稳健性(进化)
计算机科学
空中交通管理
弹道
冲突解决
冲突管理
运筹学
过程管理
风险分析(工程)
蒙特卡罗方法
空中交通管制
工程类
业务
统计
数学
社会科学
生物化学
化学
物理
天文
社会学
政治学
法学
基因
航空航天工程
作者
Wallace Silva Sant’Anna Souza,Mayara Condé Rocha Murça
标识
DOI:10.1109/dasc58513.2023.10311166
摘要
Strategic conflict management is a key service considered in novel systems being designed in support of Advanced Air Mobility (AAM) operations. This paper presents a simulation framework to analyze the operational performance of strategic conflict management solutions under uncertainty. The framework embeds a conflict detector, a 4D trajectory generator for recommending alternative trajectory options that avoid known airspace constraints at the time of planning as well as an optimizer for demand-capacity balancing. Monte Carlo experiments are performed to simulate disturbances in the execution of aircraft trajectories that are strategically managed prior to departure under different scenarios of conflict management service design. The simulation results emphasize the importance of designing flexible and robust solutions that can handle multiple trajectory options, integrate conflict resolution mechanisms, and account for uncertainties. With an appropriate level of robustness, the proposed strategic conflict management solution was able to mitigate more than 95% of the conflicts, even in the presence of operational uncertainty, while still providing a significant reduction in delay costs.
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