Traffic Flow Optimisation Rapporteur: Nicolas Durand, CENA

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Presentation transcript:

Traffic Flow Optimisation Rapporteur: Nicolas Durand, CENA 27 June 2003

Thanks Thanks to the reviewers Thanks to the chairmen 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 2003

9 out of 16 papers accepted 4 papers from Europe 4 papers from USA 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 2003

Participation to presentations 27 June 2003

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 2003

Themes covered Ground Delay & Equity Route & flight level assignment 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 27 June 2003

Themes covered 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 27 June 2003

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 2003

Algorithms used CSP (Constraint Satisfactory Programming) Integer Linear Programming Optimal Control Techniques Lagrangian Relaxation techniques Genetic Algorithms (OPGEN) Modified Voltage Potential methods ... 27 June 2003

Rapporteur’s comments 27 June 2003

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 2003

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 2003

You cannot optimize without a proper description of the context 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 2003

Eliminate uncertainties or deal with them? Shared concerns (2) 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) ? 27 June 2003

Rapporteur’s recommandations 27 June 2003

To authors Scientific Approach Need for details on Bibliography 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 2003

To the ATM R&D community: Recommandations 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 27 June 2003

My conclusions 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 27 June 2003

Back to work ! 27 June 2003