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Revolutionizing Transportation Infrastructure and Smart Cities
Abstract
This paper explores the revolutionary impact of AI-driven engineering on transportation infrastructure and the development of smart cities. Through case studies and research insights, it investigates how artificial intelligence is reshaping traditional transportation systems, including road networks, public transit, and urban mobility. The study highlights the application of AI techniques such as traffic prediction, congestion management, and autonomous vehicle control in optimizing transportation efficiency, reducing environmental impact, and enhancing safety in urban areas. Additionally, it discusses the integration of AI with IoT sensors, smart traffic lights, and integrated mobility platforms to enable real-time data analysis and adaptive management of transportation networks. The paper also addresses challenges such as data privacy, cybersecurity, and equitable access in the deployment of AI-driven engineering solutions in smart cities. It emphasizes the need for interdisciplinary collaboration, stakeholder engagement, and policy support to fully realize the potential of AI in creating more sustainable, resilient, and inclusive urban environments.
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