Impact of Off-Block Time Uncertainty on the Control of Airport Surface Operations

Congestion at major airports worldwide results in increased taxi times, fuel burn, and emissions. Regulating the pushback of aircraft from their gates, also known as departure metering, is a promis...

[1]  Mayara Condé Rocha Murça A robust optimization approach for airport departure metering under uncertain taxi-out time predictions , 2017 .

[2]  Thomas Vossen,et al.  Analysis of Demand Uncertainty Effects in Ground Delay Programs , 2001 .

[3]  Peeter Andrus Kivestu,et al.  Alternative methods of investigating the time dependent M/G/k queue , 1976 .

[4]  H. Balakrishnan,et al.  Deconstructing Delay Dynamics An air traffic network example , 2016 .

[5]  Tom G. Reynolds,et al.  Analysis of a Surface Congestion Management Technique at New York JFK Airport , 2011 .

[6]  Yi Liu Predictability Impacts of Airport Surface Automation , 2014 .

[7]  Alexandre M. Bayen,et al.  A diffusion approximation to a single airport queue , 2013 .

[8]  Hamsa Balakrishnan,et al.  Dynamic Control of Airport Departures: Algorithm Development and Field Evaluation , 2014, IEEE Transactions on Intelligent Transportation Systems.

[9]  Sandeep Badrinath,et al.  Integrated Surface–Airspace Model of Airport Departures , 2019, Journal of Guidance, Control, and Dynamics.

[10]  Hamsa Balakrishnan,et al.  Optimal control of airport pushbacks in the presence of uncertainties , 2016, 2016 American Control Conference (ACC).

[11]  Hamsa Balakrishnan,et al.  On the Probabilistic Modeling of Runway Inter-departure Times , 2013 .

[12]  Hamsa Balakrishnan,et al.  A Queuing Model of the Airport Departure Process , 2016, Transp. Sci..

[13]  Jeffrey Tittsworth,et al.  The Development of Wake Turbulence Recategorization in the United States , 2016 .

[14]  Dengfeng Sun,et al.  Optimization of Airport Surface Operations Under Uncertainty , 2015 .

[15]  Shawn Engelland,et al.  Operational Impact of the Baseline Integrated Arrival, Departure, and Surface System Field Demonstration , 2018, 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC).

[16]  韓國航空大學 航空 械工學科 美聯邦航空廳(Federal Aviation Administration)의 航空機 製作檢査 制度의 現況 , 1979 .

[17]  Amedeo R. Odoni,et al.  Use of Queuing Models to Estimate Delay Savings from 4D Trajectory Precision , 2009 .

[18]  Zhifan Zhu,et al.  Validation of Simulations of Airport Surface Traffic with the Surface Operations Simulator and Scheduler , 2013 .

[19]  Sujata Banerjee,et al.  A simple approximation for modeling nonstationary queues , 1996, Proceedings of IEEE INFOCOM '96. Conference on Computer Communications.

[20]  Hamsa Balakrishnan,et al.  Control of a non-stationary tandem queue model of the airport surface , 2017, 2017 American Control Conference (ACC).

[21]  Michael O. Ball,et al.  ASSESSING THE BENEFITS OF COLLABORATIVE DECISION MAKING IN AIR TRAFFIC MANAGEMENT , 2000 .

[22]  Clifford Winston,et al.  Another Look at Airport Congestion Pricing , 2007 .

[23]  T. Reynolds,et al.  Estimating Current & Future System-Wide Benefits of Airport Surface Congestion Management , 2013 .

[24]  Harshad Khadilkar,et al.  DEMONSTRATION OF REDUCED AIRPORT CONGESTION THROUGH PUSHBACK RATE CONTROL , 2014 .

[25]  H. Balakrishnan,et al.  Network Congestion Control of Airport Surface Operations , 2014 .

[26]  An evaluation of the impact of wake vortex re-categorization: The case of Charlotte Douglas International airport (CLT) , 2018 .

[27]  Alexandre Jacquillat,et al.  A queuing model of airport congestion and policy implications at JFK and EWR , 2012 .

[28]  Nikolas Pyrgiotis,et al.  An Analytical Queuing Model of Airport Departure Processes for Taxi Out Time Prediction , 2010 .

[29]  Katy Griffin,et al.  Quantitative Analysis of Uncertainty in Airport Surface Operations , 2009 .

[30]  Megan S. Ryerson,et al.  Build Airport Capacity or Manage Flight Demand? How Regional Planners Can Lead American Aviation Into a New Frontier of Demand Management , 2014 .

[31]  Harshad Khadilkar,et al.  Networked control of aircraft operations at airports and in terminal areas , 2013 .

[32]  Hanbong Lee,et al.  Taxi Time Prediction at Charlotte Airport Using Fast-Time Simulation and Machine Learning Techniques , 2015 .

[33]  Malur K. Sundareshan,et al.  Numerical Methods for Modeling Computer Networks Under Nonstationary Conditions , 1990, IEEE J. Sel. Areas Commun..

[34]  Dimitri N. Mavris,et al.  Optimizing Pushback Decisions to Valuate Airport Surface Surveillance Information , 2012, IEEE Transactions on Intelligent Transportation Systems.

[35]  Amedeo R. Odoni,et al.  Modelling delay propagation within an airport network , 2013 .

[36]  Hanbong Lee Airport surface traffic optimization and simulation in the presence of uncertainties , 2014 .

[37]  Yoon C. Jung,et al.  Tactical Surface Metering Procedures and Information Needs for Charlotte Douglas International Airport , 2018 .

[38]  Nicolas Pujet Modeling and control of the departure process of congested airports , 1999 .