Probabilistic model for airport runway safety areas

• Autorzy: Szabo S. , Vittek P. , Kraus J. , Plos V. , Lališ A. , Štumper M. , Vajdova I.

Identyfikatory

DOI

10.20858/tp.2017.12.2.9

• Języki publikacji: EN

Abstrakty

EN

The Laboratory of Aviation Safety and Security at CTU in Prague has recently started a project aimed at runway protection zones. The probability of exceeding by a certain distance from the runway in common incident/accident scenarios (take-off/landing overrun/veer-off, landing undershoot) is being identified relative to the runway for any airport. As a result, the size and position of safety areas around runways are defined for the chosen probability. The basis for probability calculation is a probabilistic model using statistics from more than 1400 real-world cases where jet airplanes have been involved over the last few decades. Other scientific studies have contributed to understanding the issue and supported the model’s application to different conditions.

Słowa kluczowe

EN

take-off; landing; runway; safety area; probability; distance

PL

start; lądowanie; pas startowy; obszary bezpieczeństwa; prawdopodobieństwo; odległość

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2017
• Tom: T. 12, z. 2
• Strony: 89--97
• Opis fizyczny: Bibliogr. 16 poz.

Twórcy

autor

Szabo S.

• Czech Technical University, Faculty of Transportation Sciences, Department of Air Transport Horská 3, 128 03 Prague 2, Czech Republic

autor

Vittek P.

• Czech Technical University, Faculty of Transportation Sciences, Department of Air Transport Horská 3, 128 03 Prague 2, Czech Republic

autor

Kraus J.

• Czech Technical University, Faculty of Transportation Sciences, Department of Air Transport Horská 3, 128 03 Prague 2, Czech Republic

autor

Plos V.

• Czech Technical University, Faculty of Transportation Sciences, Department of Air Transport Horská 3, 128 03 Prague 2, Czech Republic

autor

Lališ A.

• Czech Technical University, Faculty of Transportation Sciences, Department of Air Transport Horská 3, 128 03 Prague 2, Czech Republic

autor

Štumper M.

• Czech Technical University, Faculty of Transportation Sciences, Department of Air Transport Horská 3, 128 03 Prague 2, Czech Republic

autor

Vajdova I.

• Technical University in Kosice, Department of Air Traffic Management Rampová 7, Kosice, 041 21, Slovakia

Bibliografia

• 1. Statistical summary of commercial jet airplane accidents, Worldwide operations 1959 – 2012, Available at: http://www.boeing.com/news/techissues/pdf/statsum.pdf.
• 2. Fuchs, P. & et al. The Assessment of Critical Infrastructure in the Czech Republic. In: Proceedings of 19th International Scientific Conference Transport Means. Transport means 2015. Kaunas, 22.10.2015 - 23.10.2015. Kaunas: Technologija. 2015. P. 418-424. ISSN 1822-296X.
• 3. ICAO, 2009. Aerodromes. International Standards and Recommended Practices. Annex 14 to the Convention on International Civil Aviation. Aerodrome Design and Operations. Vol. 1, fifth ed. International Civil Aviation Organisation, Montreal, Canada.
• 4. Kazda, A. & Badanik, B. & Tomova, A. & Laplace, I. & Lenoir, N. Future Airports Development Strategies. Communications: Scientific Letters of the University of Žilina. 2013. Vol. 15. No. 2. P. 19-24. Available at: http://www.uniza.sk/komunikacie/archiv/2013/2/2_2013en.pdf
• 5. Koblen, I. & Szabo, S. & Krnáčová, K. Selected information on European Union research and development programmes and projects focused on reducing emissions from air transport. Naše moře. 2013. Vol. 60. No. 5-6. P. 113-122.
• 6. ICAO, 2006. Aerodrome Design Manual: Part 1 Runways, third ed. Doc. 9157. International Civil Aviation Organisation, Montreal.
• 7. Ayres, M. Improved Models for Risk Assessment of Runway Safety Areas. Washington, D.C. Transportation Research Board. C. 2011. 1 v. (various pagings). ACRP report, 50. ISBN 03-092-1321-5. Available at: http://onlinepubs.trb.org/onlinepubs/acrp/acrp_rpt_050.pdf.
• 8. Wong, D.K.Y. & Pitfield, D.E. & Caves, R.E. & Appley, A.J. The development of a more risk-sensitive and flexible airport safety area strategy: Part II. Accident location analysis and airport risk assessment case studies. Safety Science. 2009. V. 47. No. 7. P. 913-924. DOI: 10.1016/j.ssci.2008.09.011. Available at: http://linkinghub.elsevier.com/retrieve/pii/S092575350800163X
• 9. Ayres, M. & et al. Modelling the Location and Consequences of Aircraft Accidents. Safety Science. 2013. Vol. 51. No. 1. P. 178-186. DOI: 10.1016/j.ssci.2012.05.012. Available at: http://linkinghub.elsevier.com/retrieve/pii/S0925753512001324
• 10. Kirkiland, I. & et al. The Normalisation of Aircraft Overrun Accident Data. J. of Air Transport Management. 2003. V. 9. No. 6. P. 333-341. DOI: 10.1016/S0969-6997(03)00033-4. Available at: http://linkinghub.elsevier.com/retrieve/pii/S0969699703000334
• 11. Valdes, A. & et al.: The Development of Probabilistic Models to Estimate Accident Risk (Due to Runway Overrun and Landing Undershoot) Applicable to the Design and Construction of Runway Safety Areas. Safety Science. 2011. V. 49. No. 5. P. 633-650. DOI: 10.1016/j.ssci.2010.09.020. Available at: http://linkinghub.elsevier.com/retrieve/pii/S0925753510002523
• 12. The Boeing Company. 777-300ER Performance Summary. 2009. Available at: http://www.boeing.com/assets/pdf/commercial/startup/pdf/777_perf.pdf#http://www.boeing.com/assets/pdf/commercial/startup/pdf/777_perf.pdf
• 13. Boeing 747-400 commercial aircraft. Pictures, specifications, reviews. Airlines Inform - your guide to airlines all over the world. 2008-2012. Available at: http://www.airlines-inform.com/commercial-aircraft/Boeing-747-400.html
• 14. Evans, A. W. & et al.: Third Party Risk Near Airports and Public Safety Zone Policy, NATS R & D Report 9636. 1997. Available at: http://saeninfo.files.wordpress.com/2013/05/dpartyrisknearairportsan2989.pdf.
• 15. Socha, V.& et al. Evaluation of the variability of respiratory rate as a marker of stress changes. In: Transport Means 2014. Kaunas: Kauno technologijos universitetas. 2014. P. 339-342. ISSN 1822-296X.
• 16. Socha, V. & et al. Effect of the change of flight, navigation and motor data visualization on psychophysiological state of pilots. SAMI 2015 - IEEE 13th International Symposium on Applied Machine Intelligence and Informatics, Proceedings. 13th IEEE International Symposium on Applied Machine Intelligence and Informatics. Herl'any, 22.01.2015 - 24.01.2015. Budapešť: Institute of Electrical and Electronics Engineers Inc. 2015, p. 339-344. ISBN 978-1-4799-8221-9.