DEPARTURE TRAJECTORY OPTIMIZATION FOR NOISE ABATEMENT PROCEDURE IN SOEKARNO-HATTA INTERNATIONAL AIRPORT

Vincentius N.S. Suryo, Benedikt Grüter, Johannes Diepolder, Neno Ruseno, Florian Holzapfel

Abstract

Air traffic noise emission has been a growing concern for communities living within the vicinity of airports due to a massive increase in air traffic volume in recent years. This work focuses on the noise annoyance problem by optimizing one of the RNAV trajectories, which aims to minimize the noise footprint of a flying aircraft in a low altitude trajectory. Optimal control theory is applied to minimize the number of awakenings caused by a departing aircraft while constraining the relative increase of fuel consumption with regard to a fuel-minimal trajectory. The aircraft simulation model is based on the BADA 3 database, while the noise is modeled according to the ANP database, both published by EUROCONTROL. The methodology is demonstrated for the Soekarno-Hatta International Airport (CGK) in Jakarta; the result shows the comparison between fuel-minimal trajectories and noise-minimal trajectories for seven aircraft types representing the fleet mix at CGK. The number of awakenings of the noise-minimal trajectories is reduced by 30.33%, with an additional of 5% fuel consumption for the seven aircraft types when compared to the fuel-minimal trajectory.

Keywords

Optimal Control Theory, Noise Abatement, Trajectory Optimization, RNAV Trajectory, BADA Database, Departure Trajectories

Full Text:

PDF

References

AEF, 2016. Aircraft Noise and Public Health: The Evidence is Loud and Clear. [Online]

Available at: https://www.aef.org.uk/uploads/Aircraft-Noise-and-Public-Health-the-evidence-is-loud-and-clear-final-reportONLINE.pdf

[Accessed 21 August 2019].

Chatterjee, D. K., 2011. Encyclopedia of Global Justice. Dordrecht: Springer Netherlands. DOI: 10.1007/978-1-4020-9160-5.

Columbia University, n.d. Gridded Population of the World (GPW), v4 | SEDAC. [Online]

Available at: https://sedac.ciesin.columbia.edu/data/collection/gpw-v4

[Accessed 6 March 2020].

Directorate General of Civil Aviation Indonesia, 2019. AIP Indonesia (VOL II) WIII AMDT 76. [Online]

Available at: https://aimindonesia.dephub.go.id/index.php?page=product-aip-electronik-vol123.html&id_aip=119

[Accessed 18 September 2019].

EUROCONTROL Experimental Centre, n.d. Aircraft Performance Database. [Online]

Available at: https://contentzone.eurocontrol.int/aircraftperformance/default.aspx?

[Accessed 12 February 2020].

EUROCONTROL, 2020. ANP - Eurocontrol Experimental Centre. [Online]

Available at: https://www.aircraftnoisemodel.org/

[Accessed 12 September 2019].

Gerdts, M. & Grüter, B., 2019. Aircraft Trajectory Optimization, München: Lehrstuhl für Flugsystemdynamik.

Haimes, Y. Y., Lasdon, L. S. & Wismer, D. A., 1971. On a Bicriterion Formulation of the Problems of Integrated System Identification and System Optimization. IEEE Transactions on Systems, Man, and Cybernetics, SMC-1(3), pp. 296 - 297. DOI: 10.1109/TSMC.1971.4308298.

Ho-Huu, V. et al., 2018. Optimization of noise abatement aircraft terminal routes using a multi-objective evolutionary algorithm based on decomposition. Transportation Research Procedia, Volume 29, pp. 157 - 168. DOI: 10.1016/j.trpro.2018.02.014.

Jeppesen Sanderson Inc., 2018. Airport Information for WIII, Englewood: s.n.

Kelly, M., 2017. An Introduction to Trajectory Optimization: How to Do Your Own Direct Collocation. Society for Industrial and Applied Mathematics (SIAM) Review, 59(4), pp. 849 - 904. DOI: 10.1137/16M1062569.

Miller, N. P. & Gardner, C. R., 2008. How Many people will be awakened by Night time Aircraft Noise?. Foxwoods, 9th International Congress on Noise as a Public Health Problem (ICBEN), pp. 1 - 8..

Nuic, A., Poles, D. & Mouillet, V., 2010. BADA: An advanced aircraft performance model for present and future ATM systems. International Journal of Adaptive Control and Signal Processing, 24(10), p. 850–866. DOI: 10.1002/acs.1176.

Park, S. G. & Clarke, J.-P., 2015. Optimal Control Based Vertical Trajectory Determination for Continuous Descent Arrival Procedures. Journal of Aircraft, September, 52(5), pp. 1469-1480. DOI: 10.2514/1.C032967.

Prats, X. et al., 2006. A Framework for RNAV Trajectory Generation Minimizing Noise Nuisances. pp. 1 - 10. Retrieved from: https://core.ac.uk/download/pdf/41755854.pdf.

Prats, X., Puig, V. & Quevedo, J., 2010. A Multi-Objective Optimization Strategy for Designing Aircraft Noise Abatement Procedures. Case Study at Girona Airport. Transportation Research Part D, 16(1), pp. 31 - 41. DOI: 10.1016/j.trd.2010.07.007.

Prats, X., Puig, V., Quevedo, J. & Nejjari, F., 2010. Multi-Objective Optimization for Aircraft Departure Trajectories Minimizing Noise Annoyance. Transportation Research Part C, 18(6), pp. 975 - 989. DOI: 10.1016/j.trc.2010.03.001.

Richter, M., Bittner, M., Rieck, M. & Holzapfel, F., 2014. A Non-Cooperative Bi-Level Optimal Control Problem Formulation for Noise Minimal Departure Trajectories. 29th Congress of the International Council of the Aeronautical Sciences, pp. 1 - 7.

Rieck, M. et al., n.d. FALCON.m | TUM – Institute of Flight System Dynamics – Software. [Online]

Available at: https://www.fsd.lrg.tum.de/software/falcon-m/

[Accessed 7 August 2019].

The Blue Swan Daily, 2018. Airport Insight: Jakarta Soekarno-Hatta International Airport – Blue Swan Daily. [Online]

Available at: https://blueswandaily.com/airport-insight-jakarta-soekarno-hatta-international-airport/

[Accessed 12 August 2019].

Thomas, J. L. & Hansman, R. J., 2019. Framework for Analyzing Aircraft Community Noise Impacts of Advanced Operational Flight Procedures. Journal of Aircraft, 56(4), pp. 1407 - 1417. DOI: 10.2514/1.C035100.

Wijnen, R. & Visser, H., 2003. Optimal Departure Trajectories with respect to Sleep Disturbance. Aerospace Science and Technology, 7(1), pp. 81 - 91. DOI: 10.1016/S1270-9638(02)01183-5.

DOI: http://dx.doi.org/10.30536/j.jtd.2020.v18.a3376

Refbacks

  • There are currently no refbacks.