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Simulating the actions of commuters using a multi-agent system

Urquhart, Neil; Powers, Simon; Wall, Zoe; Fonzone, Achille; Ge, Jiaqi; Polhill, Gary


Zoe Wall

Jiaqi Ge

Gary Polhill


The activity of commuting to and from a place of work affects not only those travelling but also wider society through their contribution to congestion and pollution. It is desirable to have a means of simulating commuting in order to allow organisations to predict the effects of changes to working patterns and locations and inform decision making. In this paper we outline an agent-based software framework that combines real-world data from multiple sources to simulate the actions of commuters. We demonstrate the framework using data supplied by an employer based in the City of Edinburgh UK. We demonstrate that the BDI-inspired decision making framework used is capable of forecasting the transportation modes to be used. Finally we present a case study, demonstrating the use of the framework to predict the impact of moving staff within the organisation to a new work site.


Urquhart, N., Powers, S., Wall, Z., Fonzone, A., Ge, J., & Polhill, G. (2019). Simulating the actions of commuters using a multi-agent system. Journal of Artificial Societies and Social Simulation, 22(2),

Journal Article Type Article
Acceptance Date Feb 2, 2019
Online Publication Date Mar 31, 2019
Publication Date 2019-03
Deposit Date Feb 7, 2019
Publicly Available Date Mar 31, 2019
Journal Journal of Artificial Societies and Social Simulation
Print ISSN 1460-7425
Publisher SimSoc Consortium
Peer Reviewed Peer Reviewed
Volume 22
Issue 2
Keywords Transport mode choice, transport network, BDI agent,
Public URL


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