AI-Driven Transportation Systems: Innovations, Challenges, and Future Mobility

Dear Colleagues,

The integration of artificial intelligence (AI) into transportation systems has revolutionized the development of next-generation vehicles and mobility ecosystems. This Special Issue focuses on cutting-edge research leveraging AI to enhance the safety, efficiency, and sustainability of transportation systems. Topics include autonomous driving algorithms, AI-optimized traffic flow prediction, human–machine interactions in intelligent vehicles, energy management for electric/hybrid vehicles, digital healthcare engineering (DHE), and AI-enabled predictive maintenance for transport infrastructure. Emerging challenges such as edge computing for real-time decision-making, explainable AI in safety-critical scenarios, and the ethical implications of AI-driven mobility will also be explored. Submissions are encouraged to address multimodal transportation integration, including aerial drones, maritime vessels, and hyperloop systems, with an emphasis on system-level interoperability. Additionally, we welcome studies on digital twin frameworks, federated learning for distributed transportation networks, and AI applications in reducing carbon footprints. This Issue aims to bridge theoretical advancements with practical implementations, fostering discussions on regulatory frameworks and the societal acceptance of AI-powered transportation.

Prof. Dr. Rongjun Cheng
Dr. Xiaofei Ye
Dr. Cong Zhai
Guest Editors

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