A model to simulate passenger flow congestion in airport environment

  • Abstract
  • Keywords
  • References
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  • Abstract

    The global air transport industry is expanding rapidly. New approaches to airport management are required to ensure that ever-increasing consumer demand is met with adequate developments of ground operational and processing facilities; particularly those related to effective and safe processing of passenger flows. The solution to this problem requires, development of a new generation of fast, reliable, decision-making tools to quickly mobilise the human and technical resources available at modern airports. Opera-tional research aimed at developing novel airport optimization simulations to empower efficient management decisions is therefore a rapidly advancing field. The research conducted in this study highlighted the improvements to be made for better passenger flow modelling in airport environment. These models can be classified as either ‘analytical’, ‘simulation’, or ‘hybrid’ models, giving decision support capabilities at all levels of detail: from macroscopic, through mesoscopic, to microscopic. However, despite the current developments in understanding passenger flow, the literature suggests that an aggregate model, integrating both outbound and inbound processes, is still needed. The main aim of this research is to develop a generic, holistic simulation model that can optimise passenger flow that can be adopted in any airport environment. Included in this are major outbound and inbound processes such as check-in, security screening, and immigration. The model supports what-if and trade-off analyses by inclusion of a problem-oriented approach.

  • Keywords

    Passenger Flow; Airport Operational Planning; Airport Modelling; Simulation; Discrete Event Simulation

  • References

      [1] ICAO. Continued passenger traffic growth and robust air cargo demand in 2017 2018 [cited 2018 20-07]; Available from: https://www.icao.int/Newsroom/Pages/Continued-passenger-traffic-growth-and-robust-air-cargo-demand-in-2017.aspx.

      [2] Ma, W., Agent-based model of passenger flows in airport terminals. 2013, Queensland University of Technology.

      [3] Ma, W., et al. Check-in processing: simulation of passengers with advanced traits. in Proceedings of the Winter Simulation Conference. 2011. Winter Simulation Conference. https://doi.org/10.1109/WSC.2011.6147893.

      [4] Beck, A., Case study: modelling passenger flows in Heathrow Terminal 5. Journal of Simulation, 2011. 5(2): p. 69-76. https://doi.org/10.1057/jos.2011.4.

      [5] Yamada, H., et al., Modeling and managing airport passenger flow under uncertainty: A case of fukuoka airport in Japan. 2017, Springer Verlag. p. 419-430. https://doi.org/10.1007/978-3-319-67256-4_33.

      [6] van Boekhold, J., A. Faghri, and M. Li, Evaluating security screening checkpoints for domestic flights using a general microscopic simulation model. Journal of Transportation Security, 2014. 7(1): p. 45-67. https://doi.org/10.1007/s12198-013-0129-8.

      [7] Kierzkowski, A. and T. Kisiel. An impact of the operators and passengers behavior on the airport's security screening reliability. in Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, ESREL 2014. 2015. https://doi.org/10.1201/b17399-322.

      [8] Dorton, S. and D. Liu, Effects of Baggage Volume and Alarm Rate on Airport Security Screening Checkpoint Efficiency using Queuing Networks and Discrete Event Simulation. Human Factors and Ergonomics in Manufacturing & Service Industries, 2015. https://doi.org/10.1002/hfm.20616.

      [9] Chitty, D.M., S. Yang, and M. Gongora, Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules. 2017, IEEE. p. 1-8. https://doi.org/10.1109/SSCI.2017.8285177

      [10] Alodhaibi, S., R.L. Burdet.t, and P.K.D.V. Yarlagadda, Framework for Airport Outbound Passenger Flow Modelling. Procedia Engineering, 2017. 174: p. 1100-1109. https://doi.org/10.1016/j.proeng.2017.01.263.

      [11] Alodhaibi, S., R.L. Burdett, and P.K.D.V. Yarlagadda, Impact of Passenger-Arrival Patterns in Outbound Processes of Airports. Procedia Manufacturing, 2019. 30: p. 323-330. https://doi.org/10.1016/j.promfg.2019.02.046.

      [12] Kazda, A. and R.E. Caves, Airport Design and Operation. 2015, Emerald Group Publishing Limited: Bingley, UNKNOWN.

      [13] Kirk, P.J., Passenger experience at airports : An activity-centred approach. 2013, Queensland University of Technology.




Article ID: 19417
DOI: 10.14419/ijet.v7i4.19417

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