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}