AI-Driven IoT Solutions for Urban Mobility Challenges

Dear Colleagues,

Urban mobility is rapidly evolving through sensors integration, the Internet of Things (IoT), and artificial intelligence (AI)-driven approaches. Smart vehicles, intelligent infrastructures, and adaptive transport systems rely on networks of sensors to gather real-time data, enabling decision-making processes that enhance efficiency, safety, and sustainability.

AI-driven methods play a central role in processing and fusing heterogeneous sensor data for applications such as autonomous navigation, predictive traffic management, and multimodal mobility. At the same time, the growing dependence on interconnected IoT devices and sensor networks exposes these systems to cybersecurity threats. Ensuring secure, and trustworthy infrastructures is therefore critical to the deployment of next-generation mobility solutions.

This Special Issue invites original contributions exploring how these technologies are transforming urban mobility. We welcome research articles, reviews, and case studies. Topics of interest include, but are not limited to, the following:

- AI-driven processing of sensor data for urban mobility;

- IoT architectures for intelligent mobility systems;

- Sensing technologies for autonomous and connected vehicles;

- Cybersecurity in IoT-enabled mobility;

- Secure and resilient sensor networks for smart cities;

- Traffic monitoring and control;

- Edge and cloud computing for real-time mobility data processing;

- Applications of sensors and machine learning in mobility-related environments.

Dr. Ricardo S. Alonso Rincón
Dr. Salvatore Monteleone
Guest Editors

Dr. Albano Carrera
Guest Editor Assistant

Manuscript Submission Information

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