportation systems for future generations.
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References
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