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A dynamic control method for extended arrival management using enroute speed adjustment and route change strategy
Transportation Research Part C: Emerging Technologies ( IF 7.6 ) Pub Date : 2023-02-27 , DOI: 10.1016/j.trc.2023.104064
Ying Huo , Daniel Delahaye , Mohammed Sbihi

The continuous growth of air traffic leads to congestion in the surrounding area of airport. The optimization of the air traffic in this area requires the improvement of management strategies, especially for the arrival air traffic. SESAR has proposed the concept of Extended-Arrival MANagement (E-AMAN), which aims to plan the arrival streams from an earlier stage in order to achieve delay absorption and earlier planning in the en-route phases of flights. Based on this concept, we address a dynamic/on-line air traffic control problem to provide control decisions for flights in order to achieve safety and efficiency during arrival. The dynamic feature is realized by periodically updating the flight information for aircraft trajectory predictions. Sub-problems corresponding to each information update are established. The objective of this problem is to minimize the weighted sum of route congestion and the conflict resolution workload in the enroute segment, and the number of conflicts in the TMA (Terminal Maneuvering Area). A dynamic weight assignment approach is applied for ensuring that as an aircraft get closer to the TMA, its weight for TMA metrics increases accordingly. A case study based on the arrival traffic of the Paris Charles de Gaulle (CDG) airport is investigated by using a meta-heuristic simulated annealing algorithm combined with the rolling horizon approach. Final results are analyzed in terms of the reduction of concerned safety issues, final control decision distribution, and the time transferred through enroute decision change.



中文翻译:

基于航路速度调整和航线变更策略的延期进港管理动态控制方法

空中交通量的持续增长导致机场周边地区拥堵。该地区空中交通的优化需要改进管理策略,尤其是进场空中交通。SESAR提出了延期进港管理(E-AMAN)的概念,旨在更早地规划进港流,以实现航班在航路阶段的延误吸收和提前规划。基于这个概念,我们解决了一个动态/在线空中交通管制问题,为航班提供控制决策,以实现到达期间的安全和效率。动态特征是通过定期更新飞机轨迹预测的飞行信息来实现的。建立每次信息更新对应的子问题。该问题的目标是最小化航路段的航线拥塞和冲突解决工作量的加权和,以及TMA(终端机动区)中的冲突数量。应用动态权重分配方法以确保当飞机靠近 TMA 时,其 TMA 指标的权重会相应增加。通过使用元启发式模拟退火算法结合滚动水平方法,研究了基于巴黎戴高乐 (CDG) 机场到达流量的案例研究。从相关安全问题的减少、最终控制决策分配和航路决策变更转移的时间等方面分析了最终结果。以及 TMA(终端机动区)中的冲突数量。应用动态权重分配方法以确保当飞机靠近 TMA 时,其 TMA 指标的权重会相应增加。通过使用元启发式模拟退火算法结合滚动水平方法,研究了基于巴黎戴高乐 (CDG) 机场到达流量的案例研究。从相关安全问题的减少、最终控制决策分配和航路决策变更转移的时间等方面分析了最终结果。以及 TMA(终端机动区)中的冲突数量。应用动态权重分配方法以确保当飞机靠近 TMA 时,其 TMA 指标的权重会相应增加。通过使用元启发式模拟退火算法结合滚动水平方法,研究了基于巴黎戴高乐 (CDG) 机场到达流量的案例研究。从相关安全问题的减少、最终控制决策分配和航路决策变更转移的时间等方面分析了最终结果。通过使用元启发式模拟退火算法结合滚动水平方法,研究了基于巴黎戴高乐 (CDG) 机场到达流量的案例研究。从相关安全问题的减少、最终控制决策分配和航路决策变更转移的时间等方面分析了最终结果。通过使用元启发式模拟退火算法结合滚动水平方法,研究了基于巴黎戴高乐 (CDG) 机场到达流量的案例研究。从相关安全问题的减少、最终控制决策分配和航路决策变更转移的时间等方面分析了最终结果。

更新日期:2023-02-27
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