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Airspace congestion smoothing by stochastic optimization [chapter]

Daniel Delahaye, Amedeo R. Odoni
1997 Lecture Notes in Computer Science  
Airspace congestion smoothing by stochastic optimization. EP 97, 6th International Conference on Evolutionary Programming, Apr 1997, Indianapolis, United States.  ...  Airspace congestion smoothing by stochastic optimization Daniel Delahaye, Amedeo Odoni To cite this version: Daniel  ... 
doi:10.1007/bfb0014809 fatcat:paj6m4qcivehbm3vgjxhvtpv2m

Approaches for stochastic safety analysis arising in ATM application

Muna Al Basman, Jianghai Hu
2012 2012 IEEE 51st IEEE Conference on Decision and Control (CDC)  
in the airspace within a period of time.  ...  This paper studies the stochastic safety analysis and resolution problems for Air Traffic Management (ATM) systems.  ...  CONFLICT/CONGESTION DETECTION APPROACHES In ATM literature as well as in this paper, aircraft dynamics are modeled by stochastic differential equations [15] , and many solution methods of the stochastic  ... 
doi:10.1109/cdc.2012.6425947 dblp:conf/cdc/Al-BasmanH12 fatcat:eodo6qpnendzlc66plpm6n4ysq

Airspace congestion smoothing by multi-objective genetic algorithm

Delahaye Daniel, Sofiane Oussedik, Puechmorel Stephane
2005 Proceedings of the 2005 ACM symposium on Applied computing - SAC '05  
The first results show that our approach is able to reduce congestion of the French airspace by a factor 2.  ...  airspace, in order to minimize the associated congestion and the induced delay .  ...  This will ensure that the random point generated in the state domain by the stochastic optimization process will always satisfy the connection constraint.  ... 
doi:10.1145/1066677.1066887 dblp:conf/sac/DanielOS05 fatcat:bel6a6x5wzhzzj73vcd2fgq6wy

Strategic Planning in Air Traffic Control as a Multi-objective Stochastic Optimization Problem [article]

Gaétan Marceau, Pierre Savéant, Marc Schoenauer
2013 arXiv   pre-print
Then, the probability of congestion for any sector in the airspace can be computed.  ...  Since air traffic regulations and sector congestion are antagonist, we designed and implemented a multi-objective optimization algorithm for determining the best trade-off between these two criteria.  ...  [13] uses stochastic optimization methods for handling sector congestion with takeoff delays and rerouting. Constraint programming was also used by [14] and [15] .  ... 
arXiv:1309.3917v1 fatcat:wgaawatgiffrzotfxqh46xt32q

Multiobjective Tactical Planning under Uncertainty for Air Traffic Flow and Capacity Management [article]

Gaétan Marceau, Pierre Savéant, Marc Schoenauer
2013 arXiv   pre-print
Furthermore, a multiobjective algorithm is used to find the tradeoff between the delays and congestion, which are antagonist in airspace with high traffic density.  ...  Therefore, we can model the accuracy of the trajectory prediction in the optimization process in order to fix some safety margins.  ...  This would create a smooth transition between both phases.  ... 
arXiv:1309.4085v1 fatcat:23e3hqgmf5czrffghaugh63szy

Multiobjective tactical planning under uncertainty for air traffic flow and capacity management

Gaetan Marceau Caron, Pierre Saveant, Marc Schoenauer
2013 2013 IEEE Congress on Evolutionary Computation  
Furthermore, a multiobjective algorithm is used to find the tradeoff between the delays and congestion, which are antagonist in airspace with high traffic density.  ...  Therefore, we can model the accuracy of the trajectory prediction in the optimization process in order to fix some safety margins.  ...  This would create a smooth transition between both phases.  ... 
doi:10.1109/cec.2013.6557746 dblp:conf/cec/CaronSS13 fatcat:mweckf2kgjcspntp5bfcnkgajy

Homotopy Route Generation Model for Robust Trajectory Planning [chapter]

Andrija Vidosavljevic, Daniel Delahaye, Vojin Tosic
2017 Lecture Notes in Electrical Engineering  
RTP problem is modeled as a mixed-variable optimization problem and it is solved using stochastic optimization technique. The model is tested on a real-life example from the French airspace.  ...  In this article we investigate potential of robust trajectory planning, considered as an additional demand management action, as a mean to alleviate the en-route congestion in airspace.  ...  ACKNOWLEDGMENTS The research of this work has been supported by research grants of the Ministry of Science and Technological Development, Republic of Serbia, through projects of the Faculty of Transport  ... 
doi:10.1007/978-4-431-56423-2_4 fatcat:vlpgl65gvnaczisnuvbusph4we

Static sectorization approach to dynamic airspace configuration using approximate dynamic programming

Sameer Kulkarni, Rajesh Ganesan, Lance Sherry
2011 2011 Integrated Communications, Navigation, and Surveillance Conference Proceedings  
This paper is a proof of concept for the Approximate Dynamic Programming (ADP) approach to Dynamic Airspace Configuration (DAC) by static sectorization.  ...  The objective of this paper is to address the issue of static sectorization by partitioning airspace based on controller workload i.e. airspace is partitioned such that the controller workload is balanced  ...  Optimal Control And Approximate Dynamic Programming (ADP) Stochastic approximation methods have been proved effective for control of non-linear dynamic systems.  ... 
doi:10.1109/icnsurv.2011.5935295 fatcat:uwh6fojyu5avffjjlbtsyyuica

Integrated Control of Airport and Terminal Airspace Operations

Harshad Khadilkar, Hamsa Balakrishnan
2016 IEEE Transactions on Control Systems Technology  
Published arrival routes to airports are synthesized in order to form a realistic model of arrival airspace.  ...  The proposed control framework calculates the optimal times of departure of aircraft from the gates, as a function of the arrival and departure traffic as well as airport characteristics such as taxiway  ...  The economic and environmental impacts of airspace and airport congestion are borne by the passengers, the airlines, and society as a whole.  ... 
doi:10.1109/tcst.2015.2424922 fatcat:girnfvfveffn5enxj3vcctq5da

Review on meta-heuristics approaches for airside operation research

K.K.H. Ng, C.K.M. Lee, Felix T.S. Chan, Yaqiong Lv
2018 Applied Soft Computing  
This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ order, complex and stochastic combinatorial problem, or even real-life CO applications  ...  of local optimal trapping [13] .  ...  The research is supported by The Hong Kong Polytechnic University.  ... 
doi:10.1016/j.asoc.2018.02.013 fatcat:fvpq3pblwjbghdtdxi5a6sh73e

Optimisation models for re-routing air traffic flows in Europe

P Leal de Matos, B Chen, R J Ormerod
2001 Journal of the Operational Research Society  
The models are tested on a set of test data based on the actual traffic crossing the whole French upper airspace.  ...  As expected, flow re-routings smooth congestion peaks and, in general, there is not much difference between DELINT2, DELINT1 and BALDIST in smoothing congestion peaks both by sector and time interval.  ...  The models differ in the level of detail and in the congestion cost functions used. Note that these models are not intended for real-time optimal assignment of aircrafts by air traffic controllers.  ... 
doi:10.1057/palgrave.jors.2601224 fatcat:6gwvgkrvczbtlncrr6chx5rxe4

A Generic Framework for Modeling Airport Operations At A Macroscopic Level

Paolo Scala, Miguel Mujica, Daniel Delahaye, Ji Ma
2019 2019 Winter Simulation Conference (WSC)  
The framework can be used by practitioners for simulating complex systems like airspace-airside operations or multi-airport systems.  ...  The aim of this paper, is to overcome this limitation by presenting a methodological approach where airport operations are modeled together, such as airspace and airside.  ...  The output of the model is related to the evaluation of the system performance in terms of congestion. The outputs used are: congestion level in the airspace and congestion level on the airside.  ... 
doi:10.1109/wsc40007.2019.9004865 dblp:conf/wsc/ScalaMDM19 fatcat:tzjv5bae5vg7njzubophhrf42i

A Scalable Methodology for Evaluating and Designing Coordinated Air-Traffic Flow Management Strategies Under Uncertainty

Yan Wan, S. Roy
2008 IEEE transactions on intelligent transportation systems (Print)  
As congestion in the United States National Airspace System (NAS) increases, coordination of en route and terminalarea traffic flow management procedures is becoming increasingly necessary, in order to  ...  We conclude the discussion by posing a tractable NAS-wide flow management problem, using a simple algebraic model for a restriction.  ...  Lower: An optimal restriction topology for a network with five congested regions-dark shading indicates a strong restriction, and light shading a weak one.  ... 
doi:10.1109/tits.2008.2006813 fatcat:jq2hpfl6cvbm7bxefqabk2ouje

Estimating Flight Departure Delay Distributions—A Statistical Approach With Long-Term Trend and Short-Term Pattern

Yufeng Tu, Michael O Ball, Wolfgang S Jank
2008 Journal of the American Statistical Association  
Such distributions are required by air traffic congestion prediction models.  ...  In order to overcome problems with local optima in the mixture distribution, we develop a global optimization version of the Expectation Maximization algorithm borrowing ideas from Genetic Algorithms.  ...  Airspace sectors are three-dimensional volumes of airspace managed by a single team of controllers.  ... 
doi:10.1198/016214507000000257 fatcat:r4ymfaihkrftpks6bjovoa2ysm

Estimating Flight Departure Delay Distributions - A Statistical Approach With Long-Term Trend and Short-Term Pattern

Yufeng Tu, Michael O. Ball, Wolfgang Jank
2005 Social Science Research Network  
Such distributions are required by air traffic congestion prediction models.  ...  In order to overcome problems with local optima in the mixture distribution, we develop a global optimization version of the Expectation Maximization algorithm borrowing ideas from Genetic Algorithms.  ...  Airspace sectors are three-dimensional volumes of airspace managed by a single team of controllers.  ... 
doi:10.2139/ssrn.923628 fatcat:alvk4tfvlbgtpexi2htj3z6nlm
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