dc.creator | García-Suárez, Amaro | es |
dc.creator | Guisado Lízar, José Luís | es |
dc.creator | Díaz del Río, Fernando | es |
dc.creator | Jiménez-Morales, Francisco de Paula | es |
dc.date.accessioned | 2021-06-21T09:02:49Z | |
dc.date.available | 2021-06-21T09:02:49Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | García-Suárez, A., Guisado Lízar, J.L., Díaz del Río, F. y Jiménez-Morales, F. (2021). A Cellular Automata Agent-Based Hybrid Simulation Tool to Analyze the Deployment of Electric Vehicle Charging Stations. Sustainability, 13 (10) | |
dc.identifier.issn | 2071-1050 | es |
dc.identifier.uri | https://hdl.handle.net/11441/112529 | |
dc.description.abstract | We present a hybrid model combining cellular automata (CA) and agent-based modeling
(ABM) to analyze the deployment of electric vehicle charging stations through microscopic traffic
simulations. This model is implemented in a simulation tool called SIMTRAVEL, which allows
combining electric vehicles (EVs) and internal combustion engine vehicles (ICEVs) that navigate in a
city composed of streets, avenues, intersections, roundabouts, and including charging stations (CSs).
Each EV is modeled as an agent that incorporates complex behaviors, such as decisions about the
route to destination or CS, when to drive to a CS, or which CS to choose. We studied three different
CS arrangements for a synthetic city: a single large central CS, four medium sized distributed CSs or
multiple small distributed CSs, with diverse amounts of traffic and proportions of EVs. The simulator
output is found to be robust and meaningful and allows one to extract a first useful conclusion: traffic
conditions that create bottlenecks around the CSs play a crucial role, leading to a deadlock in the city
when the traffic density is above a certain critical level. Our results show that the best disposition
is a distributed network, but it is fundamental to introduce smart routing measures to balance the
distribution of EVs among CSs. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2017-89842P | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación PID2019-110455GB-I00 | es |
dc.format | application/pdf | es |
dc.format.extent | 14 | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Sustainability, 13 (10) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Electric vehicles | es |
dc.subject | Charging station | es |
dc.subject | Traffic modeling and simulation | es |
dc.subject | Cellular automata | es |
dc.subject | Agent-based modeling | es |
dc.title | A Cellular Automata Agent-Based Hybrid Simulation Tool to Analyze the Deployment of Electric Vehicle Charging Stations | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Física de la Materia Condensada | es |
dc.relation.projectID | TIN2017-89842P | es |
dc.relation.projectID | PID2019-110455GB-I00 | es |
dc.relation.publisherversion | https://www.mdpi.com/2071-1050/13/10/5421 | es |
dc.identifier.doi | 10.3390/su13105421 | es |
dc.journaltitle | Sustainability | es |
dc.publication.volumen | 13 | es |
dc.publication.issue | 10 | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |