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International Conference on Practical Applications of Agents and Multi-Agent Systems

PAAMS 2021: Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection pp 359–362Cite as

Demo Paper: A Tool for Analyzing COVID-19-Related Measurements Using Agent-Based Support Simulator for Airport Terminal Operations

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12946))

Abstract

This paper presents a demonstration of our PAAMS 2021 paper using data-driven analysis of airport terminal operations and An Agent-based Airport Terminal Operations Model Simulator (AATOM). The goal of this paper is to demonstrate and analyze the impact of the current COVID-19 and future pandemic-related measures on airport terminal operations and to identify plans that airport management agents can take into account to control the flow of passengers in a safe, efficient, secure and resilient way. To analyze the impact of the identified COVID-19 measures on the airport operations, the existing agent-based AATOM model was need to be modified in order to implement these measures. In this paper, we illustrate a demo of a developed simulator tool by investigating the effects of different degrees of physical distancing rules among agents on the performances of the airport. In the demo session the attendees will have the possibility to (i) work with the simulator tool on different relevant parameters regarding different sections and agents in the airport; (ii) view and analyze different performance indicator analyzers of the simulator.

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1. References

  1. Janssen, S., Sharpanskykh, A., Curran, R., Langendoen, K.: AATOM: an agent-based airport terminal operations model simulator. In: SummerSim, pp. 20–1, July 2019

    Google Scholar 

  2. Helbing, D., Balietti, S.: How to do agent-based simulations in the future: from modeling social mechanisms to emergent phenomena and interactive systems design. Technical report 11-06-024 (2015)

    Google Scholar 

  3. Janssen, S., Blok, A.N., Knol, A.: Aatom-an agent-based airport terminal operations model (2018)

    Google Scholar 

  4. Schultz, M., Oreschko, B., Schulz, C., Fricke, H.: Tracking Passengers at Airports for User Driven Terminal Design

    Google Scholar 

  5. ACI launches accreditation program to assess airport health measures. Airport Council International ACI (2020). https://aci.aero/news/2020/07/24/. Accessed 03 Mar 2021

  6. Yu, I.T., et al.: Evidence of airborne transmission of the severe acute respiratory syndrome virus. N. Engl. J. Med. 350(17), 1731–1739 (2004)

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Author information

Authors and Affiliations

  1. Delft University of Technology, Delft, The Netherlands

    S. Sahand Mohammadi Ziabari, Gregory Sanders, Adin Mekic & Alexei Sharpanskykh

Authors
  1. S. Sahand Mohammadi Ziabari
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  2. Gregory Sanders
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  3. Adin Mekic
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  4. Alexei Sharpanskykh
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Editor information

Editors and Affiliations

  1. Umeå University, Umeå, Sweden

    Frank Dignum

  2. Universidad de Salamanca, Salamanca, Salamanca, Spain

    Juan Manuel Corchado

  3. University of Salamanca, Salamanca, Spain

    Fernando De La Prieta

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Ziabari, S.S.M., Sanders, G., Mekic, A., Sharpanskykh, A. (2021). Demo Paper: A Tool for Analyzing COVID-19-Related Measurements Using Agent-Based Support Simulator for Airport Terminal Operations. In: Dignum, F., Corchado, J.M., De La Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS 2021. Lecture Notes in Computer Science(), vol 12946. Springer, Cham. https://doi.org/10.1007/978-3-030-85739-4_32

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  • DOI: https://doi.org/10.1007/978-3-030-85739-4_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85738-7

  • Online ISBN: 978-3-030-85739-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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