DEMONSTRATION OF REDUCED AIRPORT CONGESTION THROUGH PUSHBACK RATE CONTROL

Airport surface congestion results in significant increases in taxi times, fuel burn and emissions at major airports. This paper describes the field tests of a congestion control strategy at Boston Logan International Airport. The approach determines a suggested rate to meter pushbacks from the gate, in order to prevent the airport surface from entering congested states and to reduce the time that flights spend with engines on while taxiing to the runway. The field trials demonstrated that significant benefits were achievable through such a strat- egy: during eight four-hour tests conducted during August and September 2010, fuel use was reduced by an estimated 12,000- 15,000 kg (3,900-4,900 US gallons), while aircraft gate pushback times were increased by an average of only 4.3 minutes for the 247 flights that were held at the gate.

[1]  Max Donath,et al.  American Control Conference , 1993 .

[2]  Daniel DeLaurentis,et al.  Evaluation of Continuous Descent Approach as a Standard Terminal Airspace Operation , 2011 .

[3]  Harshad Khadilkar,et al.  Estimation of Aircraft Taxi-out Fuel Burn using Flight Data Recorder Archives , 2011 .

[4]  John-Paul Clarke,et al.  Collaborative Virtual Queue: Benefit Analysis of a Collaborative Decision Making Concept Applied to Congested Airport Departure Operations , 2009 .

[5]  C. Brinton,et al.  Collaborative Departure Queue Management An Example of Airport Collaborative Decision Making in the United States , 2011 .

[6]  J. Anable,et al.  Scientific research about climate change mitigation in transport: a critical review , 2011 .

[7]  Nicolas Pujet,et al.  Input-output modeling and control of the departure process of congested airports , 1999 .

[8]  Jessica Fuerst,et al.  Airport Systems Planning Design And Management , 2016 .

[9]  Andreas Wald,et al.  Much Ado about Nothing? – An analysis of economic impacts and ecologic effects of the EU-emission trading scheme in the aviation industry , 2011 .

[10]  John-Paul Clarke,et al.  Collaborative Virtual Queue: Fair Management of Congested Departure Operations and Benefit Analysis , 2008, ArXiv.

[11]  Eugene P. Gilbo,et al.  Airport capacity: representation, estimation, optimization , 1993, IEEE Trans. Control. Syst. Technol..

[12]  Sanjiv Shresta,et al.  Analysis of Continuous Descent Benefits and Impacts During Daytime Operations , 2009 .

[13]  Suresh P. Sethi,et al.  Optimal feedback production planning in a stochastic two-machine flowshop , 1994 .

[14]  Melanie Sandberg Applications of ASDE-X Data to the analysis of airport surface operations , 2012 .

[15]  Stanley B. Gershwin Design and operation of manufacturing systems-control- and system-theoretical models and issues , 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

[16]  Ioannis Simaiakis Modeling and control of airport departure processes for emissions reduction , 2009 .

[17]  Harshad Khadilkar,et al.  Airport Characterization for the Adaptation of Surface Congestion Management Approaches , 2013 .

[18]  H. Balakrishnan,et al.  Design , Testing and Evaluation of a Pushback Rate Control Strategy , 2012 .

[19]  Tom Reynolds,et al.  Airport systems planning, design, and management , 2003 .

[20]  Hamsa Balakrishnan,et al.  Queuing Models of Airport Departure Processes for Emissions Reduction , 2009 .

[21]  M. Bell,et al.  Detecting and quantifying aircraft and other on-airport contributions to ambient nitrogen oxides in the vicinity of a large international airport , 2006 .

[22]  Shomik Raj Mehndiratta,et al.  Impact of slot controls with a market-based allocation mechanism at San Francisco International Airport , 2003 .

[23]  Sonia M. Kreidenweis,et al.  Corrigendum to "Laboratory investigations of the impact of mineral dust aerosol on cold cloud formation" published in Atmos. Chem. Phys., 10, 11955–11968, 2010 , 2011 .

[24]  R. Henry,et al.  Identifying the impact of large urban airports on local air quality by nonparametric regression , 2004 .

[25]  Ioannis Simaiakis Analysis, modeling and control of the airport departure process , 2013 .

[26]  David MacKenzie,et al.  ICAO: A History of the International Civil Aviation Organization , 2010 .

[27]  W. Malik,et al.  Performance Evaluation of a Surface Traffic Management Tool for Dallas / Fort Worth International Airport , 2011 .

[28]  Ioannis Simaiakis,et al.  Departure Throughput Study for Boston Logan International Airport , 2011 .

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

[30]  Salah G. Hamzawi Lack of airport capacity: Exploration of alternative solutions , 1992 .

[31]  Konstantinos G. Zografos,et al.  Airport capacity vs. demand: Mismatch or mismanagement? , 2008 .

[32]  Hamsa Balakrishnan,et al.  Impact of Congestion on Taxi Times, Fuel Burn, and Emissions at Major Airports , 2010 .

[33]  Eric Feron,et al.  The Departure Planner: A Conceptual Discussion , 1997 .

[34]  Stanley B. Gershwin,et al.  Manufacturing Systems Engineering , 1993 .

[35]  Harshad Khadilkar,et al.  Analysis of Airport Performance using Surface Surveillance Data: A Case Study of BOS , 2011 .

[36]  Suresh P. Sethi,et al.  Optimal feedback production planning in a stochastic N-machine flowshop , 1995, Autom..

[37]  Francis R. Carr,et al.  Stochastic Modeling and Control of Airport Surface Traffic , 2001 .

[38]  A. Robinson,et al.  Secondary aerosol formation from photochemical aging of aircraft exhaust in a smog chamber , 2010 .

[39]  Tom G. Reynolds,et al.  A Survey of Airline Pilots Regarding Fuel Conservation Procedures for Taxi Operations , 2010 .