Innovative Mobility Services for Smart Cities

Dear Colleagues,

Cities globally are facing unprecedented mobility challenges, including congestion, pollution and accessibility issues. Smart Cities offer a transformative evolution, leveraging cutting-edge technologies and data-driven approaches to create more efficient, sustainable and inclusive urban environments. At the heart of this transformation lies the development and implementation of smart mobility services.

Smart mobility refers to an integrated approach to traffic and transport management, with the potential integration of Advanced Air Mobility (AAM) / Urban Air Mobility (UAM) solutions with terrestrial Connected Autonomous Vehicles (CAVs). The integration of smart multimodal mobility services has an impact on city infrastructures as well as on real-time monitoring and predictive analytics requirements for service operations management, citizen engagement and policymaker decision support. The emerging Urban Digital Twin paradigm harnesses an encompassing digital infrastructure for data collection, analysis, model training and real-time visualization, which enables novel planning, simulation and control capabilities, essential to face the complexity of managing smart mobility service integration in the urban fabric. Urban Digital Twins leverage advanced technologies such as artificial intelligence, machine learning and the Internet of Things (IoT) and facilitate solutions to optimize traffic flows, reduce pollutant emissions and noise and enhance travel experience for citizens.

This Call for Papers invites researchers, practitioners, policymakers and industry experts to contribute their latest research, insights and case studies on  “Innovative Mobility Services for Smart Cities”. We seek original contributions that explore theoretical advancements, technological innovations, practical applications and policy implications in shaping the future of smart city models for developing, monitoring and managing innovative urban transportation services.

Submissions are welcome across a broad range of topics including, but not limited to, the following:

• Data Analytics, AI and IoT for Smart Mobility:
  • Data Space designs for Urban Digital Twins.
  • Big data processing and analysis for urban mobility insights.
  • IoT sensor networks for real-time traffic monitoring and infrastructure management.
  • Simulation and modeling of traffic flow and mobility scenarios.
  • AI and machine-learning applications in traffic management and prediction.
  • Large Language Models and Retrieval-Augmented Generation for context-aware conversational Urban Digital Twin user interfaces.
  • Data privacy, security and governance in smart mobility systems and services.
• Connected and Autonomous Vehicles (CAVs):
  • Integration of terrestrial and aerial CAVs into urban transport systems.
  • Advanced Air Mobility (AAM) / Urban Air Mobility (UAM) technologies, architectures and service models.
  • Safety, cybersecurity and ethical considerations of autonomous mobility.
  • Impact of multimodal CAVs on city infrastructures, urban planning and land use.
• Mobility-as-a-Service (MaaS):
  • Design, implementation and evaluation of MaaS platforms.
  • Privacy and security in MaaS platforms and applications.
  • Regulatory frameworks and standards for new mobility services.
  • Behavioral analysis, user adoption and citizen engagement in smart mobility services.
  • Economic and environmental impact assessment of innovative mobility solutions.
  • Business models and regulatory frameworks for shared mobility.
• Foundations and Architectures of Urban Digital Twins:
  • Conceptual frameworks and theoretical models for Urban Digital Twins.
  • Data models, ontologies and interoperability standards for urban data.
  • Simulation and modeling of traffic flow and mobility scenarios.
  • Real-time monitoring and predictive analytics using digital twins.
  • Scalable architectures for large-scale urban digital twin implementations.
  • Integration of diverse data sources (IoT, GIS, BIM, satellite imagery, social media).
• Applications:
  • Smart public transport systems (e.g., demand-responsive transit, intelligent scheduling).
  • Autonomous connected terrestrial and aerial passenger transport services.
  • Optimizing shared vehicle fleets (e.g., car-sharing, ride-pooling, micro-mobility).
  • Sustainable last-mile logistics.
  • Aerial monitoring of urban territory for traffic and safety management.

Dr. Agnese Pinto
Dr. Filippo Gramegna
Dr. Saverio Ieva
Dr. Floriano Scioscia
Prof. Dr. Michele Ruta
Guest Editors

Manuscript Submission Information

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