Abstract
Future transportation and a system-wide adoption of electric mobility highly depend on the capacity and ubiquity of the charging infrastructure. To assure a level of electricity supply that is sufficient to meet the recharge demand, we need realistic demand estimates taking socio-economic conditions into account. To address this need, we developed an agent-based modelling framework that determines the spatiotemporal distribution of electric vehicle charging demand considering commuting behaviour and accompanying charging needs of individuals, and reports the results in a detailed as well as aggregated manner. The framework is implemented as open-source software that can be used to simulate various scenarios in a scalable manner starting from the city level up to the country level.
Original language | English |
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Title of host publication | 10th International Symposium on Transportation Data & Modelling (ISTDM2023) |
Subtitle of host publication | Booklet of Abstracts |
Editors | L. Duboz, B. Ciuffo |
Place of Publication | Luxembourg |
Publisher | Publications Office of the European Union |
Pages | 155-158 |
Number of pages | 4 |
ISBN (Electronic) | 978-92-68-07590-6 |
DOIs | |
Publication status | Published - 2023 |
Event | 10th International Symposium on Transportation Data & Modelling, ISTMD 2023 - Ispra, Varese, Italy Duration: 19 Jun 2023 → 22 Jun 2023 Conference number: 10 https://joint-research-centre.ec.europa.eu/events/istdm2023-2023-06-19_en |
Conference
Conference | 10th International Symposium on Transportation Data & Modelling, ISTMD 2023 |
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Abbreviated title | ISTMD |
Country/Territory | Italy |
City | Ispra, Varese |
Period | 19/06/23 → 22/06/23 |
Internet address |
Keywords
- Electric Vehicle
- charging infrastructure
- Agent-based modeling (ABM)
- socio-technical demand assessment
- Electrification
- Open-source
- Software
- Research software