Applications of Agent-Based Modeling in Transportation

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".

Deadline for manuscript submissions: 31 March 2024 | Viewed by 1642

Special Issue Editors

Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania
Interests: cybernetics; fuzzy theory; grey systems theory; operations research; strategic management; computational intelligence; business analysis; agent-based modelling
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Nora Chirita
E-Mail Website
Guest Editor
Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, Bucharest, Romania
Interests: cybernetics; strategic management; computational intelligence; business analysis; agent-based modelling; transportation; risk assessment; systems analysis and diagnosis

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. In this context, the Special Issue is dedicated to the practical applications of agent-based modeling in transportation 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 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 under various conditions. 

Potential topics include, but are not limited to:

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

Dr. Camelia Delcea
Prof. Dr. Nora Chirita
Guest Editors

Manuscript Submission Information

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Keywords

  • agent-based modeling
  • agent-based simulation
  • agent-based optimization
  • transportation
  • case studies in transportation
 

Published Papers (2 papers)

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Editorial

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5 pages, 213 KiB  
Editorial
Exploring the Applications of Agent-Based Modeling in Transportation
Appl. Sci. 2023, 13(17), 9815; https://doi.org/10.3390/app13179815 - 30 Aug 2023
Cited by 3 | Viewed by 731
Abstract
Agent-based modeling (ABM) has emerged as a distinct and innovative paradigm offering an alternative to conventional modeling techniques which often rely on equation-based representations to depict specific events or phenomena [...] Full article
(This article belongs to the Special Issue Applications of Agent-Based Modeling in Transportation)

Research

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37 pages, 9348 KiB  
Article
From Data to Insights: A Bibliometric Assessment of Agent-Based Modeling Applications in Transportation
Appl. Sci. 2023, 13(23), 12693; https://doi.org/10.3390/app132312693 - 27 Nov 2023
Cited by 2 | Viewed by 661
Abstract
This paper presents a bibliometric analysis within the research domain dedicated to the utilization of agent-based modeling (ABM) in the field of transportation. By employing specific keywords related to both agent-based modeling and transportation, we have identified and extracted 1016 scholarly papers from [...] Read more.
This paper presents a bibliometric analysis within the research domain dedicated to the utilization of agent-based modeling (ABM) in the field of transportation. By employing specific keywords related to both agent-based modeling and transportation, we have identified and extracted 1016 scholarly papers from the ISI Web of Science database, spanning the period from 2002 to 2023. Through the application of bibliometric methods, we have systematically examined key contributors, affiliations of academic institutions, influential publications, and renowned journals within this domain. Our analysis reveals a consistent and robust growth in scholarly interest pertaining to agent-based modeling in the field of transportation throughout the considered period. Notably, within approximately four decades of ABM’s application in transportation, a distinct upward trajectory began in 2008, culminating in the year 2021. The entire considered period witnessed a remarkable surge in paper production, characterized by an annual growth rate of 21.67%. Furthermore, employing an n-gram analysis, we have delineated and discussed the principal areas within transportation that have progressively benefited from the advancements in agent-based modeling. Prominently, the domains of air transport and road transport have exhibited substantial development over time, while the implications of climate change have emerged as a persistent concern throughout the entire study period. Full article
(This article belongs to the Special Issue Applications of Agent-Based Modeling in Transportation)
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