Journal articles
Predicting flight arrival times with deep learning: A strategy for minimizing potential conflicts in gate assignment
F Cao, T Tang, Y Gao, O Michler, M Schultz. Transportation Research Part C: Emerging Technologies 169, 104866
Self-organized free-flight arrival for urban air mobility
M Waltz, O Okhrin, M Schultz. Transportation Research Part C: Emerging Technologies 167, 104806
Complexity metrics for moving sectors
SB Göppel, M Schultz, E Itoh. IEEE Access 12, 139181-139198
Human-Ai hybrids in safety-critical systems: Concept, definitions and perspectives from air traffic management
H Ali, PD Thinh, S Alam, M Schultz, MZ Li, Y Wang, E Itoh, V Duong. Available at SSRN 4806351
High-fidelity digital twin applied agent-based model for supporting predictable airport ground operations
M Luo, H Fricke, B Desart, SR Zapata, M Schultz. Available at SSRN 4806351
Simulation-based evaluation of indoor positioning systems in connected aircraft cabins
J Ninnemann, H Ußler, O Michler, M Schultz. Transportmetrica B: Transport Dynamics 12 (1), 2321454
Efficiency assessment in European air traffic management—A fundamental analysis of data, models, and methods
T Standfuss, G Hirte, M Schultz, H Fricke. Journal of Air Transport Management 115, 2024, 102523
Conference contributions
Investigating moving sectors and complexity metrics in Japanese airspace
SB Göppel, M Schultz, K Tominaga, E Itoh. International Workshop on ATM/CNS (IWAC) 2024
Optimizing moving sectors: trajectory-based complexity reduction
SB Göppel, M Schultz. Deutscher Luft- und Raumfahrtkongress (DLRK) 2024
Time-based control to reduce trajectory complexity in the flow-centric air traffic control paradigm
K Tominaga, N Inoue, M Schultz, Y Zheng, E Itoh. ICAS - International Council of the Aeronautical Sciences 2024
Emerging from the dark cabin age: sensor-based prediction of passenger boarding times
M Schultz, O Michler, K Nishinari, E Itoh. Conference in Emerging Technologies in Transportation Systems (TRC-30) 2024
Intermodal safety net for urban air mobility
M Schultz, E Asadi, V Istvan. Conference in Emerging Technologies in Transportation Systems (TRC-30) 2024
A dynamic debris hazard corridor for space and air traffic management
I Dhief, W Zhou, Z Wang, S Alam, S Kaltenhäuser, T Rabus, M Schultz. Annual Space Traffic Management Conference 2024
Invited talks, presentations
Efficient airspace management considering future demands
4th International Workshop on Scientific Logistics
M Schultz. Research Center for Advanced Science and Technology (RCAST), The University of Tokyo
Moving metrics: how to evaluate complex traffic scenarios
5th DATS Workshop on Digital Air Traffic Services: Workload and Safety Assessment
M Schultz, SB Göppel. Linköping University, Sweden