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

S. Sahand Mohammadi Ziabari; Gregory Sanders; Adin Mekic; Alexei Sharpanskykh

doi:10.1007/978-3-030-85739-4_32

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

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

^*Corresponding author for this work

Air Transport & Operations

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

53 Downloads (Pure)

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.

Original language	English
Title of host publication	Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection - 19th International Conference, PAAMS 2021, Proceedings
Editors	Frank Dignum, Juan Manuel Corchado, Fernando De La Prieta
Publisher	Springer
Pages	359-362
Number of pages	4
Volume	12946
ISBN (Print)	978-3-030-85738-7
DOIs	https://doi.org/10.1007/978-3-030-85739-4_32
Publication status	Published - 2021
Event	19th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2021 - Salamanca, Spain Duration: 6 Oct 2021 → 8 Oct 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12946 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2021
Country/Territory	Spain
City	Salamanca
Period	6/10/21 → 8/10/21

Keywords

AATOM
Airport operations
Analyzer
Physical distancing

Access to Document

10.1007/978-3-030-85739-4_32

Demo Paper_PAAMS2021RAccepted author manuscript, 454 KB

Cite this

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 F. Dignum, J. M. Corchado, & F. De La Prieta (Eds.), Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection - 19th International Conference, PAAMS 2021, Proceedings (Vol. 12946, pp. 359-362). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12946 LNAI). Springer. https://doi.org/10.1007/978-3-030-85739-4_32

Ziabari, S. Sahand Mohammadi ; Sanders, Gregory ; Mekic, Adin et al. / Demo Paper : A Tool for Analyzing COVID-19-Related Measurements Using Agent-Based Support Simulator for Airport Terminal Operations. Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection - 19th International Conference, PAAMS 2021, Proceedings. editor / Frank Dignum ; Juan Manuel Corchado ; Fernando De La Prieta. Vol. 12946 Springer, 2021. pp. 359-362 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

keywords = "AATOM, Airport operations, Analyzer, Physical distancing",

author = "Ziabari, {S. Sahand Mohammadi} and Gregory Sanders and Adin Mekic and Alexei Sharpanskykh",

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editor = "Frank Dignum and Corchado, {Juan Manuel} and {De La Prieta}, Fernando",

booktitle = "Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection - 19th International Conference, PAAMS 2021, Proceedings",

note = "19th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2021 ; Conference date: 06-10-2021 Through 08-10-2021",

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Ziabari, SSM, 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 F Dignum, JM Corchado & F De La Prieta (eds), Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection - 19th International Conference, PAAMS 2021, Proceedings. vol. 12946, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12946 LNAI, Springer, pp. 359-362, 19th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2021, Salamanca, Spain, 6/10/21. https://doi.org/10.1007/978-3-030-85739-4_32

Demo Paper: A Tool for Analyzing COVID-19-Related Measurements Using Agent-Based Support Simulator for Airport Terminal Operations. / Ziabari, S. Sahand Mohammadi; Sanders, Gregory; Mekic, Adin et al.
Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection - 19th International Conference, PAAMS 2021, Proceedings. ed. / Frank Dignum; Juan Manuel Corchado; Fernando De La Prieta. Vol. 12946 Springer, 2021. p. 359-362 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12946 LNAI).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Demo Paper

T2 - 19th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2021

AU - Ziabari, S. Sahand Mohammadi

AU - Sanders, Gregory

AU - Mekic, Adin

AU - Sharpanskykh, Alexei

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - AATOM

KW - Airport operations

KW - Analyzer

KW - Physical distancing

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DO - 10.1007/978-3-030-85739-4_32

M3 - Conference contribution

AN - SCOPUS:85116318786

SN - 978-3-030-85738-7

VL - 12946

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 359

EP - 362

BT - Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection - 19th International Conference, PAAMS 2021, Proceedings

A2 - Dignum, Frank

A2 - Corchado, Juan Manuel

A2 - De La Prieta, Fernando

PB - Springer

Y2 - 6 October 2021 through 8 October 2021

ER -

Ziabari SSM, Sanders G, Mekic A, Sharpanskykh A. Demo Paper: A Tool for Analyzing COVID-19-Related Measurements Using Agent-Based Support Simulator for Airport Terminal Operations. In Dignum F, Corchado JM, De La Prieta F, editors, Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection - 19th International Conference, PAAMS 2021, Proceedings. Vol. 12946. Springer. 2021. p. 359-362. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-85739-4_32

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

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IBM award of scientific excellence

Cite this

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Prizes

IBM award of scientific excellence

Cite this