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Entropy2016,9, 337
result is shownintherightpartofFigure4,whereencountersno longerexists,butaircraftarebound
tosimple trajectories,withamergingandasplittingpoint.Note that since theautomatedplanneracts
onvelocity,all aircraftareseparated in timeonthe innerpart.
(a) (b)
Figure4. (a) Initialflightplans; (b)Finalflightplans.
4.ConclusionsandFutureWork
Algorithms coming from thefieldof shape spaces emerge as avaluable tool for applications
inATM. In thiswork, the foundationsofapost-processingprocedure thatmaybeappliedafteran
automatedflightpathplannerarepresented. Entropyminimizationmakesstraightsegmentbundles
emerge,which fulfills theoperational requirements. Computational efficiencyhas tobe improved
inorder toreleaseausablebuildingblockfor futureATMsystems.Onewaytoaddress this issue is
to computekerneldensityestimatorsusingGPUs,whichexcel in thiskindof task, very similar to
texturemanipulations. Furthermore, statisticalproperties, suchas theoptimalchoiceof thebandwidth
parameter in thekernelestimation, shouldbeexplored inmoredetail in thenextstepof thiswork.
Another important point thatmust be addressed in futureworksdealswith theflight paths
that areverysimilar in shape, butareoriented inoppositedirections. As the spatialdensity isnot
sensitive to thedirectional information, the entropy-basedprocedurepresented in this paperwill
tend to aggregateflightpaths that shouldbe sufficiently separated inorder toprevent hazardous
encounters. In [13], anotionofdensitybasedonpositionandvelocity isdeveloped. Thisworkrelies
onLiegroupmodelingasaunifyingstate representation that takes intoaccount thedirectionandthe
positionof thecurves. Thecurvesystementropyhasbeenextendedto this setting.
AuthorContributions: StéphanePuechmorelhas conceived the theoretical aspectsof thiswork, aswell as to
the conceptionanddesignof the experiments; FlorenceNicol has contributed to review the theoretical tools.
Bothauthorshavecontributedtoanalyze thedataandtowrite thepaper. Bothauthorshavereadandapproved
thefinalmanuscript.
Conflictsof Interest:Theauthorsdeclarenoconflictof interest.
References
1. De Bondt, A.; Leleu, C. 7-Year IFR Flight Movements and Service Units Forecast Update: 2014–2020;
EUROCONTROL:Brussels,Belgium,2014.
2. Roussos,G.P.;Dimarogonas,D.V.;Kyriakopoulos,K.J. Distributed3Dnavigationandcollisionavoidance
fornonholonomicaircraft-likevehicles. InProceedingsof the2009EuropeanControlConference,Budapest,
Hungary,23–26August2009.
401
Differential Geometrical Theory of Statistics
- Title
- Differential Geometrical Theory of Statistics
- Authors
- Frédéric Barbaresco
- Frank Nielsen
- Editor
- MDPI
- Location
- Basel
- Date
- 2017
- Language
- English
- License
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03842-425-3
- Size
- 17.0 x 24.4 cm
- Pages
- 476
- Keywords
- Entropy, Coding Theory, Maximum entropy, Information geometry, Computational Information Geometry, Hessian Geometry, Divergence Geometry, Information topology, Cohomology, Shape Space, Statistical physics, Thermodynamics
- Categories
- Naturwissenschaften Physik