Abstract

The definition of a set of precursory safety metrics is critical to detect when an airspace is degrading in terms of safety and thus undesired effects are becoming more likely. Furthermore, safety metrics are paramount in the measurement of the impact of new operational procedures or technical improvements in the air traffic control system. The study presented in this paper introduces three safety metrics (reaction time performance indicator, time to closest point of approach performance indicator, and time to closest point of approach critical limit ratio) derived from a given airspace and a sizable, assorted traffic sample extracted from traffic surveillance track data. The metrics are used to characterize the airspace as a function of the safety outcome, which can be continuously overseen. The final goal of the safety metrics is to be used as an airspace safety warning system, where precursory metrics would signal the need to act to maintain the air traffic control system safety target in the face of operational, organizational, technical, or legal changes.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

The authors would like to express their gratitude to Cranfield University for its openness and hospitality, providing the corresponding author the opportunity to join its team and work along with the research group on ATM. Along with the continuous support from the UPM Air Navigation Research Group (GINA-UPM), an excellent environment has been created for the developing of this research work, hopefully the first of many collaboration between both research groups. Also, the authors would like to thank Consejo Social of UPM for its financial support to Rocío Barragán during her stay at Cranfield University. Special thanks to Nicolás Suárez Tetzlaff and Alan Ross Groskreutz for their selfless help building the paper, particularly reviewing the use of English.

References

Cózar Maldonado, J. A. (2015). “Desarrollo de un modelo de riesgo de colisión en espacios aéreos de área terminal.” Ph.D. thesis, Technical Univ. of Madrid, Madrid, Spain (in Spanish).
Cózar Maldonado, J. A., Sáez Nieto, F. J., and Ricaud Álvarez, E. (2015). “Radar track segmentation with cubic splines for collision risk models in high density terminal areas.” J. Aerosp. Eng., 229(8), 1371–1383.
EASA (European Aviation Safety Agency). (2014). “A harmonised European approach to a performance based environment (PBE).” Cologne, Germany.
Eurocontrol. (2016). “Annual report 2015.” Brussels, Belgium.
Eurocontrol Performance Review Commission. (2016). “Performance review report 2015: An assessment of air traffic management in Europe during the calendar year 2015.” Brussels, Belgium.
Ferrari, J. R. (2010). Still procrastinating: The no-regrets guide to getting it done, Wiley, New York.
García González, E. J. (2013). “Development of a 3-dimensional mathematical collision risk model based on recorded aircraft trajectories to estimate the safety level in high density en-route airspaces.” Ph.D. dissertation, Technical Univ. of Madrid, Madrid, Spain.
García González, E. J., Nieto, F. J. S., and Izquierdo, M. I. (2007). “Identification and analysis of proximate events in high density enroute airspaces.” Proc., 7th USA/Europe Air Traffic Management Research and Development Seminar, Barcelona, Spain.
Hyndman, R. J., and Shang, H. L. (2010). “Rainbow plots, bagplots and boxplots for functional data.” J. Comput. Graph. Stat., 19(1), 29–45.
ICAO-APAC (International Civil Aviation Organization Asia and Pacific). (2007). “Guidance material on comparison of surveillance technologies (GMST).” ICAO, Beijing.
ICAO (International Civil Aviation Organization). (2005). “Doc 9854: Global air traffic management operational concept.” ICAO, Montreal.
ICAO (International Civil Aviation Organization). (2013a). “Annex 19: Safety management.” ICAO, Montreal.
ICAO (International Civil Aviation Organization). (2013b). “Doc 9859: Safety management manual.” ICAO, Montreal.
MATLAB [Computer software]. MathWorks, Natick, MA.
Perrin, E., Kirwan, B., and Stroup, R. (2007). “A systemic model of ATM safety: The integrated risk picture.” Proc., 7th USA/Europe Air Traffic Management Research and Development Seminar, FAA, Washington, DC.
Pozzi, S., et al. (2011). “Safety monitoring in the age of big data.” 9th USA/Europe Air Traffic Management Research and Development Seminar (ATM2011), FAA, Washington, DC.
Rousseeuw, P. J., Ruts, I., and Tukey, J. W. (1999). “The bagplot: A bivariate boxplot.” Am. Statistician, 53(4), 382–387.
Sáez Nieto, F. J., Arnaldo Valdés, R. M., García González, E. J., McAuley, G., and Izquierdo, M. I. (2010). “Development of a three-dimensional collision risk model tool to assess safety in high density en-route airspaces.” Proc. Inst. Mech. Eng. G, 224(10), 1119–1129.
SESAR (Single European Sky ATM Research). (2014). “D17-validation/verification of the SESAR accident incident model (AIM).” SESAR-JU, Brussels, Belgium.
SESAR (Single European Sky ATM Research). (2016). “Transition ConOps SESAR 2020: Consolidated deliverable with contribution from operational federating projects.” SESAR-JU, Brussels, Belgium.
Sheridan, T. B. (2006). “Next generation air transportation systems: Human-automation interaction and organizational risks.” Proc., 2nd Symp. on Resilience Engineering, Presses des Mines, Antibes-Juan-les-Pins, France.
Suárez Tetzlaff, N., López de Frutos, P., Puntero Parla, E., and Rodríguez Gómez, S. (2014). “Quantifying air traffic controller mental workload.” Proc., 4th SESAR Innovation Days, SESAR-JU, Brussels, Belgium.
Tukey, J. W. (1975). “Mathematics and the picturing of data.” Proc., Int. Congress of Mathematicians, International Mathematical Union, Berlin, 523–531.

Information & Authors

Information

Published In

Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 31Issue 1January 2018

History

Received: Aug 12, 2016
Accepted: Jun 23, 2017
Published online: Nov 15, 2017
Published in print: Jan 1, 2018
Discussion open until: Apr 15, 2018

Permissions

Request permissions for this article.

Authors

Affiliations

Assistant Lecturer, Aeronautical and Space Engineering School, Technical Univ. of Madrid, Pza. Cardenal Cisneros 3, 28040 Madrid, Spain (corresponding author). ORCID: https://orcid.org/0000-0002-7181-0794. E-mail: [email protected]
Fernando Gómez Comendador, Ph.D. [email protected]
Professor, Aeronautical and Space Engineering School, Technical Univ. of Madrid, Pza. Cardenal Cisneros 3, 28040 Madrid, Spain. E-mail: [email protected]
Francisco Javier Sáez Nieto, Ph.D. [email protected]
Reader, Centre for Aeronautics of the School of Aerospace, Transport and Manufacturing, Cranfield Univ., Cranfield MK43 0AL, Bedfordshire, U.K. E-mail: [email protected]
Luis Pérez Sanz, Ph.D. [email protected]
Professor, Aeronautical and Space Engineering School, Technical Univ. of Madrid, Pza. Cardenal Cisneros 3, 28040 Madrid, Spain. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share