Eco-Safe Intelligent Mobility Development and Application

Dear Colleagues,

The development of eco-safe intelligent mobility aims to maximize safety, efficiency, and sustainability for diverse future transport modes, including carbon-free autonomous vehicles, urban air mobility, and mobile robots. Central to this effort is the design of generalized and scalable modeling and control methodologies for intelligent driving and propulsion systems. The scope spans from fundamental theory to system-level applications, with the potential to support various propulsion types and scalable control frameworks across diverse mobility platforms. It covers intelligent propulsion system design, eco-safe control strategies, renewable energy integration, and cooperative decision-making for heterogeneous mobile agents in mixed mobility scenarios. This Special Issue seeks to present the latest research and practical outcomes, inviting submissions that propose novel methodologies, theoretical frameworks, practical implementations, or critical reviews, thereby enriching the scholarly discourse.

The aim is to consolidate advances in universal mobility system design and control into a coherent body of knowledge. Although the prior literature on autonomous driving and powertrain control has been explored, generalized and scalable frameworks for modeling, optimization, and control remain scarce in the context of emerging, diverse mobility systems. This Special Issue aims to bridge this gap by fostering cross-disciplinary dialogue and presenting integrated solutions that connect artificial intelligence, automotive engineering, robotics, and energy systems. It is meaningful to build upon, extend, and innovate existing methods to inspire a new theoretical framework for the design of next-generation mobility systems.

In this Special Issue, original research articles and reviews are welcome, with an emphasis on scalability, application efficiency, interoperability, and measurable improvements in the safety and sustainability of emerging mobility platforms. Both simulation-based research and real-world deployment studies are welcome, and topics of interest include, but are not limited to, the following:

• Generalized, scalable, and interoperable foundational models for intelligent mobility devices;
• Safety and eco-efficiency assessment for autonomous and multi-modal mobility systems;
• Propulsion system topology optimization and component sizing of future mobility platforms;
• Digital twin-based modeling and remaining driving range prediction for mobility devices;
• Intelligent decision-making for connected vehicles using large models and game theory;
• Risk perception and prediction models for complex mixed-traffic or multi-agent scenarios;
• Path/trajectory/motion planning and control of multi-modal mobility devices;
• Strategies for cooperative driving and multi-agent coordination in mixed mobility scenarios;
• Human–machine interaction in multi-modal mobility systems;
• Learning-based energy management of electrified mobility devices in dynamic environments;
• Eco-driving/flying strategies for electrified mobility platforms;
• Learning-based mobility-to-grid interaction strategies for electric mobility platforms;
• Risk evaluation of decision-making policy in mobility devices;
• Digital twin and simulation platforms for intelligent mobility testing and validation;
• Real-world deployment case studies in urban, aerial, and off-road environments.

Dr. Hao Zhang
Dr. Bingbing Li
Dr. Chaoyi Chen
Guest Editors

Manuscript Submission Information

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