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EUROCONTROL EXPERIMENTAL CENTRE1 / 29/06/2016 Raphaël CHRISTIEN Network Capacity & Demand Management 5 th USA/Europe ATM 2003 R&D seminar 23 rd -27 th June 2003 ATC Complexity Indicators & ATC Sectors Classification
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EUROCONTROL EXPERIMENTAL CENTRE2 / 29/06/2016 Outline Introduction Workload and Complexity ATC complexity indicators ATC sectors classification : methods Results Conclusions and future work
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EUROCONTROL EXPERIMENTAL CENTRE3 / 29/06/2016 Introduction Goal of an air traffic organisation : ensure safety while satisfying demand The air traffic controller must not be overloaded Demand cannot be always satisfied
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EUROCONTROL EXPERIMENTAL CENTRE4 / 29/06/2016 Controller’s Work 2 groups of tasks Single aircraft tasks Coordination Monitoring …… Aircraft interaction tasks Conflict search Conflict resolution ……
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EUROCONTROL EXPERIMENTAL CENTRE5 / 29/06/2016 Macroscopic Workload Model Workload for single aircraft tasks wlFL x FLs wlFL : average workload for single aircraft tasks per flight FLs : number of flights
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EUROCONTROL EXPERIMENTAL CENTRE6 / 29/06/2016 Macroscopic Workload Model Workload for interactions aircraft tasks wlINT x INTs wlINT : average workload for interactions aircraft tasks per interaction INTs : number of interactions
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EUROCONTROL EXPERIMENTAL CENTRE7 / 29/06/2016 Macroscopic Workload Model Controller’s workload macroscopic evaluation WL= wlFL x FLs + wlINT x INTs
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EUROCONTROL EXPERIMENTAL CENTRE8 / 29/06/2016 Macroscopic Workload Model wlFL and wlINT have to be split into 2 parts Operational part (radio tasks,...) Complexity part (lot of traffic mix,...) wlFL= wlFLop + wlFLcplx wlINT= wlINTop + wlINTcplx The higher wlFLcplx and wlINTcplx are, the higher impact of complexity is.
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EUROCONTROL EXPERIMENTAL CENTRE9 / 29/06/2016 Impact of Complexity : Example In a high complexity sector : workload increases faster with the number of flights Complexity is higher in the red sector than in the yellow one
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EUROCONTROL EXPERIMENTAL CENTRE10 / 29/06/2016 Global Complexity Definition A system is complex if It contains more than one element AND These elements interact together ATC sector system example If there is only one aircraft within the ATC sector Few interactions between aircraft Complexity is very low
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EUROCONTROL EXPERIMENTAL CENTRE11 / 29/06/2016 Global Complexity Definition Measuring the complexity of a system The more parts the system contains The more different interactions between its elements The more complex the system is.
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EUROCONTROL EXPERIMENTAL CENTRE12 / 29/06/2016 ATC Complexity Indicators
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EUROCONTROL EXPERIMENTAL CENTRE13 / 29/06/2016 Sector Complexity : Evaluation Evaluate each sectors complexity with Single aircraft complexity indicators Interactions complexity indicators Validation by operational experts
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EUROCONTROL EXPERIMENTAL CENTRE14 / 29/06/2016 Complexity Indicators : Single Aircraft Number and type of flights by time period (entry, presence) Amount of climbing/descending traffic Military activity Proximity of a centre boundary
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EUROCONTROL EXPERIMENTAL CENTRE15 / 29/06/2016 Complexity Indicators : Interactions Multiple crossing points Number and type of conflicts Small angle convergence routes Separation standards Aircraft performance mix (jets, props...) Density
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EUROCONTROL EXPERIMENTAL CENTRE16 / 29/06/2016 Complexity Indicators Analysis Each sector is described by its list of complexity indicators : (Fl, crossing,...) Large amount of data
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EUROCONTROL EXPERIMENTAL CENTRE17 / 29/06/2016 Complexity Indicators Analysis Organise the data set Extract and keep only interesting parts Enable an unambiguous interpretation of complexity Discover typical complexity structures : categorisation of sectors Allow to target specific groups of sectors
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EUROCONTROL EXPERIMENTAL CENTRE18 / 29/06/2016 ATC Sectors Classification
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EUROCONTROL EXPERIMENTAL CENTRE19 / 29/06/2016 Classification Classification : Find a way to divide the sectors into homogeneous classes (categories) These classes have to be different A large problem : the number of possible outcomes to test is huge! For 25 elements, 4E18 possible combinations! Need to use approximate methods
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EUROCONTROL EXPERIMENTAL CENTRE20 / 29/06/2016 Divisive Classification Unsupervised method No previously defined classes No predefined number of classes Hierarchical method Gives a binary tree structure on data Tree enables easy interpretation Divisive: tree built from root
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EUROCONTROL EXPERIMENTAL CENTRE21 / 29/06/2016 Divisive Classification Method Start with single root cluster representing all sectors Split the root cluster into 2 leaf clusters Recursively split each leaf cluster into 2 sub-clusters. Stop when ‘stopping condition’ satisfied
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EUROCONTROL EXPERIMENTAL CENTRE22 / 29/06/2016 A Binary Decision Tree (n=700) ROOT CLUSTER (n=300) FIRST LEAF (n=400) SECOND LEAF A B CD
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EUROCONTROL EXPERIMENTAL CENTRE23 / 29/06/2016 DIVAF Method : Split Criterion Each split is divided by one complexity indicator : That shows a strong differential distribution within a group and serves to distinguish between different sub-groups. We use principal component analysis (PCA) to detect such indicators. If many indicators are detected, operational advice is needed
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EUROCONTROL EXPERIMENTAL CENTRE24 / 29/06/2016 A DIVAF Binary Decision Tree (n=700) Conflicts Route length (n=400) Route Length Centre boundary Conflicts (n=300) Aircraft mix A BCD High Low Indicator chosen by expert
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EUROCONTROL EXPERIMENTAL CENTRE25 / 29/06/2016 DIVAF PCA Sectors are described in N dimensions with N the number of complexity indicators. We reduce this dimension by PCA in 2D (projection that preserved distance best between sectors’ points) If 2 sectors’ points are near together then they probably share similar complexity.
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EUROCONTROL EXPERIMENTAL CENTRE26 / 29/06/2016 DIVAF PCA
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EUROCONTROL EXPERIMENTAL CENTRE27 / 29/06/2016 DIVAF Stop The DIVAF algorithm stops when It does not find any complexity indicator strongly linked with PC1 for any cluster. All clusters are small enough
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EUROCONTROL EXPERIMENTAL CENTRE28 / 29/06/2016 Results : Experience European traffic of 04/09/00 ATFM simulator Statistical tools Experts operational advice
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EUROCONTROL EXPERIMENTAL CENTRE29 / 29/06/2016 Results : Geographical Location Low conflicts Mostly cruising flights Upper sectors Class 1
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EUROCONTROL EXPERIMENTAL CENTRE30 / 29/06/2016 Results : Geographical Location Class 2 Low conflicts Performance mix
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EUROCONTROL EXPERIMENTAL CENTRE31 / 29/06/2016 Results : Geographical Location Class 3 Lot of conflicts Medium climbing /descending traffic
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EUROCONTROL EXPERIMENTAL CENTRE32 / 29/06/2016 Results : Geographical Location Class 4 Lot of conflicts Traffic mix Climbing/Descending
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EUROCONTROL EXPERIMENTAL CENTRE33 / 29/06/2016 Using the Classes We can improve some workload models by specialising them using the typology obtained previous step We will compare model values to CFMU reference values
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EUROCONTROL EXPERIMENTAL CENTRE34 / 29/06/2016 Conclusion These methods can be used ‘as is’ with new indicators They prove useful Field of application is large Improvement of workload models Evaluation of future airspace designs ...
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