Rethinking Airspace Boundaries: Operationalizing Flow-Centric ATM Moving from a sector-centric to a flow-centric view of ATM can provide measurable operational benefits, especially during peak times.
Implications of runway direction changes This paper presents a runway-aware approach for Singapore Changi Airport that adjusts aircraft trajectories based on dynamic runway capacity, reducing arrival overloads by 81% through modest upstream time shifts without aggressive tactical intervention.
Delivery route optimization for network efficiency This paper presents a two-stage optimization method for urban drone route networks that balances delivery efficiency, airspace deconfliction, and noise exposure, validated through a real-world medical delivery case study in Paris.
Mitigate air traffic complexity in moving sectors Moving sectors enable flow-centric management with enhanced airspace capacity, as controller workload is dynamically allocated according to traffic conditions.
Range-angle likelihood maps for indoor positioning We develop a ResNet-based deep learning approach for indoor aircraft cabin positioning, achieving centimeter-level localization accuracy by transforming range and angle measurements into likelihood grid maps and optimizing model hyperparameters.
Assessing airport surface traffic performance This study explores the use of crowdsourced ADS-B trajectories and OpenStreetMap infrastructure to analyze airport surface operations, adapting existing methodologies to derive key performance indicators at Zurich Airport.
Human-AI hybrids in safety-critical systems This paper provides an extensive review of the emerging domain of Human-AI Hybrid in Air Traffic Management, defining and examining the fundamental pillars, including collaboration, adaptation, and trust.
Professor Ronzani, visiting researcher Professor Giovanna Ronzani visited our Chair in January 2025 to collaborate on Advanced Air Mobility research and future partnerships.
Appointment as Field Advisor at UTokyo Prof. Schultz has been appointed as a Field Advisor at the University of Tokyo for the aerospace mobility sector, strengthening international research collaborations on digital air transportation, next-generation air mobility, and sustainable aviation operations.
Research exchange with UTokyo At the Tokyo Forum 2024, Prof. Schultz engaged with the President of The University of Tokyo, Prof. Teruo Fujii. Their discussions highlighted the pressing sustainability challenges facing aviation and the necessity of well-connected international research groups to address these global issues effectively.
IWAC2024 Conference Prof. Schultz participated in the IWAC 2024 (International Workshop on ATM/CNS), held on November 19-20, 2024, in Kyoto, Japan. During the conference, he presented our research on "Investigating Moving Sectors and Complexity Metrics in Japanese Airspace."
Predicting flight arrival times with deep learning Air transportation is frequently disrupted by factors such as weather and air traffic control. These disruptions challenge airport operations management, particularly in gate assignments, where potential conflicts and adjustments are often required.
