Functional Readiness of the Security Control System at an Airport with Single-Report Streams

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 365)

Abstract

The article presents a developed universal simulation model supporting the design process of the security control area at the airport. The universality of the simulation model allows for its use for the adaptation of the size of the security control area which consists of security check stations with a single flow of passenger streams to the forecast intensity of reporting passengers. The presented model is mostly intended for regional airports, where the security control is conducted using a metal detector and an x-ray device. The functional readiness of the designed system is analysed in terms of the forecast intensity of passenger reports. The functioning of the simulation model is based on time characteristics determined on the basis of research conducted on a real system which allowed for the verification of the functioning of the model. It is also possible to introduce one’s own characteristics to optimise another existing real system.

Keywords

simulation model security control functional readiness 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bevilacqua, M., Ciarapica, F.E.: Analysis of check-in procedure using simulation: a case study. In: IEEE Int. Conf. Industrial Engineering and Engineering Management (IEEM), pp. 1621–1625 (2010)Google Scholar
  2. 2.
    Bujak, A., Zając, P.: Can the increasing of energy consumption of information interchange be a factor that reduces the total energy consumption of a logistic warehouse system? In: Mikulski, J. (ed.) TST 2012. CCIS, vol. 329, pp. 199–210. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  3. 3.
    Cooper, R.B.: Introduction to queueing theory, 2nd edn. Elsevier North Holland, New York (1981)Google Scholar
  4. 4.
    Ustaw, D.: The Regulation of the Minister of Transport, Construction and Maritime Economy of 31 July 2012 on the National Civil Aviation Security Program. Journal of Laws of the Republic of Poland 2012 Item 912Google Scholar
  5. 5.
    Eilon, S., Mathewson, S.: A simulation study for the design of an air terminal building. IEEE Transactions on Systems, Man and Cybernetics 3(4), 308–317 (1973)CrossRefGoogle Scholar
  6. 6.
    EC, Commision Regulation (EC) No 300/2008 of 11 March 2008 on common rules in the field of civil aviation security and repealing Regulation (EC) No 2320/2002 Google Scholar
  7. 7.
    EC, Commission Regulation (EC) No 272/2009 of 2 April 2009 supplementing the common basic standards on civil aviation security laid down in the Annex to Regulation (EC) No 300/2008 of the European Parliament and of the CouncilGoogle Scholar
  8. 8.
    EU, Commission Regulation (EU) No 185/2010 of 4 March 2010 laying down detailed measures for the implementation of the common basic standards on aviation securityGoogle Scholar
  9. 9.
    Gkritza, K., Niemeier, D., Mannering, F.: Airport Security Screenning and changing passenger satisfaction: An exploratory assessment. Journal of Air Transport Management 12(5), 213–219 (2006)CrossRefGoogle Scholar
  10. 10.
    Greghi, M., Rossi, T., de Souza, J., Menegon, N.: Brazilian passengers’ perceptions of air travel: evidences from a survey. Journal of Air Transport Management 31, 27–31 (2013)CrossRefGoogle Scholar
  11. 11.
    Hamzawi, S.G.: Lack of airport capacity: exploration of alternative solutions. Transportation Research Part A 26(1), 47–58 (1992)Google Scholar
  12. 12.
    ICAO, Safety Management Manual (SMM), 3rd edn., International Civil Aviation Organization (2013)Google Scholar
  13. 13.
    Jodejko-Pietruczuk, A., Werbińska-Wojciechowska, S.: Analiza parametrów modeli obsługiwania systemów technicznych z opóźnieniami czasowymi. Eksploatacja i Niezawodność – Maintenence and Reliability 16(2), 288–294 (2014)Google Scholar
  14. 14.
    Kierzkowski, A., Kisiel, T.: Wyznaczanie podstawowych charakterystyk procesu kontroli bezpieczeństwa dla zimowego sezonu lotniczego z wykorzystaniem modelu symulacyjnego łączonego stanowiska obsługi. Prace Naukowe Politechniki Warszawskiej. Transport, z 103, 113–123 (2014)Google Scholar
  15. 15.
    Kierzkowski, A., Kisiel, T.: Wyznaczanie podstawowych charakterystyk dla zimowego rozkładu lotów modelu symulacyjnego funkcjonowania pojedynczego stanowiska kontroli bezpieczeństwa. Logistyka (3), 2910–2919 (2014)Google Scholar
  16. 16.
    Kowalski, M., Magott, J., Nowakowski, T., Werbinska-Wojciechowska, S.: Analysis of transportation system with the use of Petri nets. Eksploatacja i Niezawodnosc – Maintenance and Reliability (1), 48–62 (2011)Google Scholar
  17. 17.
    Lemer, A.C.: Measuring performance of airport passenger terminals. Transportation Research Part A: Policy and Practice 26(1), 37–45 (1992)Google Scholar
  18. 18.
    Magott, J., Nowakowski, T., Skrobanek, P., Werbinska, S.: Analysis of possibilities of timing dependencies modeling-Example of logistic support system. In: Martorell, S., Guedes Soares, C., Barnett, J. (eds.) Safety, Reliability and Risk Analysis: Theory, Methods and Applications, vol. 2, pp. 1055–1063. CRC Press; Taylor & Francis, Boca Raton (2009)Google Scholar
  19. 19.
    Manataki, I.E., Zografos, K.G.: Assessing airport terminal performance using a system dynamics model. Journal of Air Transport Management 16(2), 86–93 (2010)CrossRefGoogle Scholar
  20. 20.
    McCullough, B.F., Roberts, F.L.: Decision tool for analysis of capacity of airport terminal. Transportation Research Record 732, 41–54 (1979)Google Scholar
  21. 21.
    McKelvey, F.X.: Use of an analytical queuing model for airport terminal design. Transportation Research Record 1199, 4–11 (1989)Google Scholar
  22. 22.
    Nowakowski, T., Werbińka, S.: On problems of multicomponent system maintenance modelling. International Journal of Automation and Computing 6(4), 364–378 (2009)CrossRefGoogle Scholar
  23. 23.
    Nowakowski, T., Zając, M.: Analysis of reliability model of combined transportation system. In: Advances in Safety and Reliability - Proceedings of the European Safety and Reliability Conference, ESREL 2005, pp. 147–151 (2005)Google Scholar
  24. 24.
    Plewa, M.: Assessment of influence of products’ reliability on remanufacturing processes. International Journal of Performability Engineering, 463–470 (2009)Google Scholar
  25. 25.
    Restel, F.: The Markov reliability and safety model of the railway transportation system. In: Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, pp. 303–311 (2014)Google Scholar
  26. 26.
    Restel, F.: Train punctuality model for a selected part of railway transportation system. In: Safety, Reliability and Risk Analysis: Beyond the Horizon - Proceedings of the European Safety and Reliability Conference, pp. 3013–3019 (2013)Google Scholar
  27. 27.
    Roanes-Lozano, E., Laita, L.M., Roanes-Macas, E.: An accelerated-time simulation of departing passengers’ flow in airport terminals. Mathematics and Computers in Simulation 67(1-2), 163–172 (2004)CrossRefMATHMathSciNetGoogle Scholar
  28. 28.
    Saffarzadeh, M., Braaksma, J.P.: Optimum design and operation of airport passenger terminal buildings. Transportation Research Record 1703, 72–82 (2000)CrossRefGoogle Scholar
  29. 29.
    Siergiejczyk, M., Krzykowska, K.: Some issues of data quality analysis of automatic surveillance at the airport, Diagnostyka (2014)Google Scholar
  30. 30.
    Siergiejczyk, M., Krzykowska, K., Rosinski, A.: Parameters Analysis of Satellite Support System in Air Navigation. In: Selvaraj, H., Zydek, D., Chmaj, G. (eds.) Progress in Systems Engineering: Proceedings of the Twenty-Third International Conference on Systems Engineering. AISC, vol. 330, pp. 673–678. Springer, Switzerland (2015)CrossRefGoogle Scholar
  31. 31.
    Skorupski, J., Stelmach, A.: Selected models of service processes at the airport. Systems Science 34(3), 51–59 (2008)MATHMathSciNetGoogle Scholar
  32. 32.
    Stańczyk, P., Stelmach, A.: The use on-board flight recorder in the modeling process of air-craft landing operations. In: Nowakowski, T. (red.) Safety and Reliability: Methodology and Applications – Proceeding of the European Safety and Reliability Conference, ESREL 2014. Wydawnictwo Politechniki Warszawskiej (2015) ISBN 978-1-138-02681-0, ss. 2029, doi:10.1201/b17399-278Google Scholar
  33. 33.
    Stańczyk, P., Stelmach, A.: Artificial Neural Networks Applied to the Modeling of Aircraft Landing Phase. In: 10th European Conference of Young Research and Scientists - Proceedings, Zilina, pp. 169–173 (2013) ISBN:978-80-554-0690-9Google Scholar
  34. 34.
    Solak, S., Clarke, J.-P.B., Johnson, E.L.: Airport terminal capacity planning. Transportation Research Part B: Methodological 43(6), 659–676 (2009)CrossRefGoogle Scholar
  35. 35.
    Stelmach, A., Malarski, M., Skorupski, J.: Model of airport terminal area capacity investigation. In: Proceedings of the European Safety and Reliability Conference 2006, ESREL 2006 - Safety and Reliability for Managing Risk, vol. 3, pp. 1863–1868 (2006)Google Scholar
  36. 36.
    Walkowiak, T.: Symulacyjna ocena gotowości usług systemów internetowych z realistycznym modelem czasu odnowy. Eksploatacja i Niezawodność – Maintenence and Reliability 16(2), 341–346 (2014)Google Scholar
  37. 37.
    Ważyńska-Fiok, K., Jaźwiński, J.: Niezawodność Systemów Technicznych. Państwowe Wydawnictwo Naukowe, Warszawa (1990)Google Scholar
  38. 38.
    Werbinska-Wojciechowska, S.: Time resource problem in logistics systems dependability modelling. Eksploatacja i Niezawodnosc – Maintenance and Reliability (4), 427–433 (2013)Google Scholar
  39. 39.
    Vališ, D., Koucký, M., Žák, L.: On approaches for non-direct determination of system deterioration. Eksploatacja i Niezawodnosc - Maintenance and Reliability 14(1), 33–41 (2012)Google Scholar
  40. 40.
    Vališ, D., Vintr, Z., Malach, J.: Selected aspects of physical structures vulnerability – state-of-the-art. Eksploatacja i Niezawodnosc – Maintenance and Reliability 14(3), 189–194 (2012)Google Scholar
  41. 41.
    Vališ, D., Pietrucha-Urbanik, K.: Utilization of diffusion processes and fuzzy logic for vulnerability assessment. Eksploatacja i Niezawodnosc - Maintenance and Reliability 16(1), 48–55 (2014)Google Scholar
  42. 42.
    Zając, M., Świeboda, J.: Analysis of the process of unloading containers at the inland container terminal. In: Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, ESREL 2014, pp. 1237–1241 (2014)Google Scholar
  43. 43.
    Zając, P.: The idea of the model of evaluation of logistics warehouse systems with taking their energy consumption under consideration. Archives of Civil and Mechanical Engineering 11(2), 479–492 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Wroclaw University of TechnologyWrocławPoland

Personalised recommendations