Operation Digital Twin for Urban Air Mobility (UAM-ODT): Dependability, Security and AI

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 March 2024 | Viewed by 146

Special Issue Editor

Konkuk Aerospace Design-Airworthiness Research Institute (KADA), Konkuk University, Seoul 05029, Republic of Korea
Interests: dependability; security; IoT; quality of services; moving target defense; unmanned aerial mobility; mechatronics
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Special Issue Information

Dear Colleagues,

Urban air mobility (UAM) represents a transformative shift in metropolitan transportation infrastructure, carrying the potential to revolutionize traditional commuting methods and significantly enhance the daily lives of citizens. As a novel layer of urban transportation, UAM leverages personal aerial vehicles (PAVs) to accelerate passenger and freight transport, thereby alleviating traffic congestion and fostering more efficient city dynamics.

The development and maturation of UAM infrastructure, however, hinge upon the integration of a diverse range of modern technologies, including cloud, fog, and edge computing systems to facilitate low-latency communication and computing; artificial intelligence (AI) engines to automate complex tasks; virtual, augmented, and mixed reality (collectively referred to as *R) tools for immersive interaction and visualization in a virtual world; and digital twin (DT) technology for the precise abstraction and prediction of air vehicles and operations in the metaverse.

Digital twin technology is a pivotal component of this technology stack. By providing real-time data on assets and events, DT empowers stakeholders with insights to make timely, informed decisions. A digital twin is essentially a virtual representation of a physical entity or process, capable of mirroring real-time changes based on sensor data and physical object input. In the realm of UAM, the operational digital twin (ODT) functions as the nucleus of air traffic network and management, guaranteeing dependable and trusted air operations. The ODT architecture comprises a physical twin and an abstracted digital twin of air vehicles and traffic operations, both of which evolve in harmony over time.

Air transportation inherently demands a higher standard of safety compared to ground transportation. This necessitates the employment of advanced simulation technologies and AI to forecast potential risks, ultimately enhancing the safety and reliability of air traffic. AI algorithms can analyze vast amounts of data, detect patterns, make predictions, and learn from experience, thereby playing an instrumental role in securing air traffic operations. Coupled with digital twin technology, AI can further optimize UAM operations, ensuring the seamless and safe commutation of passengers and freight.

This Special Issue introduces an ODT framework for high-fidelity abstraction and simulation of air vehicles, flight operations, and air traffic control in future UAM infrastructures. The overarching aim is to bolster the safety and reliability of air commutes within and across cities. The themes of this Special Issue include:

  • Implementing digital twin technology in UAM;
  • Role of AI in enhancing UAM safety and dependability;
  • Integration of cloud, fog, and edge computing in UAM;
  • Security concerns and mitigation strategies in UAM;
  • *R technologies for immersive interaction and visualization in UAM;
  • Use of advanced simulation technologies in UAM;
  • Understanding the operational digital twin (ODT) in UAM;
  • Dependability and trust in air traffic management.

Dr. Tuan Anh Nguyen
Guest Editor

Manuscript Submission Information

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Published Papers

This special issue is now open for submission.
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