Smart Transportation Systems with Artificial Intelligence: Enhancing Efficiency, Safety, and Sustainability
DOI:
https://doi.org/10.54536/ajsts.v4i2.6022Keywords:
Artificial Intelligence, Efficiency, Logistics, Safety, Smart Transportation, Sustainability, U.S. CompetitivenessAbstract
Artificial intelligence (AI) is transforming transportation, yet most research and applications focus on isolated improvements, lacking a unified approach that connects operational gains with strategic national goals. This paper addresses this gap by developing a conceptual framework that synthesizes how AI enhances transportation systems across three integrated pillars: efficiency, safety, and sustainability. Through a synthesis of recent literature and industry case studies, we propose a model that demonstrates the synergistic effects of AI applications, such as predictive maintenance and dynamic routing. The framework’s primary contribution is to illustrate how these technological advancements collectively bolster U.S. competitiveness by building resilient supply chains, reducing emissions, and fostering leadership in sustainable innovation. This study provides a structured roadmap for policymakers and industry leaders to leverage AI not merely for operational efficiency, but as a strategic asset for long-term economic security
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Copyright (c) 2025 Abdullah Sheikh, Md. Shakil Sheikh, Tajbiha Mehonaj Rinvee
This work is licensed under a Creative Commons Attribution 4.0 International License.
