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Agent-Based Modeling of Traffic Systems Using Modelica

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dc.contributor.authorSanz Prat, Víctorino
dc.contributor.authorUrquía Moraleda, Alfonso
dc.date.accessioned2024-05-20T11:35:21Z
dc.date.available2024-05-20T11:35:21Z
dc.date.issued2022-12
dc.description.abstractA microsimulation model of traffic described using the Modelica language in combination with the Modelica libraries developed by the authors, ABMLib and CellularAutomataLib2, is presented. Modelica facilitates the description of equation-based models using the physical modeling paradigm, and its combination with the discrete-event and agent-based modeling functionality of the developed libraries constitutes a powerful and versatile tool. The functionality of ABMLib is extended to facilitate the description of individual agent behavior as a combination of equation-based and discrete-event models. In this way, vehicle dynamics and fuel consumption are modeled using equations, while driver behavior is described using an agent-based model. Vehicles move along the road, which is described as a combination of interconnected segments that constitute the environment for the agents. A cellular automaton is used to model the CO2 emissions of vehicles to the environment. A model that represents two consecutive road segments with a semaphore between them is used to illustrate the provided functionality.en
dc.description.versionversión final
dc.identifier.doihttp://doi.org/10.1109/MCSE.2023.3267327
dc.identifier.issn1558-366X
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12268
dc.journal.issue4
dc.journal.titleComputing in Science & Engineering
dc.journal.volume26
dc.language.isoen
dc.publisherIEEE
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentInformática y Automática
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject.keywordsTraffic control
dc.subject.keywordsEurope
dc.subject.keywordsAgent-based modeling
dc.subject.keywordsMathematical models
dc.subject.keywordsLibraries
dc.subject.keywordsBehavioral sciences
dc.subject.keywordsRoad traffic
dc.titleAgent-Based Modeling of Traffic Systems Using Modelicaes
dc.typejournal articleen
dc.typeartículoes
dspace.entity.typePublication
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