Agent-based models in urban transportation: review, challenges, and opportunities

Bastarianto, Faza Fawzan and Hancock, Thomas O. and Choudhury, Charisma Farheen and Manley, Ed (2023) Agent-based models in urban transportation: review, challenges, and opportunities. European Transport Research Review, 15 (1). pp. 1-20. ISSN 18668887

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Abstract

Objective: This paper aims to provide a comprehensive overview of the current state of agent-based models, focusing specifically on their application in urban transportation research. It identifies research gaps and challenges while outlining the key potential directions for future research. Methodology: To conduct this study, a bibliometric analysis has been performed on 309 documents obtained from the Scopus database. The resulting clustering analysis has been further supplemented with content analysis. Findings: The analysis reveals the existence of nine distinct clusters representing a wide range of research methods and problem interpretations in the field. In-depth examination of selected publications within each cluster has helped to identify key challenges faced by agent-based modelling approaches. These challenges include enhancing computing efficiency, developing unified calibration and validation methods, ensuring reproducibility of work, and incorporating various modules or frameworks into models to accurately replicate the complexities of the transport system and travel behaviour within specific application contexts.

Item Type: Article
Uncontrolled Keywords: Agent-based models,Bibliometric,Literature review,Travel behaviour,Urban transport
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering > Civil Engineering & The Enviromental Department
Depositing User: Rita Yulianti Yulianti
Date Deposited: 27 Mar 2024 03:55
Last Modified: 27 Mar 2024 03:55
URI: https://ir.lib.ugm.ac.id/id/eprint/491

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