Improving Airport Performance Through a Model-Based Analysis and Optimization Approach
Traditionally airport systems have been studied using an approach in which the different elements of the system are studied independently. Until recently scientific community has put attention in developing models and techniques that study the system using holistic approaches for understanding cause and effect relationships of the integral system. This chapter presents a case of an airport in which the authors have implemented an approach for improving the turnaround time of the operation. The novelty of the approach is that it uses a combination of simulation, parameter analysis and optimization for getting to the best amount of vehicles that minimize the turnaround time of the airport under study. In addition, the simulation model is such that it includes the most important elements within the aviation system, such as terminal manoeuvring area, runway, taxi networks, and ground handling operation. The results show clearly that the approach is suitable for a complex system in which the amount of variables makes it intractable for getting good solutions in reasonable time.
KeywordsTurnaround Time Discrete Event Simulation Recede Horizon Control Recede Horizon Control Congestion Situation
- 2.Arias, P., Guimarans, D., Boosten, G., & Mujica, M. (2013). A methodology combining optimization and simulation for real applications of the stochastic aircraft recovery problem’. In Proceedings of the EUROSIM’13, Cardiff, U.K.Google Scholar
- 4.Beasley, J. E., Krishnamoorthy, M., Sharaiha, Y. M., & Abramson, D. (2000). Scheduling aircraft landings—the static case. Transportation Science, 180–197.Google Scholar
- 8.DeNeufville, R., & Scholtes, S. (2011). Flexibility in engineering design. MIT Press.Google Scholar
- 10.Eurocontrol. (2013). Challenges of growth 2013. Technical report.Google Scholar
- 11.Eurocontrol. (2016, December). Coda Report: All-causes Delay to Air Transport in Europe. Technical report.Google Scholar
- 12.Eurocontrol. (2015). Industry Monitor, Issue N 174. 01/07/2015.Google Scholar
- 13.Federov, V. V. (1972). Theory of optimal experiments. In W. J. Studden & E. M. Klimko (Eds). New York: Academic Press.Google Scholar
- 14.Hu, X., & Chen, W. (2005). Receding horizon control for aircraft arrival sequencing and scheduling. IEEE Transactions on Intelligent Transportation Systems, 6(2).Google Scholar
- 15.Jimenez, E. (2014). Airport strategic planning in the context of low-cost carriers ascendency: insights from the European experience. Ph.D. thesis, Universidad do Porto.Google Scholar
- 18.Michelin, A., Idan, M., & Speyer, J. L. (2009). Merging of air traffic flows. In AIAA Guidance, Navigation, and Control Conference, 10–13, Chicago, Illinois.Google Scholar
- 19.Mujica, M. (2015). Check-in allocation improvements through the use of a simulation-optimization approach. Transportation Research Part A, 320–335.Google Scholar
- 20.Mujica, M., de Bock, N., Boosten, G., Jimenez, E., & Pinho, J. (2015). Simulation-based turnaround evaluation for Lelystad airport. In Air Transport Research Society World Conference, 2–5 July, Singapore.Google Scholar
- 23.OptQuest Webpage http://www.opttek.com/products/optquest/.
- 24.Pujet, N., Delcaire, B., & Feron, E. (1999). Input-output modeling and control of the departure process of congested airports. In A collection of technical papers: AIAA Guidance, Navigation and Control Conference and Exhibit, Part 3 (pp. 1835–1852), 9–11 August, Portland, Oregon, USA.Google Scholar
- 25.Scala, P., Mujica, M., & Zuniga, C. A. (2015). Assessing the future TMA capacity of Lelystad airport using simulation. In Air Transport and Operations Symposium, 20–22 July, Delft, The Netherlands.Google Scholar
- 26.Scala, P., Mujica, M., & De Bock, N. (2015). Modular approach for modelling an airport system. In EMSS European Modeling & Simulation Symposium, 21–23 September, Bergeggi, Italy.Google Scholar
- 27.Schiphol Magazine. (2014). http://trafficreview2014.schipholmagazines.nl/air-transportmovements.html#atmmainairlinesa.
- 28.Schiphol Group. (2014). Ondernemingsplan Lelystad Airport, March 2014.Google Scholar
- 29.Schiphol Group. (2016). http://www.schiphol.nl/SchipholGroup1/Onderneming/Statistieken/VerkeerVervoerCijfers1.html.
- 30.Simaiakis, I., & Balakrishnan, H. (2014). A queuing model of the airport departure process. Transportation Science (accepted, July 2014).Google Scholar
- 31.SIMIO Web Page http://www.simio.com.
- 32.van Baren, G., & Treve, V. (2015). The current practice of separation delivery at major European airports. http://www.atmseminar.org/seminarContent/seminar11/papers/466-Van%20Baren_0126150311-Final-Paper-5-7-15.pdf.
- 33.Zuniga, C. A., Delahaye, D., & Piera, M. A. (2011). Integrating and sequencing flows in terminal maneuvering area by evolutionary algorithms. In DASC 2011, 30th IEEE/AIAA Digital Avionics Systems Conference, Seattle, United States.Google Scholar