Authors :
Emmanuel Ogundare
Volume/Issue :
Volume 9 - 2024, Issue 12 - December
Google Scholar :
https://tinyurl.com/4z2r7p7w
Scribd :
https://tinyurl.com/js6y2k35
DOI :
https://doi.org/10.5281/zenodo.14613884
Abstract :
Artificial intelligence (AI) is revolutionizing urban transportation planning in the United States, playing a pivotal role
in optimizing transportation systems for smart city development. This research digs into the pivotal role of AI as a mediator
in integrating diverse technological components to optimize urban operations and enhance residents' quality of life. Faced
with challenges such as congestion, pollution, and infrastructure deficits, cities in the United States are increasingly
leveraging AI to revolutionize transportation planning. Through case studies like Smart Columbus, LA Metro, One Center
City, and SFMTA, the study illustrates AI's transformative potential in fostering sustainable, efficient, and inclusive urban
transportation networks. Policy analysis reveals a multifaceted regulatory landscape at local, state, and federal levels,
emphasizing safety, equity, and interoperability. While existing policies lay foundational frameworks, there's a pressing
need for adaptive regulations to harness AI's full potential responsibly. This research emphasizes the significance of AI-
driven innovations in reshaping urban mobility and offers insights for policymakers to navigate the complexities of smart
city development effectively.
Keywords :
Artificial Intelligence (AI), Urban Transportation Planning, Smart city Development, Urbanization, United States.
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Artificial intelligence (AI) is revolutionizing urban transportation planning in the United States, playing a pivotal role
in optimizing transportation systems for smart city development. This research digs into the pivotal role of AI as a mediator
in integrating diverse technological components to optimize urban operations and enhance residents' quality of life. Faced
with challenges such as congestion, pollution, and infrastructure deficits, cities in the United States are increasingly
leveraging AI to revolutionize transportation planning. Through case studies like Smart Columbus, LA Metro, One Center
City, and SFMTA, the study illustrates AI's transformative potential in fostering sustainable, efficient, and inclusive urban
transportation networks. Policy analysis reveals a multifaceted regulatory landscape at local, state, and federal levels,
emphasizing safety, equity, and interoperability. While existing policies lay foundational frameworks, there's a pressing
need for adaptive regulations to harness AI's full potential responsibly. This research emphasizes the significance of AI-
driven innovations in reshaping urban mobility and offers insights for policymakers to navigate the complexities of smart
city development effectively.
Keywords :
Artificial Intelligence (AI), Urban Transportation Planning, Smart city Development, Urbanization, United States.