Digital Twins in Smart Mobility and Smart Logistics: Advancing Sensor Systems and Sensing Technologies in Dedicated Cyber–Physical Settings
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 190
Special Issue Editor
Interests: distributed systems; design-integrated engineering; digital twins; sociotechnical systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sensors and sensing technologies do not only form the backbone of smart mobility and smart logistics but they also open innovative digital twin opportunities for servitization, technology and service composition, human–technology interaction, design-integrated engineering, artificial intelligence applications, and participatory development. However, at the same time, they challenge some of the principles that drive the propagation of cyber–physical technologies, their diffusion into societal systems, and the interaction in digitally enriched settings. This Special Issue contextualizes research presented in Sensors by aiming to collate conceptual and case-specific discussions of digital twin development principles for smart mobility and smart logistics. We invite the submission of papers which focus on applications and use cases implementing innovative approaches, e.g., digital process twins overcoming interoperability problems in the Internet of Everything. The findings should be rooted in the idea that smart mobility and smart logistic developments are a form of complex adaptive system development that emerges from aligning heterogeneous components or sub systems while ensuring their autonomy and keeping up with dynamically occurring adaptations for a variety of stakeholders. Key issues in this context include:
- Stakeholder-centric adaptation;
- Disruptive design;
- Federated systems;
- Complex system architectures;
- Complex event and artificial intelligence processing;
- Explainable intelligence;
- Cross-cutting concern management, including security and privacy.
Prof. Dr. Christian Stary
Guest Editor
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