Artículo
A Cellular Automata Agent-Based Hybrid Simulation Tool to Analyze the Deployment of Electric Vehicle Charging Stations
Autor/es | García-Suárez, Amaro
Guisado Lizar, José Luis Díaz del Río, Fernando Jiménez-Morales, Francisco de Paula |
Departamento | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores Universidad de Sevilla. Departamento de Física de la Materia Condensada |
Fecha de publicación | 2021 |
Fecha de depósito | 2021-06-21 |
Publicado en |
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Resumen | 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 ... 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. |
Agencias financiadoras | Ministerio de Ciencia e Innovación (MICIN). España |
Identificador del proyecto | TIN2017-89842P
PID2019-110455GB-I00 |
Cita | 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) |
Ficheros | Tamaño | Formato | Ver | Descripción |
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sustainability-13-05421.pdf | 2.207Mb | [PDF] | Ver/ | |