Predictive and Prescriptive Analytics Toward Passenger-Centric Ground Delay Programs

Published Online:https://doi.org/10.1287/trsc.2021.1081

References

  • Aouad A, Farias VF, Levi R (2021) Assortment optimization under consider-then-choose choice models. Management Sci. 67(6):3368–3386.Google Scholar
  • Balakrishnan H, Chandran B (2018) Optimal large-scale air traffic flow management. Working paper, MIT.Google Scholar
  • Ball M, Barnhart C, Nemhauser G, Odoni A (2007) Air transportation: Irregular operations and control. Barnhart C, Laporte G, eds. Handbook in Operations Research & Management Science, vol. 14 (Elsevier, New York), 1–67.Google Scholar
  • Ball MO, Estes AS, Hansen M, Liu Y (2020) Quantity-contingent auctions and allocation of airport slots. Transportation Sci. 54(4):858–881.LinkGoogle Scholar
  • Ball M, Hoffman R, Odoni A, Rifkin R (2003) A stochastic integer program with dual network structure and its application to the ground-holding problem. Oper. Res. 51(1):167–171.LinkGoogle Scholar
  • Ball M, Barnhart C, Dresner M, Hansen M, Neels K, Odoni A, Peterson E, et al. (2010) Total delay impact study. Technical report, National Center of Excellence for Aviation Operations Research, College Park, MD.Google Scholar
  • Ball M, Swaroop P, Barnhart C, Yan C, Hansen M, Kang L, Liu Y, et al. (2015) Service level expectation setting for air traffic flow management: Practical challenges and benefits assessment. Proc. 12th USA/Europe Air Traffic Management R&D Seminar. http://www.atmseminar.org/seminarContent/seminar12/papers/12th_ATM_RD_Seminar_paper_132.pdf.Google Scholar
  • Barnhart C, Fearing D, Vaze V (2014) Modeling passenger travel and delays in the national air transportation system. Oper. Res. 62(3):580–601.LinkGoogle Scholar
  • Barnhart C, Bertsimas D, Caramanis C, Fearing D (2012) Equitable and efficient coordination in traffic flow management. Transportation Sci. 46(2):262–280.LinkGoogle Scholar
  • Bertsimas D, Gupta S (2016) Fairness and collaboration in network air traffic flow management: An optimization approach. Transportation Sci. 50(1):57–76.LinkGoogle Scholar
  • Bertsimas D, Kallus N (2020) From predictive to prescriptive analytics. Management Sci. 66(3):1025–1044.LinkGoogle Scholar
  • Bertsimas D, Stock Patterson S (1998) The air traffic flow management problem with enroute capacities. Oper. Res. 46(3):406–422.LinkGoogle Scholar
  • Bertsimas D, Delarue A, Martin S (2019) Optimizing schools’ start time and bus routes. Proc. National Acad. Sci. USA 116(13):5943–5948.CrossrefGoogle Scholar
  • Bertsimas D, Farias V, Trichakis N (2012) On the efficiency-fairness trade-off. Management Sci. 58(12):2234–2250.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
  • Besbes O, Gur Y, Zeevi A (2016) Optimization in online content recommendation services: Beyond click-through rates. Manufacturing Service Oper. Management 18(1):15–33.LinkGoogle Scholar
  • Bratu S, Barnhart C (2006) Flight operations recovery: New approaches considering passenger recovery. J. Scheduling 9(3):279–298.CrossrefGoogle Scholar
  • Breiman L (2001) Random forests. Machine Learning 45(1):5–32.CrossrefGoogle Scholar
  • Breiman L (2017) Classification and Regression Trees (Routledge).CrossrefGoogle Scholar
  • Bureau of Transportation Statistics (2020) Airline origin and destination survey (DB1B). Accessed January 15, 2021, www.transtats.bts.gov.Google Scholar
  • Dahan M, Saurabh A, Barnhart C, Justice J, Lee A 2020 Uncertainty-aware routing of aerial sensors for infrastructure damage inspection. Working paper.Google Scholar
  • Elmachtoub AN, Grigas P (2021) Smart “predict, then optimize”. Management Sci. Forthcoming.LinkGoogle Scholar
  • Evans A, Vaze V, Barnhart C (2016) Airline-driven performance-based air traffic management: game theoretic models and multicriteria evaluation. Transportation Sci. 50(1):180–203.LinkGoogle Scholar
  • Federal Aviation Administration (2004) Airport capacity benchmark report. Technical report, Federal Avaiation Administration, Washington, DC.Google Scholar
  • Federal Aviation Administration (2013) Aviation system performance metrics (ASPM) database. Accessed April 4, 2013, https://aspm.faa.gov/apm/sys/main.asp.Google Scholar
  • Ferreira KJ, Lee BHA, Simchi-Levi D (2016) Analytics for an online retailer: Demand forecasting and price optimization. Manufacturing Service Oper. Management 18(1):69–88.LinkGoogle Scholar
  • Gallien J, Mersereau AJ, Garro A, Mora AD, Vidal MN (2015) Initial shipment decisions for new products at Zara. Oper. Res. 63(2):269–286.LinkGoogle Scholar
  • Gilbo E (1993) Airport capacity: Representation, estimation, optimization. IEEE Trans. Control Systems Tech. 1(3):144–154.CrossrefGoogle Scholar
  • Hoerl AE, Kennard RW (1970) Ridge regression: Biased estimation for nonorthogonal problems. Technometrics 12(1):55–67.CrossrefGoogle Scholar
  • Jacquillat A, Odoni A (2015) An integrated scheduling and operations approach to airport congestion mitigation. Oper. Res. 63(6):1390–1410.LinkGoogle Scholar
  • Jacquillat A, Vaze V (2018) Interairline equity in airport scheduling interventions. Transportation Sci. 52(4):941–964.LinkGoogle Scholar
  • Jacquillat A, Odoni A, Webster M (2017) Dynamic control of runway configurations and of arrival and departure service rates at JFK airport under stochastic queue conditions. Transportation Sci. 51(1):155–176.LinkGoogle Scholar
  • Jones J, Lovell D, Ball M (2018) Stochastic optimization models for transferring delay along flight trajectories to reduce fuel usage. Transportation Sci. 52(1):134–149.LinkGoogle Scholar
  • Liu S, He L, Shen ZJM (2021) On-time last mile delivery: Order assignment with travel time predictors. Management Sci. 67(7):4095–4119.LinkGoogle Scholar
  • Marla L, Vaaben B, Barnhart C (2017) Integrated disruption management and flight planning to trade off delays and fuel burn. Transportation Sci. 51(1):88–111.LinkGoogle Scholar
  • Mehta R, Vazirani VV (2020) An incentive compatible, efficient market for air traffic flow management. Theoretical Comput. Sci. 818:41–50.CrossrefGoogle Scholar
  • Mukherjee A, Hansen M (2007) A dynamic stochastic model for the single airport ground holding problem. Transportation Sci. 41(4):444–456.LinkGoogle Scholar
  • Odoni A (1987) The flow management problem in air traffic control. Odoni A, Bianco L, Szego G, eds. Flow Control of Congested Networks (Springer-Verlag, Berlin, Heidelberg), 269–288.CrossrefGoogle Scholar
  • Pellegrini P, Castelli L, Pesenti R (2012) secondary trading of airport slots as a combinatorial exchange. Transportation Res., Part E Logist. Transportation Rev. 48(5):1009–1022.CrossrefGoogle Scholar
  • Pyrgiotis N (2011) A stochastic and dynamic model of delay propagation within an airport network for policy analysis. PhD thesis, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
  • Richetta O, Odoni A (1993) Solving optimally the static ground-holding policy problem in air traffic control. Transportation Sci. 27(3):228–237.LinkGoogle Scholar
  • Simaiakis I (2012) Analysis, modeling and control of the airport departure process. PhD thesis, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
  • Swaroop P, Zou B, Ball M, Hansen M (2012) Do more US airports need slot controls? A welfare based approach to determine slot levels. Transportation Res. Part B: Methodological 46(9):1239–1259.CrossrefGoogle Scholar
  • Terrab M, Odoni A (1993) Strategic flow management for air traffic control. Oper. Res. 41(1):138–152.LinkGoogle Scholar
  • Tibshirani R (1996) Regression shrinkage and selection via the lasso. J. Royal Statist. Soc. B 58(1):267–288.CrossrefGoogle Scholar
  • Vaze V, Barnhart C (2012) Modeling airline frequency competition for airport congestion mitigation. Transportation Sci. 46(4):512–535.LinkGoogle Scholar
  • Vossen T, Ball M (2006) Slot trading opportunities in collaborative ground delay programs. Transportation Sci. 40(1):29–43.LinkGoogle Scholar
  • Vossen T, Hoffman R, Mukherjee A (2012) Air traffic flow management. quantitative problem solving methods in the airline industry. International Series in Operations Research and Management Science (Springer, New York), 385–453.Google Scholar
  • Vranas P, Bertsimas D, Odoni A (1994) The multi-airport ground-holding problem in air traffic control. Oper. Res. 42(2):249–261.LinkGoogle Scholar
  • Wambsganss M (1996) Collaborative decision making through dynamic information transfer. Air Traffic Control Quart. 4(2):107–123.CrossrefGoogle Scholar
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