Next-Generation Intelligent Transportation Systems: AI-Driven Traffic Monitoring, Autonomous Control and Data-Driven Management for Smart Cities
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: 20 February 2027 | Viewed by 73
Editor
Interests: silicon technology; silicon micro-/nanomachining; porous silicon technology and applications; solid-state device; electronic systems; MEMS/NEMS; gas sensing; biosensing; lab-on-chip; microneedles; drug delivery; optofluidic microsystems; photonic crystal; glass technology; polimer technology and applications
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Special Issue Information
Dear Colleagues,
The rapid evolution of Smart Cities is transforming Intelligent Transportation Systems (ITS) from conventional traffic monitoring into integrated, autonomous, and data-driven mobility ecosystems. Advances in Artificial Intelligence (AI), Internet of Things (IoT), edge computing, connected and automated vehicles, advanced sensing, and Digital Twins are enabling significant improvements in traffic efficiency, road safety, environmental sustainability, and urban resilience. Meanwhile, increasing urban complexity, multimodal mobility, and the availability of heterogeneous data sources create new scientific challenges that demand innovative and interdisciplinary solutions. This Special Issue aims to bring together researchers, engineers, practitioners, and policymakers working on next-generation intelligent and autonomous traffic monitoring, control, and management systems for Smart Cities. We welcome original research, reviews, and case studies covering AI-driven traffic analytics, sensor fusion, computer vision, connected and cooperative mobility, Digital Twins, cyber–physical transportation systems, edge intelligence, multimodal traffic management, environmental monitoring, cybersecurity, and data-driven decision support. Particular emphasis is placed on contributions demonstrating the integration of heterogeneous sensing platforms, scalable digital infrastructures, and autonomous decision-support systems for real-time urban operations. Field deployments, living labs, pilot projects, benchmark datasets, and experimental validations are especially encouraged to bridge the gap between theoretical advances and operational implementation, fostering safer, greener, more resilient, and human-centric mobility systems for future Smart Cities.
Dr. Lucanos Strambini
Guest Editor
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Keywords
- intelligent transportation systems (ITSs)
- artificial intelligence for intelligent mobility
- autonomous traffic monitoring and control
- digital twins for smart cities
- connected, cooperative and autonomous mobility (CCAM)
- edge AI and distributed sensing
- multi-source sensor fusion
- real-time decision support systems
- cyber–physical transportation systems
- field validation and living labs
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