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Challenges in Aerospace Decision and Control: Air Transportation Systems

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Advances in Control System Technology for Aerospace Applications

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 460))

Abstract

The Next Generation Air Transportation System (NextGen) presents many important challenges that require the development and use of Cyber-Physical System (CPS) methodologies. These methods have the potential to increase NextGen system efficiency (reduce delays), robustness (reduce impact of weather disruptions) and energy efficiency (reduce fuel burn), and decrease environmental impact, while ensuring safety. It is also important to recognize that many of the problems identified are prevalent in many other infrastructure Cyber-Physical Systems, such as energy systems, power systems, and ground transportation systems. Similarly, lessons on certification processes many be shared with medical device developers. Ultimately, research into fundamental CPS challenges has the potential to transform the manner in which NextGen systems will evolve and operate.

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References

  1. Alexander, B.: Aircraft density and midair collision. In: Proceedings of the IEEE, vol. 58 (1970)

    Google Scholar 

  2. Anno, J.: Estimate of human control over mid-air collisions. J. Aircr. 19, 86–88 (1982)

    Article  Google Scholar 

  3. Arad, B.A., Golden, B., Grambard, J., Mayfield, C., Saun, H.V.: Control load, control capacity and optimal sector design. Technical Report No. RD64-16, Federal Aviation Administration, William J. Hughes Technical Center, Atlantic city, NJ (1963)

    Google Scholar 

  4. Awad, A.I.: An analysis of the risk from UAS missions in the national airspace. Master’s thesis, University of Washington (2013)

    Google Scholar 

  5. Balakrishnan, H., Feron, E.: (a sample of the) US academic community’s views on research contributions to NextGen. http://cps-vo.org/content/nitrdpresentationpptx (2015). Accessed Feb 2015

  6. Ball, M., Lulli, G.: Ground delay programs: optimizing over the included flight set based on distance. Air traffic control. Q. (2004)

    Google Scholar 

  7. Bayen, A., Raffard, R., Tomlin, C.: Adjoint-based control of a new eulerian network model of air traffic flow. IEEE Trans. Control. Syst. Technol. 14(5), 804–818 (2006)

    Article  Google Scholar 

  8. Bertsimas, D., Lulli, G., Odoni, A.: The air traffic flow management problem: an integer optimization approach. In: Integer Programming and Combinatorial Optimization, pp. 34–46 (2008)

    Google Scholar 

  9. Bertsimas, D., Stock Patterson, S.: The air traffic flow management problem with enroute capacities. Oper. Res. 46(3), 406–422 (1998)

    Article  MATH  Google Scholar 

  10. Böhme, D.: Tactical departure management with the Eurocontrol/DLR DMAN. In: 6th USA/Europe Air Traffic Management Research and Development Seminar, Baltimore, MD (2005)

    Google Scholar 

  11. Brinton, C., Provan, C., Lent, S., Prevost, T., Passmore, S.: Collaborative departure queue management: an example of collaborative decision making in the United States. In: 9th USA/Europe Air Traffic Management Research and Development Seminar (ATM2011), Berlin, Germany (2011)

    Google Scholar 

  12. Burgain, P., Feron, E., Clarke, J., Darrasse, A.: Collaborative Virtual Queue: Fair Management of Congested Departure Operations and Benefit Analysis. Arxiv preprint arXiv:0807.0661 (2008)

  13. Burgain, P., Kim, S.H., Feron, E.: Valuating surface surveillance technology for collaborative multiple-spot control of airport departure operations. IEEE Trans. Intell. Trans. Syst. 15(2), 710–722 (2014)

    Article  Google Scholar 

  14. Burgain, P., Pinon, O.J., Feron, E., Clarke, J.P., Mavris, D.N.: Optimizing pushback decisions to valuate airport surface surveillance information. IEEE Trans. Intell. Trans. Syst. 13(1), 180–192 (2012)

    Article  Google Scholar 

  15. Carr, F.: Stochastic modeling and control of airport surface traffic. Master’s thesis, Massachusetts Institute of Technology (2001)

    Google Scholar 

  16. Carr, F., Evans, A., Feron, E., Clarke, J.: Software tools to support researchon airport departure planning. In: Digital Avionics Systems Conference. IEEE, Irvine CA (2002)

    Google Scholar 

  17. Clarke, J., Melconian, T., Bly, E., Rabbani, F.: MEANS MIT extensible air network simulation. Simulation 83(5), 385 (2007)

    Article  Google Scholar 

  18. Clarke, J.P., Li, L., Balakrishnan, H., Feron, E., Griffin, K., Kim, B., Kim, S., Lee, H., Robeson, I.J., Solveling, G., Yu, P., Brooks, J.: Surface traffic optimization in the presence of uncertainties (2010). Final report, NASA Project NNX07AU34A

    Google Scholar 

  19. Clewlow, R., Michalek, D.: Logan Control Tower: Controller Positions, Processes, and Decision Support Systems. Technical report, Massachusetts Institute of Technology (2010)

    Google Scholar 

  20. Dalamagkidis, K., Valavanis, K., L.A., Piegl: Evaluating the risk of unmanned aircraft ground impacts. In: 16th IEEE Mediterranean Conference in Control and Automation, pp. 709–716 (2008)

    Google Scholar 

  21. Endoh, S.: Aircraft collision models, Technical report, FTL Report R82–2, Massachusetts Institute of Technology, Flight Transportation Laboratory (1982)

    Google Scholar 

  22. EUROCONTROL: SESAR website. http://www.eurocontrol.int/sesar/

  23. Federal Aviation Administration: Fact Sheet of Airport Surface Detection Equipment, Model X (ASDE-X). http://www.faa.gov/news/fact_sheets/news_story.cfm?newsId=6296 (2010)

  24. Feron, E.R., Hansman, R.J., Odoni, A.R., Cots, R.B., Delcaire, B., Hall, W.D., Idris, H.R., Muharremoglu, A., Pujet, N.: The Departure Planner: a conceptual discussion. Technical report, Massachusetts Institute of Technology (1997)

    Google Scholar 

  25. Flanagan, P.: Chapter frequency of airspace conflicts in the mixed terminal environment. Report of the Department of Transportation Air Traffic Control Advisory Committee, vol. 2, pp. 137–144. Federal Aviation Administration, Oklahoma (1969)

    Google Scholar 

  26. Frank, C., Jimenez, H., Pfaender, H., Mavris, D.: Scenario development to evaluate system-wide environmental benefits of aircraft technologies and concepts. In: Proceedings of the 2013 Aviation Technology, Integration, and Operations Conference. American Institute of Aeronautics and Astronautics (2013)

    Google Scholar 

  27. Galdino, A., Munoz, C., Ayala-RincĂ³n, M.: Formal verification of an optimal air traffic conflict resolution and recovery algorithm. Log. Lang. Inf. Comput. 177–188 (2007)

    Google Scholar 

  28. Gariel, M.: Toward a graceful degradation of air traffic management systems. Ph.D. thesis, Georgia Institute of Technology (2010)

    Google Scholar 

  29. Gariel, M., Feron, E.: Graceful degradation of air traffic operations: airspace sensitivity to degraded surveillance systems. Proceedings of the IEEE, special issue on aviation information systems (2009)

    Google Scholar 

  30. Geroliminis, N., Daganzo, C.: Existence of urban-scale macroscopic fundamental diagrams: some experimental findings. Trans. Res. Part B 42(9), 759–770 (2008)

    Article  Google Scholar 

  31. Gilbo, E.: Airport capacity: representation, estimation, optimization. IEEE Trans. Control. Syst. Technol. 1(3), 144–154 (1993)

    Article  Google Scholar 

  32. Graham, W., Orr, R.: Chapter terminal air traffic model with near midair collison and midair collison comparison. Report of the Department of Transportation Air Traffic Control Advisory Committee, vol. 2, pp. 151–164. Federal Aviation Administraiton, Oklahoma (1969)

    Google Scholar 

  33. Graham, W., Orr, R.: Terminal air traffic flow and collison exposure. In: Proceedings of the IEEE, vol. 58 (1970)

    Google Scholar 

  34. Griffin, K.J., Yu, P., Rappaport, D.B.: Evaluating surface optimization techniques using a fast-time airport surface simulation. In: AIAA Aviation Technology, Integration and Operations (ATIO) Conference. Fort Worth, TX (2010)

    Google Scholar 

  35. How, J., Glaese, R., Grocott, S., Miller, D.: Finite element model-based robust controllers for the middeck active control experiment (mace). Control. Syst. Technol. 5(1) (1995)

    Google Scholar 

  36. Idris, H., Clarke, J.P., Bhuva, R., Kang, L.: Queuing model for taxi-out time estimation. Air Traffic Control. Q. (2001)

    Google Scholar 

  37. Idris, H.R.: Observation and analysis of departure operations at Boston Logan International Airport. Ph.D. thesis, Massachusetts Institute of Technology (2001)

    Google Scholar 

  38. Jacquillat, A., Odoni, A.R.: A Study of Airport Congestion at JFK and EWR. In: 5th International Conference on Research in Air Transportation (2012)

    Google Scholar 

  39. Jimenez, H., Pfaender, H., Mavris, D.: System-wide assessment of nasa era concept vehicles and technologies for fuelburn and co2. J. Aircr. Am. Inst. Aeronaut. Astronaut. 49, 1913–1930 (2012)

    Google Scholar 

  40. Joint Planning and Development Office: Concept of Operations for the Next Generation Air Transportation System (2007)

    Google Scholar 

  41. Jung, Y., Hoang, T., Montoya, J., Gupta, G., Malik, W., Tobias, L.: Performance evaluation of a surface traffic management tool for dallas/fort worth international airport. In: 9th USA/Europe Air Traffic Management Research and Development Seminar (ATM2011). Berlin, Germany (2011)

    Google Scholar 

  42. Khadilkar, H., Balakrishnan, H.: A multi-modal Unscented Kalman filter for inference of aircraft position and taxi mode from surface Surveillance data. In: AIAA Aviation Technology, Integration and Operations (ATIO) Conference. Virginia Beach, VA (2011)

    Google Scholar 

  43. Khadilkar, H., Balakrishnan, H.: Optimal control of airport operations with gate capacity constraints. In: European Control Conference. Zurich, Switzerland (2012)

    Google Scholar 

  44. Khadilkar, H., Balakrishnan, H.: Network congestion control of airport surface operations. J. Guid. Control. Dyn. (2014). To appear

    Google Scholar 

  45. Khadilkar, H., Balakrishnan, H., Reilly, B.: Analysis of airport performance using surface surveillance data: A case study of BOS. In: AIAA Aviation Technology, Integration and Operations (ATIO) Conference. Virginia Beach, VA (2011)

    Google Scholar 

  46. Khatib, O.: Real-time obstacle avoidance for manipulators and mobile robots. Int. J. Robot. Res. 5(1), 90–98 (1986)

    Article  MathSciNet  Google Scholar 

  47. Kim, S.: Airport control through intelligent gate assignment. Ph.D. thesis, Georgia Inst. Technology (2013)

    Google Scholar 

  48. Nikoue H., Marzuoli, A., Clarke, J.-P., Feron, E., Peters, J.: Passenger flow predictions at sydney international airport: a data-driven queuing approach. arXiv:1508.04839v1 (2015)

  49. Kivestu, P.A.: Alternative methods of investigating the time dependent M/G/k queue. Master’s thesis, Massachusetts Institute of Technology (1976)

    Google Scholar 

  50. Latombe, J.: Robot Motion Planning. Kluwer, Dordrecht (1995)

    Google Scholar 

  51. Le Ny, J., Balakrishnan, H.: Feedback control of the National Airspace System. J. Guid. Control. Dyn. 34(3) (2011)

    Google Scholar 

  52. Lee, H., Balakrishnan, H.: A study of tradeoffs in scheduling terminal-area operations. Proc. IEEE 96(12) (2008)

    Google Scholar 

  53. Lee, H., Balakrishnan, H.: Fast-time simulations of Detroit airport operations for evaluating performance in the presence of uncertainties. In: Digital Avionics Systems Conference (DASC). IEEE (2012)

    Google Scholar 

  54. Lester, E.A., Hansman, R.J.: Benefits and Incentives for ADS-B Equipage in the National Airspace System. Technical report, MIT (2007)

    Google Scholar 

  55. Long, D., Lee, D., Johnson, J., Gaier, E., Kostiuk, P.: Modeling Air Traffic Management Technologies with a Queuing Network Model of the National Airspace System. Technical report, NASA Langley Research Center, Hampton, VA. Technical Report NASA/CR-1999-208988 (1999)

    Google Scholar 

  56. Malone, K.M.: Dynamic queueing systems : behavior and approximations for individual queues and for networks. Ph.D. thesis, Massachusetts Institute of Technology (1995)

    Google Scholar 

  57. Mao, Z.H., Feron, E., Bilimoria, K.: Stability and performance of intersecting aircraft flows under sequential conflict resolution. IEEE Trans. Intell. Trans. Syst. (2001)

    Google Scholar 

  58. Marks, B.L.: Air traffic control separation standards and collision risk. Technical Note 91, Royal Aircraft Establishment (1963)

    Google Scholar 

  59. May, G.: A method for predicting the number of near mid-air collisions in a defined airspace. Oper. Res. Q. 22, 237–251 (1971)

    Article  Google Scholar 

  60. Melnyk, R., Schrage, D., Volovoi, V., Jimenez, H.: Sense and avoid requirements for unmanned aircraft systems using a target level of safety approach. Risk Anal. 34, 1894–1906 (2014)

    Article  Google Scholar 

  61. Melnyk, R., Schrage, D., Volovoi, V., Jimenez, H.: A third-party casualty risk model for UAS operations. In: Reliability Engineering and System Safety, vol. 124, pp. 105–116. Elsevier (2014)

    Google Scholar 

  62. Menon, P.K., Sweriduk, G.D., Bilimoria, K.D.: New approach for modeling, analysis, and control of air traffic flow. J. Guid. Control. Dyn. 27(5), 737–744 (2004)

    Article  Google Scholar 

  63. Nakahara, A., Reynolds, T., White, T., Dunsky, R.: Analysis of a surface congestion management technique at New York JFK Airport. In: AIAA Aviation Technology, Integration and Operations (ATIO) Conference. Virginia Beach, VA (2011)

    Google Scholar 

  64. University of New South Wales, C.: Air traffic simulation—atoms. http://www.cs.adfa.edu.au/research/details2.php?page_id=543 (2015). Accessed Feb 2015

  65. Oh, J., Feron, E.: Safety certification of air traffic conflict resolution algorithms involving more than two aircraft. In: American Control Conference, vol. 5, pp. 2807–2811. Philadelphia, PA (1998)

    Google Scholar 

  66. O’Neill, M.G., Dumont, J., Hansman, R.: Use of hyperspace trade analyses to evaluate environmental and performance tradeoffs for cruise and approach operations. In: AIAA Aviation Technology, Integration and Operations (ATIO) Conference. IEEE (2012)

    Google Scholar 

  67. Federal Aviation Administration telecommunication infrastructure review panel: Report on nov 19, 2009 outage. http://www.faa.gov/air_traffic/publications/media/FTI_Phase1.pdf (2015). Accessed Feb 2015

  68. Park, P., Khadilkar, H., Balakrishnan, H., Tomlin, C.: High confidence networked control for next generation air transportation systems. IEEE Trans. Autom. Control. (2014). To appear

    Google Scholar 

  69. Park, P., Khadilkar, H., Balakrishnan, H., Tomlin, C.: Hybrid communication protocols and control algorithms for NextGen aircraft arrivals. IEEE Trans. Intell. Trans. Syst. (2014). To appear

    Google Scholar 

  70. Pfaender, H., Jimenez, H., Mavris, D.: Effects of technology R&D investments on system level performance. In: Proceedings of the 2013 Aviation Technology, Integration, and Operations Conference. American Institute of Aeronautics and Astronautics (2013)

    Google Scholar 

  71. Pujet, N., Delcaire, B., Feron, E.: Input-output modeling and control of the departure process of congested airports. In: AIAA Guidance, Navigation, and Control Conference and Exhibit, Portland, OR pp. 1835–1852 (1999)

    Google Scholar 

  72. Pyrgiotis, N., Malone, K., Odoni, A.: Modelling delay propagation within an airport network. Trans. Res. Part C: Emerg. Technol. (2011)

    Google Scholar 

  73. Ramanujam, V., Balakrishnan, H.: Estimation of Arrival-Departure Capacity Tradeoffs in Multi-Airport Systems. In: Proceedings of the 48th IEEE Conference on Decision Control (2009)

    Google Scholar 

  74. Ren, L., Clarke, J.P., Ho, N.T.: Achieving low approach noise without sacrificing capacity. In: Digital Avionics Systems Conference, 2003. DASC’03. The 22nd, vol. 1, pp. 1-E. IEEE (2003)

    Google Scholar 

  75. RTCA: Minimum Aviation System Performance Standard for Automatic Dependent Surveillance Broadcast (ADS-B) (2002). DO-242A

    Google Scholar 

  76. Samad, T., Balas, G. (eds.): Software-Enabled Control: Information Technology for Dynamical Systems. Wiley, Hoboken (2003)

    Google Scholar 

  77. Sampigethaya, K., Poovendran, R., Bushnell, L.: Secure operation, control and maintenance of future e-enabled airplanes. In: Proceedings of the IEEE, Special issue on Aviation Information Systems, vol. 96(12), pp. 1992–2007 (2008)

    Google Scholar 

  78. Sampigethaya, K., Poovendran, R., Bushnell, L.: A framework for securing future e-enabled aircraft navigation and surveillance. In: AIAA Infotech at Aerospace Conference. Seattle, WA (2009)

    Google Scholar 

  79. Sampigethaya, K., Poovendran, R., Shetty, S., Davis, T., Royalty, C.: Future e-enabled aircraft communications and security: the next 20 years and beyond. Proc. IEEE 99(11), 2040–2055 (2011)

    Article  Google Scholar 

  80. Schaper, M., Tsoukala, G., Stavrati, R., Papadopoulos, N.: Departure flow control through takeoff sequence optimisation: Setup and results of trials at Athens airport. In: 2011 IEEE/AIAA 30th Digital Avionics Systems Conference (DASC), pp. 2B2-1. IEEE (2011)

    Google Scholar 

  81. Shumsky, R.: Real-time forecasts of aircraft departure queues. Air Traffic Control. Q. 5(4) (1997)

    Google Scholar 

  82. Shumsky, R.A.: Dynamic statistical models for the prediction of aircraft take-off times. Ph.D. thesis, Massachusetts Institute of Technology (1995)

    Google Scholar 

  83. Simaiakis, I.: Analysis, Modeling and Control of the Airport Departure Process. Ph.D. thesis, Massachusetts Institute of Technology (2013)

    Google Scholar 

  84. Simaiakis, I., Balakrishnan, H.: Dynamic control of airport departures: Algorithm development and field evaluation. In: American Control Conference (2012)

    Google Scholar 

  85. Simaiakis, I., Khadilkar, H., Balakrishnan, H., Reynolds, T.G., Hansman, R.J.: Demonstration of reduced airport congestion through pushback rate control. Trans. Res. Part A: Policy and Pract. 66, 251–267 (2014)

    Google Scholar 

  86. Simaiakis, I., Sandberg, M., Balakrishnan, H.: Dynamic control of airport departures: algorithm development and field evaluation. IEEE Trans. Intell. Trans. Syst. 15(1), 285–295 (2014)

    Article  Google Scholar 

  87. Simpson, R.: Engineering of air traffic control systems. Technical report, Massachusetts Institute of Technology, Flight Transportation Laboratory (1993)

    Google Scholar 

  88. Spearman, M., Zazanis, M.: Push and pull production systems: Issues and comparisons. Oper. Res. 521–532 (1992)

    Google Scholar 

  89. Stroiney, S., Levy, B., Khadilkar, H., Balakrishnan, H.: Assessing the impacts of the JFK Ground Metering Program. In: IEEE Digital Avionic Systems Conference (DASC) (2013)

    Google Scholar 

  90. Sun, D., Bayen, A.: Multicommodity Eulerian-Lagrangian large-capacity cell transmission model for en route traffic. J. Guid. Control. Dyn. 31(3) (2008)

    Google Scholar 

  91. Lozano-Pérez, T.: T., Wesley, M.: An algorithm for planning collision- free paths among polyhedral obstacles. Commun. ACM 22(10), 560–570 (1979)

    Google Scholar 

  92. Tsitsiklis, J.: Neuro-Dynamic Programming. Athena Scientific, Cambridge (1996)

    MATH  Google Scholar 

  93. Delft, T.U., Planning, D.T.: Why traffic management works. http://www.citg.tudelft.nl/en/about-faculty/departments/transport-and-planning/traffic-management-and-traffic-flow-theory/challenges/why-traffic-management-works/ (2015). Accessed Feb 2015

  94. Vranas, P., Bertsimas, D., Odoni, A.: The multi-airport ground-holding problem in air traffic control. Oper. Res. (1994)

    Google Scholar 

  95. Waggoner, B.: Developing a risk assessment tool for unmanned aircraft system operations. Ph.D. thesis, University of Washington (2010)

    Google Scholar 

  96. Wambsganss, M.: Collaborative decision making through dynamic information transfer. Air traffic Control. Q. (1996)

    Google Scholar 

  97. Weibel, R., Hansman, R.: An integrated approach to evaluating risk mitigation measures for UAV operational concepts in the nas. In: Proceedings of InfoTech at Aerospace: advancing contemporary aerospace technologies and their integration, pp. 509–519 (2005)

    Google Scholar 

  98. Weiss, J.: Protecting Industrial Control Systems From Electronic Threats. Momentum Press, New York (2010)

    Google Scholar 

  99. Wieland, F.: The detailed policy assessment tool (DPAT). In: Proceedings of the Spring INFORMS Conference (1997)

    Google Scholar 

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Acknowledgments

This work was performed under partial support from the Federal Aviation Administration under the NEXTOR II program task 0025, the National Aeronautics and Space Administration under Contract No. NNL12AA14C, and Société Internationale de Télécommunications Aériennes.

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Balakrishnan, H., Clarke, JP., Feron, E.M., Hansman, R.J., Jimenez, H. (2016). Challenges in Aerospace Decision and Control: Air Transportation Systems. In: Feron, E. (eds) Advances in Control System Technology for Aerospace Applications. Lecture Notes in Control and Information Sciences, vol 460. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47694-9_4

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