Demo Paper

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

Conference paper (2021)

Authors

S.S. Mohammadi Ziabari Air Transport & Operations - Aerospace Engineering
A. Mekić Air Transport & Operations - Aerospace Engineering
Alexei Sharpanskykh Air Transport & Operations - Aerospace Engineering
Research Group
Air Transport & Operations (Aerospace Engineering) (TU Delft)
Copyright: © 2021 S.S. Mohammadi Ziabari, Gregory Sanders, A. Mekić, Alexei Sharpanskykh
DOI: https://doi.org/10.1007/978-3-030-85739-4_32
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Published Date

2021

Language

English

Reuse Rights

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Faculty

Aerospace Engineering

Department

Control & Operations

Research Group

Air Transport & Operations

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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