2020
Journal articles
Future aircraft turnaround operations considering post-pandemic requirements
M Schultz, J Evler, E Asadi, H Preis, H Fricke, CL Wu (2020). Journal of Air Transport Management 89, 101886
Evaluation of Strategies to Reduce the Cost Impacts of Flight Delays on Total Network Costs
J Rosenow, P Michling, M Schultz, J Schönberger (2020). Aerospace 7 (11), 165
Analytical approach to solve the problem of aircraft passenger boarding during the coronavirus pandemic
M Schultz, M Soolaki (2020). arXiv preprint arXiv:2007.16021
Evaluation of Technology-Supported Distance Measuring to Ensure Safe Aircraft Boarding during COVID-19 Pandemic
P Schwarzbach, J Engelbrecht, A Michler, M Schultz, O Michler (2020). Sustainability 12 (20), 8724
Evaluation of aircraft boarding scenarios considering reduced transmissions risks
M Schultz, J Fuchte (2020). Sustainability 12 (13), 5329
From free-route air traffic to an adapted dynamic main-flow system
I Gerdes, A Temme, M Schultz (2020). Transportation Research Part C: Emerging Technologies 115
Conference contributions
Concept of a Long-Range Air Traffic Flow Management, Online Presentation
M Schultz, D Lubig, J Rosenow, E Itoh, S Athota, VN Duong (2020). 10th SESAR Innovation Days
Devising Strategies for Aircraft Arrival Processes via Distance-based Queuing Models
E Itoh, M Schultz, S Athota, VN Duong (2020). 10th SESAR Innovation Days
Speed Control Strategies for E-AMAN using Holding Detection-Delay Prediction Model
I Dhief, ZJ Lim, SK Goh, DT Pham, S Alam, M Schultz (2020). 10th SESAR Innovation Days
Development of stochastic delay cost functions
J Evler, M Schultz, H Fricke, A Cook (2020). 10th SESAR Innovation Days
Using Open Source Data for Landing TimePrediction with Machine Learning Methods
G Chen, J Rosenow, M Schultz, O Okhrin (2020). Proceedings 59 (1), 5 - 8th OpenSky Symposium
Analysis of airport ground operations based on ADS-B data
M Schultz, X Olive, J Rosenow, H Fricke, S Alam (2020). International Conference on Artificial Intelligence and Data Analytics for Air Transportation
Dynamic hot spot prediction by learning spatial-temporal utilization of taxiway intersections
H Ali, R Delair, D T Pham, S Alam, M Schultz (2020). Conference on Artificial Intelligence and Data Analytics in Air Transportation
Creating the future airport passenger experience: IMHOTEP
MM Mota, P Scala, R Herranz, M Schultz, E Jimenez (2020). The International Multidisciplinary Modeling & Simulation Multiconference (I3M)
Future Demand and Optimum Distribution of Droneports
Y Zeng, KH Low, M Schultz, and VN Duong (2020). IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
Short-Term Trajectory Prediction Using Generative Machine Learning Methods
TH Le, PN Tran, DT Pham, M Schultz, S Alam (2020). International Conference on Research in Air Transportation (ICRAT)
Droneport Placement Optimization and Capacity Prediction
Y Zeng, LK Huat, VN Duong, M Schultz (2020). International Conference on Research in Air Transportation (ICRAT)
Predicting Aircraft Landing Time in Extended-TMA Using Machine Learning Methods
I Dhief, Z Wang, M Liang, S Alam, M Schultz, D Delahaye (2020). International Conference on Research in Air Transportation (ICRAT)
Aircraft performance-based redesign of airport obstacle limitation surfaces
K Ahnert, H Fricke, M Schultz (2020). International Conference on Research in Air Transportation (ICRAT)
Invited talks, presentations
The Connected Aircraft Cabin – Passenger Boarding in the Times of COVID-19
M Schultz (invited talk, 2020). VESS – Virtual EUROSIM Simulation Seminars
Passenger boarding considering COVID19 constraints
M Schultz (invited talk, 2020). 4th International Workshop on Airplane Boarding
Airport Performance Monitoring using ADS-B Data
M Schultz, S Förster, X Olive, E Spinielli, R Koelle (2020). 8th OpenSky Symposium
Data-driven trajectory management at airports ( Slides, Video)
M Schultz (invited talk, 2020). Applied Machine Learning Days