IoT and Artificial Intelligence Solutions for Urban Mobility: Special Issue in Sensors Featuring the Participation of the AIR Institute
Researchers from the AIR Institute, Ricardo S. Alonso Rincón and Albano Carrera González, together with Professor Salvatore Monteleone from Niccolò Cusano University (Rome), have been selected as Guest Editors for the special issue “AI-Driven IoT Solutions for Urban Mobility Challenges”, published in the international journal Sensors (MDPI). This special issue, linked to the ESAUTOMATIX project, brings together research focused on how Artificial Intelligence (AI) and the Internet of Things (IoT) are transforming urban mobility, enhancing the efficiency, safety, and sustainability of cities.
Urban mobility is rapidly evolving thanks to the combination of sensors, connected systems and Artificial Intelligence-based solutions. Smart vehicles connected infrastructures and adaptive transport systems depend on sensor networks that collect real-time data. This information makes it possible to take strategic decisions to reduce congestion, improve road safety and move towards mobility with a lower environmental impact. AI plays an essential role in processing and fusing heterogeneous data, facilitating applications such as autonomous navigation, predictive traffic management or multimodal mobility.
At the same time, the growing interconnection of IoT devices and sensor networks poses cybersecurity challenges that must be addressed in order to guarantee the reliability of intelligent transport systems. For this reason, the special issue of this journal seeks contributions that not only explore technological advances but also propose solutions that ensure the integrity and resilience of these infrastructures.
Topics of interest include, among others, sensor data processing through AI applied to urban mobility, IoT architectures for intelligent transport systems, sensing technologies for connected and autonomous vehicles, cybersecurity in sensor networks, traffic control and monitoring, and edge and cloud computing for real-time data processing. Research articles, review papers and case studies are accepted, all subject to a rigorous peer-review process, and will be published continuously in Sensors as soon as they are accepted.
The deadline for the submission of manuscripts is 30 September 2026, offering the research community an excellent opportunity to contribute innovative solutions that promote the mobility of the future in a safe, efficient and sustainable way.