Applied Sciences

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Special Issue Information

Dear Colleagues,

Agent-based modeling has succeeded in providing the needed framework for modeling various aspects related to our everyday life, both in normal and pandemic life conditions. Transportation represents one of the base structures of our modern life as it ensures the proper movement of goods, people and animals from one location to another, either by air, sea, road, cable, pipeline or space. On the other hand, logistics offers the needed knowledge for planning, implementing and controlling procedures that can ensure efficient and effective transportation and storage of goods. In this context, the Special Issue is dedicated to the practical applications of agent-based modeling in transportation and logistics and plans to give an overview of the most recent advances in this field. This Special Issue is aimed at providing selected contributions on advances in both transportation and logistics by means of agent-based modeling or other similar modeling techniques. Additionally, the authors are encouraged to submit papers addressing the state-of-the-art or case studies featuring practical applications of agent-based modeling in transportation and logistics under various conditions.

Potential topics include, but are not limited to:

Role of agent-based modeling in transportation and/or logistics
Conceptual frameworks for agent-based modeling in transportation and/or logistic
Agent-based simulation in transportation and/or logistics
Agent-based optimization of transportation and/or logistics
Advancements in agent-based modeling and/or similar modeling techniques in transportation and/or logistics
Hybrid approaches in transportation and/or logistics modeling
Specific applications in transportation and/or logistics solvable using agent-based modeling and/or similar modeling techniques
Practical case studies

Prof. Dr. Camelia Delcea
Guest Editor

Manuscript Submission Information

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Keywords

agent-based modeling
agent-based simulation
agent-based optimization
transportation and logistics

Published Papers (1 paper)

Research

24 pages, 4807 KiB

Open AccessArticle

Evaluating Classical Airplane Boarding Methods for Passenger Health during Normal Times

by Camelia Delcea, R. John Milne and Liviu-Adrian Cotfas

Appl. Sci. 2022, 12(7), 3235; https://doi.org/10.3390/app12073235 - 22 Mar 2022

Cited by 2 | Viewed by 1840

Abstract

The COVID-19 pandemic has produced changes in the entire aviation industry, including adjustments by airlines to keep the middle seats of airplanes empty to reduce the risk of disease spread. In this context, the scientific literature has introduced new metrics related to passengers’ health when comparing airplane boarding methods in addition to the previous objective of minimizing boarding time. As the pandemic concludes and the aviation industry returns to the pre-pandemic situation, we leverage what we learned during the pandemic to reduce the health risk to passengers when they are not social distancing. In this paper, we examine the performance of classical airplane boarding methods in normal times but while considering the health metrics established during the pandemic and new metrics related to passenger health in the absence of social distancing. In addition to being helpful in normal times, the analysis may be particularly helpful in situations when people think everything is normal but an epidemic has begun prior to being acknowledged by the medical scientific community. The reverse pyramid boarding method provides favorable values for most health metrics in this context while also minimizing the time to complete boarding of the airplane. Full article

(This article belongs to the Special Issue Agent-Based Modeling for Transportation and Logistics)

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