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Optimization of military missions impact on civilian 4D trajectories


Flying is the fastest and one of the safest methods of transport. Air traffic is increasing constantly and according to statistics from ICAO and aviation industry, approximately every 15 years traffic is doubling and as the consequence the airspace becomes more and more congested. In order to cope with the increase and to improve safety, air traffic management system will rely on a so-called trajectory based operations concept that will increase air traffic capacity by reducing the controllers workload. In addition to the increase of traffic of civil aviation, we have to take into consideration requirements from military operations and their needs for missions in the airspace. In order to fulfill military mission requests, we shall minimize its impact into civil aviation whenever possible. This will be achieved by transferring tactical conflict detection and resolution tasks to the planning phase. In this future air traffic management paradigm context, this paper presents a methodology to address such military missions planning. The proposed methodology aims at minimizing the interaction of trajectories of military missions into civilian trajectories. Results that we gain through this methodology are by allocating alternative departure times, alternative horizontal flight paths, and alternative flight levels to the military missions involved in the interaction. This paper presents a mathematical formulation of this mission trajectory planning problem leading to a mixed-integer optimization problem, whose objective function relies on the new concept of interaction between trajectories. A computationally efficient algorithm to compute interaction between military missions trajectories with minimal impact into civilian trajectories for large-scale applications is presented. Resolution method based on simulated annealing algorithm have been developed to solve the above optimization problems. Finally, the methodology is implemented and tested with military missions planed to occur in real air traffic data taking into account uncertainty over the French airspace. Mission conflict-free and robust 4D trajectory planning are produced within computational time acceptable for the operation context, which shows the viability of the approach.
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Dates et versions

hal-01637956 , version 1 (18-11-2017)


  • HAL Id : hal-01637956 , version 1


Arianit Islami, Supatcha Chaimatanan, Moaxi Sun, Daniel Delahaye. Optimization of military missions impact on civilian 4D trajectories. EIWAC 2017, 5th ENRI international workshop on ATM/CNS, Nov 2017, Tokyo, Japan. ⟨hal-01637956⟩
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