原文传递
Performance Evaluation of the Approaches and Algorithms for Hamburg Airport Operations
| 题名： | Performance Evaluation of the Approaches and Algorithms for Hamburg Airport Operations |
| 作者： | Zhu, Z.; Jung, Y.; Lee, H.; Schier, S.; Okuniek, N.; Gerdes, I. |
| 关键词： | Algorithms##Computerized simulation##Airports##Asynchronous transfer mode##Feedback control##Pilotless aircraft##Performance tests##Civil aviation##Predictions##Simulators##Trajectories## |
| 摘要： | In this work, fast-time simulations have been conducted using SARDA tools at Hamburg airport by NASA and real-time simulations using CADEO and TRACC with the NLR ATM Research Simulator (NARSIM) by DLR. The outputs are analyzed using a set of common metrics collaborated between DLR and NASA. The proposed metrics are derived from International Civil Aviation Organization (ICAO)s Key Performance Areas (KPAs) in capability, efficiency, predictability and environment, and adapted to simulation studies. The results are examined to explore and compare the merits and shortcomings of the two approaches using the common performance metrics. Particular attention is paid to the concept of the close-loop, trajectory-based taxi as well as the application of US concept to the European airport. Both teams consider the trajectory-based surface operation concept a critical technology advance in not only addressing the current surface traffic management problems, but also having potential application in unmanned vehicle maneuver on airport surface, such as autonomous towing or TaxiBot [6][7] and even Remote Piloted Aircraft (RPA). Based on this work, a future integration of TRACC and SOSS is described aiming at bringing conflict-free trajectory-based operation concept to US airport. |
| 总页数： | 2 |
| 报告类型： | 科技报告 |
相关文献
- Performance Evaluation of the Approaches and Algorithms using Hamburg Airport Operations
- FAA Air Traffic Activity: FY 1990. Addendum.
- Scheduler Design Criteria: Requirements and Considerations.
- Comparison of Controller and Flight Deck Algorithm Performance During Interval Management with Dynamic Arrival Trees (STARS).
- Comparison of Controller and Flight Deck Algorithm Performance During Interval Management with Dynamic Arrival Trees (STARS).
检索历史
应用推荐
