Enhanced Flight Planning by introducing stochastic trajectory data

通过引入随机轨迹数据增强飞行计划

• 批准号: 347224103
• 负责人: Professor Dr.-Ing. Hartmut Fricke
• 金额: --
• 依托单位: Institut für Luftfahrt und Logistik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2017
• 资助国家: 德国
• 起止时间: 2016-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/347224103?language=en
• 关键词: Enhanced; Flight; Planning; introducing; stochastic

Along the large scale project Single European Sky, EUROCONTROL issued its latest ATM masterplan to pave the way for the next generation ATM System beyond 2020. One pillar of the masterplan refers to the introduction of 4D user preferred business trajectories claiming for a 4D Trajectory management and thus a punctual and efficient air traffic system. To gain insight on both the level of precision and of robustness of a given trajectory for varying look ahead times, stochastic modeling is considered promising to improve the flight planning process. We aim at identifying and describing statistically all relevant error inputs to it and determining the effects onto flight planning quality. To evaluate these models while considering an increase in automation both at ATC and on the flight deck, an appropriately tuned A-MAN, S-MAN and ATC /Aircraft Simulation environment will be jointly used to execute Monte Carlo simulations. The simulation results will be validated through expert (pilots/controller) workshops.

沿着大型项目“单一欧洲天空”，EUROCONTROL发布了其最新的ATM总体规划，为2020年以后的下一代ATM系统铺平道路。总体规划的一个支柱是引入4D用户首选的业务轨迹，要求4D轨迹管理，从而实现准时和高效的空中交通系统。为了深入了解不同的前瞻时间的给定轨迹的精度和鲁棒性的水平，随机建模被认为是有希望改善飞行规划过程。我们的目标是识别和统计描述所有相关的错误输入，并确定对飞行计划质量的影响。为了评估这些模型，同时考虑到ATC和驾驶舱自动化程度的提高，将联合使用适当调整的A-MAN、S-MAN和ATC /飞机模拟环境来执行蒙特卡洛模拟。模拟结果将通过专家（飞行员/管制员）研讨会进行验证。

项目成果

In-Flight Aircraft Trajectory Optimization within Corridors Defined by Ensemble Weather Forecasts

由集合天气预报定义的走廊内的飞行中飞机轨迹优化

• DOI: 10.3390/aerospace7100144
• 发表时间: 2020
• 期刊: Aerospace
• 影响因子: 2.6
• 作者: M. Lindner;J. Rosenow;T. Zeh;und H. Fricke
• 通讯作者: und H. Fricke

Prediction of the Propagation of Trajectory Uncertainty for Climbing Aircraft

爬升飞机轨迹不确定性传播的预测

• DOI: 10.1109/dasc50938.2020.9256711
• 发表时间: 2020
• 期刊: 2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC)
• 作者: T. Zeh;J. Rosenow;R. Alligier;und H. Fricke
• 通讯作者: und H. Fricke

Interdependent Uncertainty Handling in Trajectory Prediction

轨迹预测中相互依赖的不确定性处理

• DOI: 10.3390/aerospace6020015
• 发表时间: 2019
• 期刊: Aerospace
• 影响因子: 2.6
• 作者: T. Zeh;J. Rosenow;und H. Fricke
• 通讯作者: und H. Fricke