Intelligent Transportation for Integrated Mobile System: AI-Driven Technologies, Engineering Systems, and Industrial Applications

Dear Colleagues,

Transportation systems are rapidly evolving toward Transportation Intelligence, driven by advances in artificial intelligence, intelligent sensing, cyber–physical systems, and data-driven technologies. Beyond traditional intelligent transportation systems, transportation intelligence emphasizes system-level perception, learning, and adaptive decision-making across integrated and multi-modal mobility networks.

This Special Issue focuses on AI-driven methods, intelligent engineering systems, and applied technologies for transportation intelligence. It aims to bridge advanced computational techniques with transportation engineering practice, covering road transportation as the core, rail and urban transit as key extensions, and smart ports and logistics as integral components of integrated mobility systems.

Topics include, but are not limited to, the following: artificial intelligence and machine learning for transportation systems; transportation big data analytics and intelligent decision support; intelligent traffic planning, organization, and control; smart transportation infrastructure and digital twins; intelligent sensing, perception, and control technologies; vehicle–infrastructure cooperation (V2X); multi-modal transportation intelligence; smart ports, digital shipping, and intelligent logistics; and industry-oriented case studies and applications.

This Special Issue welcomes high-quality contributions that advance transportation intelligence technologies and support real-world deployment.

Prof. Dr. Chih-Yu Hsu
Dr. Trong-The Nguyen
Prof. Dr. Goutam Chakraborty
Guest Editors

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