Data-Driven Optimization for Air Traffic Flow Management with Trajectory Preferences

Published Online:https://doi.org/10.1287/trsc.2022.0309

References

  • Agustìn A, Alonso-Ayuso A, Escudero L, Pizarro C (2012) On air traffic flow management with rerouting. Part I: Deterministic case. Eur. J. Oper. Res. 219:156–166.CrossrefGoogle Scholar
  • Balakrishnan H, Chandran B (2014) Optimal large-scale air traffic flow management. Accessed October 10, 2023, http://web.mit.edu/hamsa/www/publications.html.Google Scholar
  • Bertsimas D, Stock Patterson S (1998) The air traffic management problem with enroute capacities. Oper. Res. 46:406–422.LinkGoogle Scholar
  • Bertsimas D, Stock Patterson S (2000) The traffic flow management rerouting problem in air traffic control: A dynamic network flow approach. Transportation Sci. 34:239–255.LinkGoogle Scholar
  • Bertsimas D, Lulli G, Odoni A (2011) An integer optimization approach to large scale air traffic flow management. Oper. Res. 59(1):211–227.LinkGoogle Scholar
  • Dal Sasso V, Djeumou Fomeni F, Lulli G, Zografos K (2018) Incorporating stakeholders’ priorities and preferences in 4D trajectory optimization. Transportation Res. Part B Methodological 117:594–609.CrossrefGoogle Scholar
  • Dal Sasso V, Djeumou Fomeni F, Lulli G, Zografos K (2019) Planning efficient 4D trajectories in air traffic flow management. Eur. J. Oper. Res. 276(2):676–687.CrossrefGoogle Scholar
  • Estes A, Ball M (2019) Alternative resource allocation mechanisms for the Collaborative Trajectory Options Program (CTOP). 13th USA/Eur. Air Traffic Management Res. Development Seminar (Eurocontrol, Brussels), 1–9.Google Scholar
  • Eurocontrol (2019) Performance review report 2018. An assessment of air traffic management in Europe during the calendar year 2018. Technical report, Eurocontrol, Brussels. https://www.eurocontrol.int/publication/performance-review-report-prr-2018.Google Scholar
  • Eurocontrol (2022) European route network improvement plan. Technical report, Eurocontrol, Brussels. https://www.eurocontrol.int/initiative/fei.Google Scholar
  • Eurocontrol (2023) CODA Digest-All-causes delays to air transport in Europe-Quarter 1 2023. Technical report, Eurocontrol, Brussels. https://www.eurocontrol.int/publication/all-causes-delays-air-transport-europe-quarter-1-2023.Google Scholar
  • FAA (2014) AC 90-115-Collaborative Trajectory Options Program (CTOP): Document information. Accessed October 10, 2023, http://www.faa.gov/documentLibrary/media/Advisory_Circular/AC-90-115.pdf.Google Scholar
  • Gariel M, Srivastava AN, Feron E (2011) Trajectory clustering and an application to airspace monitoring. IEEE Trans. Intelligent Transportation Systems 12:1511–1524.CrossrefGoogle Scholar
  • Hoffman R, Hackney B, Kicinger R, Ball M, Zhu G (2018) Computational methods for flight routing costs in collaborative trajectory options programs. 2018 Aviation Tech. Integration Oper. Conf. (American Institute of Aeronautics and Astronautics, Reston, VA).Google Scholar
  • Lee JG, Han J, Whang KY (2007) Trajectory clustering: A partition-and-group framework. Proc. 2007 ACM SIGMOD Internat. Conf. Management Data (Association for Computing Machinery, New York), 593–604.Google Scholar
  • Lindsay K, Boyd E, Burlingame R (1993) Traffic flow management modeling with the time assignment model. Air Traffic Control Quart. 1(3):255–276.CrossrefGoogle Scholar
  • Liu Y, Hansen M, Ball MO, Lovell DJ (2021) Causal analysis of flight en route inefficiency. Transportation Res. Part B Methodological 151:91–115.CrossrefGoogle Scholar
  • Lukacs M (2019) Cost of delay estimates. Technical report, FAA, Washington, DC. Accessed October 10, 2023, https://www.faa.gov/sites/faa.gov/files/data_research/aviation_data_statistics/cost_delay_estimates.pdf.Google Scholar
  • Lulli G, Odoni A (2007) The European air traffic flow management problem. Transportation Sci. 41(4):431–443.LinkGoogle Scholar
  • OptiFrame Consortium (2016) Report of the OptiFrame workshop: The stakeholders views. Technical report, OptiFrame Consortium, Lancaster University, Lancaster, UK.Google Scholar
  • Richard O, Constans S, Fondacci R (2011) Computing 4D near-optimal trajectories for dynamic air traffic flow management with column generation and branch-and-price. Transportation Planning Tech.. 34(5):389–411.CrossrefGoogle Scholar
  • Ruiz S, Kadour H, Choroba P (2019) A novel air traffic flow management model to optimise network delay. 13th USA/Eur. Air Traffic Management Res. Development Seminar (Eurocontrol, Brussels), 1–10.Google Scholar
  • Schubert E, Sander J, Ester M, Kriegel HP, Xu X (2017) DBSCAN revisited, revisited: Why and how you should (still) use DBSCAN. ACM Trans. Database Systems 42(3):1–21.CrossrefGoogle Scholar
  • Sherali H, Smith J, Trani A (2002) An airspace planning model for selecting flight-plans under workload, safety, and equity considerations. Transportation Sci. 36(4):387–397.LinkGoogle Scholar
  • Tibichte A, Dalichamp M (1997) ATFM modelling capability. AMOC. EEC Note No. 28/97, Eurocontrol, Brussels.Google Scholar
  • Vossen T, Hoffman R, Mukherjee A (2012) Air traffic flow management. Barnhart C, Smith B, eds. Quantitative Problem Solving Methods in the Airline Industry: A Modeling Methodology Handbook (Springer Science + Business Media, New York), 387–455.CrossrefGoogle Scholar
  • Zheng A (2015) Evaluating Machine Learning Models (O’Reilly Media, Sebastopol, CA).Google Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.