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Feasibility Study on Constrained Optimal Trajectory Application in the Japanese Airspace

机译:在日本空域中约束最优弹道应用的可行性研究

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Efficient measures are required in overcoming challenges and meeting demands in a future air traffic management system. The 'CARATS' roadmap established by the Japan Civil Aviation Bureau emphasizes the significance of applying the 4D Trajectory Based Operations (TBO) concept into the Japanese airspace. This paper provides a framework to review the feasibility of such system in the Japanese airspace. A Dynamic Programming method based trajectory optimizer tool developed by the authors is used to investigate the potential benefits (mainly fuel consumption and flight time) and its dispersion according to various operational constraints based on a series of radar surveillance data, publicly distributed as 'CARATS Open Data'. Effects of weather conditions and aircraft performance model data on the aircraft behavior are reviewed by considering numerical weather prediction model data from the Japan Meteorological Agency and BADA Family 4 aircraft performance model data from the EUROCONTROL in performance estimations. Obtained results indicate that meteorological forecast data and BADA Family 4 data are sufficiently plausible to estimate conventional and optimal aircraft performance. Results also denote that seasonal weather conditions have a significant impact on trajectory optimization and the proposed trajectory optimizer is capable of generating optimal trajectories with arrival time and airspace constraints through strategic tradeoffs between the performance indexes. Quantitative evaluations indicate that 4D TBO operations with strategic operational constraints would be a potential solution to meet the future challenges in the Japanese air transportation system.
机译:在未来的空中交通管理系统中克服挑战和满足需求,需要有效措施。日本民航局建立的“克拉”路线图强调了将4D轨迹基于轨迹的行动(TBO)概念应用于日本空域的重要性。本文提供了一个框架,用于审查日本空域中此类系统的可行性。作者开发的基于动态编程方法的轨迹优化器工具用于调查潜在的益处(主要是燃料消耗和飞行时间),并根据基于各种雷达监控数据的各种操作系统的分散,公开分布为“克拉公开”数据'。通过考虑日本气象学局和贝达家族4飞机性能模型数据,通过从欧元管从欧元管的绩效估算中考虑来自欧元管的欧洲电力的数字天气预报模型数据,审查了天气条件和飞机性能模型数据的影响。获得的结果表明,气象预测数据和BADA系列4数据足以估计传统和最佳的飞机性能。结果还表示季节性天气条件对轨迹优化产生重大影响,并且所提出的轨迹优化器能够通过性能指标之间的战略权衡来生成最佳轨迹,通过战略权衡来实现抵达时间和空域限制。定量评估表明,4D与战略业务限制的TBO业务将是满足日本航空运输系统未来挑战的潜在解决方案。

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