27 June 20031 Traffic Flow Optimisation Rapporteur: Nicolas Durand, CENA.

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27 June Traffic Flow Optimisation Rapporteur: Nicolas Durand, CENA

27 June Thanks Thanks to the reviewers –Tom Edwards –George Donohue –Heinz Winter Thanks to the chairmen –Jean-Marc Pomeret –Alain Printemps A special thanks to Christian, Sabrina and Catherine

27 June out of 16 papers accepted 4 papers from Europe –Eurocontrol (EEC)/Transim/Modis International/Neosys –Eurocontrol (EEC)/Université Technologique de Compiegne (UTC) (2 papers) –NLR 4 papers from USA –Metron Aviation/University of Colorado/University of Maryland –Boeing ATM –Metron / FAA –NASA (ARC) 1 Europe-USA paper: FAA/ISA Software

27 June Participation to presentations

27 June Themes covered Analysis of the existing system & behaviors A study of the NAS Behavior (ETMS Scheduled Route Errors) higher view of the NAS system (get away from tools) debate on the prediction accuracy problem Comparison between “pilot models” and “humans” in an autonomous aircraft environment. Effects of human in the loop (complex conflicts) debate on the conditions of the experiments (low participation, toy problems)

27 June Ground Delay & Equity limit inequities rising from exempted flights and mitigate the resulting bias questions on uncertainties, acceptation by airlines, extension to holding Route & flight level assignment limit the number of conflicts by optimising the route and flight level. Good modeling and strong algorithm. Connexions with telecom problems questions on uncertainties, sector capacity respect, cost criteria, overtaking aircraft Themes covered

27 June Airline Schedule Recovery Precise modeling of the problem, experiments on a simplified environment & on real data Questions on the algorithm used, the complexity, assumptions Sectorization optimization with constraints CSP modeling of the Sector design problem. Questions on constraints assumptions, sensitivity to parameters, 3D extension Conceptual approach of SuperSectors A new organization of controllers’ tasks to optimize capacity Debate on the role of each layer, efficiency of control by exception Themes covered

27 June Themes covered Trajectory Optimization Real Time Conflict-Free Trajectory Optimization Based on the sparse aispace assumption, perturb the unconstrainted trajectory using a conflict grid. Questions on uncertainties on detection & resolution, how often should the optimization be updated Dynamic Re-routing RAMS algorithm on US data, trajectory rerouting when delay is important enough. Questions on the OPGEN algorithm, partial information influence on result, uncertainties impacts

27 June Algorithms used CSP (Constraint Satisfactory Programming) Integer Linear Programming Optimal Control Techniques Lagrangian Relaxation techniques Genetic Algorithms (OPGEN) Modified Voltage Potential methods...

27 June Rapporteur’s comments

27 June Still different environments USA –1 constraint/bottleneck at a time (Ground delay & equity) –Mostly airport & weather problems (Dynamic rerouting, airline schedule recovery) –En route capacity not crucial (Real time conflict free) –Equity is already an issue (Ground delay & equity) Europe –Several constraints at a time (Route & FL assignment) –Mostly en-route problems (Route & FL assignment, optimized sectorization) –High densities (bots/human comparison) But a better understanding of each others’ problems

27 June Impact on the optimisation methods USA –Easier to separate problems –Local optimisation methods –Longer horizon (optimisation of the full trajectory) Europe –Global treatment of problems –Combinatorial optimisation –Shorter horizons

27 June Shared concerns (1) You cannot optimize without a proper description of the context Quality of the optimization relies on valid assumptions  Difficult to enter the ATM world for “newcomers”  Need for specific community efforts

27 June There is a need of accurate prediction (for each presentation questions on uncertainties) –Trajectory prediction –Flight information, weather forecast accuracy  Eliminate uncertainties or deal with them?  Stochatic model or exact model ?  Where is the trade-off (uncertainty-time horizon) ? Shared concerns (2)

27 June Rapporteur’s recommandations

27 June To authors Scientific Approach –need to explain more precisely what is behind algorithms (no progress possible with « proprietary approaches » or « blackboxes ») –An opinion is not a proof (be careful with conclusions) Need for details on –assumptions, parameters –algorithm complexity, computing time Bibliography –improve :-) Some papers still rather poor on bibliography

27 June To the ATM R&D community: –Necessary steps towards better collaborations Share data, benchmarks or even “toy problems” Cross-test results on each-other’s simulators To the R&D Committee: –Give more information to the authors when their papers are rejected –Improve paper allocations to the tracks. –Encourage more collaboration with Universities Recommandations

27 June We move forward (but very slowly ? ) –Some very complete state of the art in papers with mixed references of what is done both sides –The ATM R&D Proceedings are widely used The evolution since Saclay 97 is important –As an example: thanks to previous ATM R&D Seminar, we expect to present results of comparisons on Traffic complexity using US & European data with the same tool at the next ATM R&D Seminar My conclusions

27 June Back to work !