ERASMUS: a new path for 4d trajectory-based enablers to reduce the traffic complexity

Gawinowski, Gilles; Garcia, J.-L.; Guerreau, R.; Weber, R.; Brochard, M.

doi:10.1109/dasc.2007.4391819

Cited by 10 publications

(5 citation statements)

References 4 publications

(6 reference statements)

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“…The spacing requirement is in accordance to previous reports that note controller intervention and spacing of aircraft [21], [32].…”

Section: A Simulation Methodologysupporting

confidence: 87%

“…These actions reduce both the number of conflicts that controllers must resolve and the number of aircraft that they actively monitor, thereby reducing their workload. There exist numerous publications related to the ERASMUS project and subliminal control [21]- [23]. However, similar to previous automated control research, the realization of subliminal control requires advanced communication and navigation subsystems to be in place.…”

Section: Introductionmentioning

confidence: 99%

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Formulation of Reduced-Taskload Optimization Models for Conflict Resolution

Vela

Feigh

Solak

et al. 2012

IEEE Trans. Syst., Man, Cybern. A

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This paper explores methods to include aspects of controller taskload into conflict-resolution programs through a parametric approach. We are motivated by the desire to create conflict-resolution decisionsupport tools that operate within a human-in-the-loop control architecture by actively accounting for, and moderating, controller taskload. Specifically, we introduce two conflict-resolution programs with the objective of managing controller conflict-resolution taskload, i.e., the number of maneuvers used to separate air traffic. Managing conflict-resolution taskload is accomplished by penalizing aircraft maneuvers through their L 1 norm in the cost function or constraining the number of maneuvers directly. Analysis of the programs reveals that both approaches are successful at managing controller conflict-resolution taskload and minimizing fuel burn. Directly constraining conflict-resolution taskload is more successful at minimizing the variation in the number of aircraft maneuvers issued and returning the aircraft to their desired exit point. Penalizing maneuvers through L 1 norm costs is more successful at reducing controller conflict-resolution taskload at lower traffic volumes. Ultimately, results demonstrate that the inclusion of such parametric models can successfully regulate controller conflict-resolution taskload.

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“…The spacing requirement is in accordance to previous reports that note controller intervention and spacing of aircraft [21], [32].…”

Section: A Simulation Methodologysupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Formulation of Reduced-Taskload Optimization Models for Conflict Resolution

Vela

Feigh

Solak

et al. 2012

IEEE Trans. Syst., Man, Cybern. A

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show abstract

“…Note that the conflict-free speed vector resulting in the smallest speed change was selected for conflict avoidance. Speed-only resolution has been previously explored with flight-level assignments in [8,[38][39][40]. Results show that speed-only conflict resolution is only efficient when aircraft in conflict have similar headings.…”

Section: Conflict Resolution With Speed Variationmentioning

confidence: 99%

“…Independently of the airspace structure, the efficiency of the speed-only based conflict resolution model was expected to deteriorate as the traffic density increased. Existing research [38,39] shows that the efficiency of speedonly resolution depends on the nominal minimal separation between the aircraft and on the time available to the loss of separation. As traffic density increases, the space between the aircraft is expected to reduce, and consequently, so is the time to loss of separation.…”

Section: Experiment: Experimental Hypotheses 71 Speed-only Conflict Resolutionmentioning

confidence: 99%

Velocity Obstacle Based Conflict Avoidance in Urban Environment with Variable Speed Limit

Ribeiro

Ellerbroek

2021

Aerospace

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Current investigations into urban aerial mobility, as well as the continuing growth of global air transportation, have renewed interest in conflict detection and resolution (CD&R) methods. The use of drones for applications such as package delivery, would result in traffic densities that are orders of magnitude higher than those currently observed in manned aviation. Such densities do not only make automated conflict detection and resolution a necessity, but will also force a re-evaluation of aspects such as coordination vs. priority, or state vs. intent. This paper looks into enabling a safe introduction of drones into urban airspace by setting travelling rules in the operating airspace which benefit tactical conflict resolution. First, conflicts resulting from changes of direction are added to conflict resolution with intent trajectory propagation. Second, the likelihood of aircraft with opposing headings meeting in conflict is reduced by separating traffic into different layers per heading–altitude rules. Guidelines are set in place to make sure aircraft respect the heading ranges allowed at every crossed layer. Finally, we use a reinforcement learning agent to implement variable speed limits towards creating a more homogeneous traffic situation between cruising and climbing/descending aircraft. The effects of all of these variables were tested through fast-time simulations on an open source airspace simulation platform. Results showed that we were able to improve the operational safety of several scenarios.

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“…As a result, some of the work of air traffic controllers can be automated thus reducing their workload. Research such as the ERASMUS project [50] and Chaloulos [51] show that, although for simple two-aircraft situations subliminal control can reduce the workload of air traffic controllers, its efficiency depends on the nominal minimal separation between the aircraft and on the time available to loss of separation. Conflict resolution based on speed change alone is naturally only possible with non-(near-)head-on conflicts.…”

Section: Avoidance Manoeuvrementioning

confidence: 99%

Review of Conflict Resolution Methods for Manned and Unmanned Aviation

2020

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Current investigations into urban aerial mobility, as well as the continuing growth of global air transportation, have renewed interest in Conflict Detection and Resolution (CD&R) methods. With the new applications of drones, and the implications of a profoundly different urban airspace, new demands are placed on such algorithms, further spurring new research. This paper presents a review of current CR methods for both manned and unmanned aviation. It presents a taxonomy that categorises algorithms in terms of their approach to avoidance planning, surveillance, control, trajectory propagation, predictability assumption, resolution manoeuvre, multi-actor conflict resolution, considered obstacle types, optimization, and method category. More than a hundred CR methods were considered, showing how most work on a tactical, distributed framework. To enable a reliable comparison between methods, this paper argues that an open and ideally common simulation platform, common test scenarios, and common metrics are required. This paper presents an overview of four CR algorithms, each representing a commonly used CR algorithm category. Both manned and unmanned scenarios were tested, through fast-time simulations on an open-source airspace simulation platform.

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ERASMUS: a new path for 4d trajectory-based enablers to reduce the traffic complexity

Cited by 10 publications

References 4 publications

Formulation of Reduced-Taskload Optimization Models for Conflict Resolution

Formulation of Reduced-Taskload Optimization Models for Conflict Resolution

Velocity Obstacle Based Conflict Avoidance in Urban Environment with Variable Speed Limit

Review of Conflict Resolution Methods for Manned and Unmanned Aviation

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