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An overview of agent-based traffic simulators

Nguyen, Johannes; Powers, Simon T.; Urquhart, Neil; Farrenkopf, Thomas; Guckert, Michael


Johannes Nguyen

Simon T. Powers

Thomas Farrenkopf

Michael Guckert


Individual traffic significantly contributes to climate change and environmental degradation. Therefore, innovation in sustainable mobility is gaining importance as it helps to reduce environmental pollution. However, effects of new ideas in mobility are difficult to estimate in advance and strongly depend on the individual traffic participants. The application of agent technology is particularly promising as it focuses on modelling heterogeneous individual preferences and behaviours. In this paper, we show how agent-based models are particularly suitable to address three pressing research topics in mobility: 1. Social dilemmas in resource utilisation; 2. Digital connectivity; and 3. New forms of mobility. We then explain how the features of several agent-based simulators are suitable for addressing these topics. We assess the capability of simulators to model individual travel behaviour, discussing implemented features and identifying gaps in functionality that we consider important.


Nguyen, J., Powers, S. T., Urquhart, N., Farrenkopf, T., & Guckert, M. (2021). An overview of agent-based traffic simulators. Transportation Research Interdisciplinary Perspectives, 12, Article 100486.

Journal Article Type Article
Acceptance Date Oct 17, 2021
Online Publication Date Nov 9, 2021
Publication Date 2021-12
Deposit Date Feb 1, 2022
Publicly Available Date Feb 1, 2022
Journal Transportation Research Interdisciplinary Perspectives
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 12
Article Number 100486
Keywords Traffic simulation, Multi-agent systems, Simulation software
Public URL


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