Data analysis of commercial aircraft landing on the runway airports in Indonesia

• Autorzy: Passarella Rossi , Nurmaini Siti , Rachmatullah Muhammad Naufal , Arsalan Osvari , Kurniati Rizki , Aditya Aditya , Afriansyah Indra Gifari , Fathan Rifqi , Yousnaidi Rani Silvani , Veny Harumi

Identyfikatory

DOI

10.20858/sjsutst.2023.120.15

• Języki publikacji: EN

Abstrakty

EN

A runway excursion is a runway safety issue in which an aircraft exits the runway improperly. Therefore, we believe it is necessary to conduct a data investigation of commercial airplanes landing at the airport in order to provide criticism, learning, and social control to airlines and air service policymakers in Indonesia so that they can become involved in protecting public transportation users, particularly those using air transportation. This study focuses on the procedural safety of commercial airplanes landing on the runway at airports in Indonesia. The data utilized for landing analysis is historical ADS-B data collected and acquired from the Flightradar24 website in 2019. The approach utilized in this study is exploratory data analysis (EDA), in which we explored the dataset to find trusted data (128 tier-1 data points). The results of this study showed that the aircraft that was the object of research was unlikely to land at the Touch Down Zone (TDZ), while the rest showed that its landing was highly likely outside the TDZ.

Słowa kluczowe

EN

ADS-B; procedural landing safety; runway safety; touch down zone

PL

ADS-B; proceduralne bezpieczeństwo lądowania; bezpieczeństwo pasa startowego; strefa przyziemienia

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Transport / Politechnika Śląska
• Rocznik: 2023
• Tom: z. 120
• Strony: 233--247
• Opis fizyczny: Bibliogr. 21 poz.

Twórcy

autor

Passarella Rossi

• Department of Computer Engineering, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia

• https://orcid.org/0000-0002-7243-0451

autor

Nurmaini Siti

• Intelligent System Research Group. Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia

• https://orcid.org/0000-0002-8024-2952

autor

Rachmatullah Muhammad Naufal

• Department of Informatics, Faculty of Computer Science. Universitas Sriwijaya, Palembang, Indonesia

• https://orcid.org/0000-0003-3553-3475

autor

Arsalan Osvari

• Department of Informatics, Faculty of Computer Science. Universitas Sriwijaya, Palembang, Indonesia

• https://orcid.org/0000-0003-3474-5812

autor

Kurniati Rizki

• Department of Informatics, Faculty of Computer Science. Universitas Sriwijaya, Palembang, Indonesia

• https://orcid.org/0000-0002-4737-2659

autor

Aditya Aditya

• Department of Informatics, Faculty of Computer Science. Universitas Sriwijaya, Palembang, Indonesia

• https://orcid.org/0000-0002-5950-0638

autor

Afriansyah Indra Gifari

• Department of Informatics, Faculty of Computer Science. Universitas Sriwijaya, Palembang, Indonesia

• https://orcid.org/0000-0002-9763-491X

autor

Fathan Rifqi

• Department of Informatics, Faculty of Computer Science. Universitas Sriwijaya, Palembang, Indonesia

• https://orcid.org/0000-0002-0854-6214

autor

Yousnaidi Rani Silvani

• Department of Informatics, Faculty of Computer Science. Universitas Sriwijaya, Palembang, Indonesia

• https://orcid.org/0000-0002-6435-7012

autor

Veny Harumi

• College of Engineering, Universiti Teknologi MARA. Shah Alam 40450. Malaysia

• https://orcid.org/0000-0001-6604-3554

Bibliografia

• 1. FAA. „Airplane flying handook (FAA-H-8083-3c)(Flight Standards Service). Available at: https://www.faa.gov/regulations_policies/handbooks_manuals/aviation/airplane_ handbook.
• 2. FAA. „Airline Safety”. Available at: https://www.faa.gov/other_visit/aviation_industry/ airline_operators/airline_safety.
• 3. FAA. „Runway excursion”. Available at: https://www.faa.gov/airports/runway_safety/ excursion.
• 4. Busyairah S.A. 2016. „System specifications for developing an Automatic Dependent Surveillance-Broadcast (ADS-B) monitoring system”. International Journal of Critical Infrastructure Protection 15: 40-46. ISSN: 1874-5482. DOI: https://doi.org/10.1016/j.ijcip.2016.06.004.
• 5. Lambelho M., M. Mitici, S. Pickup, A. Marsden. 2020. „Assessing strategic flight schedules at an airport using machine learning-based flight delay and cancellation predictions”. Journal of Air Transport Management 82: 101737. ISSN: 0969-6997. DOI: https://doi.org/10.1016/j.jairtraman.2019.101737.
• 6. Schultz M., J. Rosenow, X. Olive. 2022. „Data-driven airport management enabled by operational milestones derived from ADS-B messages”. Journal of Air Transport Management 99: 102164. ISSN: 0969-6997. DOI: https://doi.org/10.1016/j.jairtraman.2021.102164.
• 7. KNKT. „Laporan Investigasi”. Available at: https://knkt.go.id/investigasi.
• 8. Lucyana N. 2022. „Implementasi metode k-means dalam analisa penyebab kecelakaan pesawat di indonesia”. Undegraduate Thesis. Universitas Sriwijaya.
• 9. Oktariani. G. 2022. „Analisis Kecelakaan Penerbangan Di Indonesia Menggunakan Metode Agglomerative Hierarchical Clustering”. Undegraduate Thesis. Universitas Sriwijaya.
• 10. Saputra A.D. 2017. „Studi analisis penyebab runway excursion di indonesia berdasarkan data komite nasional keselamatan transportasi (KNKT) tahun 2007-2016”. Warta Ardhia 43(2). ISSN: 0215-9066. DOI: https://doi.org/10.25104/wa.v43i2.305.93-104.
• 11. Boeing. „Statistical summary of commerciat jet airplane Accidents: Worldwide Operations 1959-2020”. Available at: https://www.boeing.com/resources/ boeingdotcom/company/about_bca/pdf/statsum.pdf.
• 12. Kirkland I.D.L., R.E. Caves, M. Hirst, D.E. Pitfield 2003. „The normalisation of aircraft overrun accident data”. Journal of Air Transport Management 9(6): 333-341. ISSN: 0969-6997. DOI: https://doi.org/10.1016/S0969-6997(03)00033-4.
• 13. Shirazi H. “ACRP Report 3: Analysis of Aircraft Overruns and Undershoots for Runway Safety Areas”. National Academies Press. Available at: https://repository.lboro.ac.uk/ articles/report/ACRP_Report_3_Analysis_of_aircraft_overruns_and_undershoots_for_runway_safety_areas/9461387.
• 14. FAA. „AC 150/5220-22B: Engineered Materials Arresting Systems (EMAS) for Aircraft Overruns”. Available at: https://www.faa.gov/documentLibrary/media/Advisory_Circular/ AC_150_5220-22B.pdf.
• 15. Global Runway Safety Simposium. „Engineered arresting systems corporation emasmax Aircraft Arresting Systems for Runway Overrun Protection”. Available at: https://www.icao.int/safety/RunwaySafety/GRSS2011/Documentation/Docs/ESCO Zodiac Aerospace Solutions Workshop Presentation.pdf.
• 16. Stephens. A.T., M.H. Smith. 2012. „Anatomy of an Overrun- what the data tell us about why overruns occur”. In: International Air Safety Seminar. Santiago, Chile. Available at: http://www.fof.aero/presentations/F/o/F/2/0/1/3/Tuesday/013_2013_Boeing.pdf.
• 17. SCImago. (n.d.). „VIZ TOOLS-SCIMAGO GRAPHICA”. Available at: https://www.scimagojr.com/viztools.php.
• 18. Demšar. J., T. Curk, A. Erjavec, Č. Gorup, T. Hočevar, M. Milutinovič, M. Možina, M. Polajnar, M. Toplak, A. Starič, M. Štajdohar, L. Umek, L. Žagar, J. Žbontar, M. Žitnik, B. Zupan. 2013. „Orange: Data Mining Toolbox in Python”. Journal of Machine Learning Research 14: 2349-2353. ISSN: 1532-4435. Available at: http://jmlr.org/papers/v14/demsar13a.html.
• 19. Flightradar24. „How flight tracking works”. Available at : https://www.flightradar24.com/ how-it-works.
• 20. ICAO ASIA and Pacific Office. „ADS-B Implementation and Operations Guidance Document. Edition 14.0”. Available at: https://www.icao.int/APAC/Documents/ edocs/Revised%20ADS-B%20Implementation%20and%20Operations%20Guidance% 20Document%20(AIGD)%20Edition%2014.pdf.
• 21. Robusto C.C. 1957. “The Cosine-Haversine Formula”. The American Mathematical Monthly 64(1): 38-40. ISSN: 0002-9890. DOI: https://doi.org/10.2307/2309088.