An overview of agent-based traffic simulators

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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Johannes Nguyen, Simon T. Powers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Traffic simulation Multi-agent systems Simulation software Transportation and communications HE1-9990
Acceso en línea:	https://doaj.org/article/ec5627b1de3344b9bcb121e9a5595a54
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:ec5627b1de3344b9bcb121e9a5595a54
record_format	dspace
spelling	oai:doaj.org-article:ec5627b1de3344b9bcb121e9a5595a542021-11-10T04:40:59ZAn overview of agent-based traffic simulators2590-198210.1016/j.trip.2021.100486https://doaj.org/article/ec5627b1de3344b9bcb121e9a5595a542021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2590198221001913https://doaj.org/toc/2590-1982Individual 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.Johannes NguyenSimon T. PowersNeil UrquhartThomas FarrenkopfMichael GuckertElsevierarticleTraffic simulationMulti-agent systemsSimulation softwareTransportation and communicationsHE1-9990ENTransportation Research Interdisciplinary Perspectives, Vol 12, Iss , Pp 100486- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Traffic simulation Multi-agent systems Simulation software Transportation and communications HE1-9990
spellingShingle	Traffic simulation Multi-agent systems Simulation software Transportation and communications HE1-9990 Johannes Nguyen Simon T. Powers Neil Urquhart Thomas Farrenkopf Michael Guckert An overview of agent-based traffic simulators
description	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.
format	article
author	Johannes Nguyen Simon T. Powers Neil Urquhart Thomas Farrenkopf Michael Guckert
author_facet	Johannes Nguyen Simon T. Powers Neil Urquhart Thomas Farrenkopf Michael Guckert
author_sort	Johannes Nguyen
title	An overview of agent-based traffic simulators
title_short	An overview of agent-based traffic simulators
title_full	An overview of agent-based traffic simulators
title_fullStr	An overview of agent-based traffic simulators
title_full_unstemmed	An overview of agent-based traffic simulators
title_sort	overview of agent-based traffic simulators
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/ec5627b1de3344b9bcb121e9a5595a54
work_keys_str_mv	AT johannesnguyen anoverviewofagentbasedtrafficsimulators AT simontpowers anoverviewofagentbasedtrafficsimulators AT neilurquhart anoverviewofagentbasedtrafficsimulators AT thomasfarrenkopf anoverviewofagentbasedtrafficsimulators AT michaelguckert anoverviewofagentbasedtrafficsimulators AT johannesnguyen overviewofagentbasedtrafficsimulators AT simontpowers overviewofagentbasedtrafficsimulators AT neilurquhart overviewofagentbasedtrafficsimulators AT thomasfarrenkopf overviewofagentbasedtrafficsimulators AT michaelguckert overviewofagentbasedtrafficsimulators
_version_	1718440610948448256

An overview of agent-based traffic simulators

Ejemplares similares