AI-Driven Information and Engineering Systems for Future Mobility

Dear Colleagues,

Artificial Intelligence (AI) is disrupting research nowadays, especially in future mobility and transportation issues. Numerous approaches have already been published in domains such as autonomous vehicles, smart transportation networks, intelligent traffic management systems, and advanced driver-assistance systems.

The development of AI-driven information and engineering systems for future mobility has the potential to revolutionize the way we move around in our daily lives. By leveraging the power of AI, these systems can improve safety, reduce congestion, enhance energy efficiency, and provide new levels of convenience and comfort for users.

Some of the key technologies and concepts that are relevant to this topic include machine learning, computer vision, natural language processing, sensor fusion, intelligent transportation systems, human–machine interaction, and cloud computing. Additionally, there is a strong emphasis on interdisciplinary collaboration as well as a focus on specific mobility branches (e.g., UAV).

Overall, the development of AI-driven information and engineering systems for future mobility is a rapidly evolving field that has the potential to transform the way we move and interact with our environment. Some of the keywords that are relevant to this topic include AI, mobility, transportation, autonomous vehicles, machine learning, sensor fusion, smart cities, and human–machine interaction.

This Special Issue invites scientific contributions proposing new, innovative, and original approaches to AI-based solutions in the mobility sector. It aims to provide an opportunity for academics and practitioners to share their theoretical and practical knowledge and findings in the field, with the aim to move the state-of-the-art and the state-of-the-practice forward. This Special Issue includes articles on the following:

• Decision making under uncertainty;
• Energy-efficient mobility solutions;
• Cybersecurity for connected vehicles;
• Smart traffic management systems;
• Sensor networks for transportation monitoring;
• Multi-modal transportation systems;
• Edge computing for intelligent transportation systems;
• UAV-specific topic (automated flight, U-Spaces, …);
• Computer vision-related topics (multi-object multi-sensor tracking, etc.).

Prof. Dr. Mario Döller
Guest Editor

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