AI-Driven IoT Solutions for Urban Mobility Challenges
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 711
Special Issue Editors
2. Higher School of Engineering and Technology, International University of La Rioja (UNIR), 26006 Logroño, Spain
Interests: Internet of Things; edge computing; distributed ledger and blockchain technologies; embedded systems; indoor location systems; cloud computing; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: cyber–physical systems; network-on-chip based architectures; HW accelerators; user-centric systems
Special Issues, Collections and Topics in MDPI journals
2. BISITE Research Group, University of Salamanca, 37008 Salamanca, Spain
Interests: Internet of Things; edge computing; embedded systems; electronics; artificial intelligence
Special Issue Information
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- IoT
- sensors network
- urban mobility
- artificial intelligence driven applications
- sensor networks cybersecurity
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