Electric Free Floating Car Sharing systems offer a convenient and environmentally-friendly way to move in cities. However, their design and deployment is not a trivial task. In this work, we focus on fleet charging management, aiming at maximizing the number of trips of users, while minimizing the cost of relocating cars for charging. In particular, we compare two different car charging infrastructures: a centralised charging hub in a highly dynamic zone of the city, and a distributed set of charging poles around the most-used zones, where users can eventually contribute to plug cars. For this scope, we build a data-driven mobility demand model and a simulator that we use to study the performance and costs of fleet charging management. As a case study, we first consider the city of Turin. Then, we extend the results to three other cities (Milan, New York City and Vancouver). Results show that, given enough charging capacity, a distributed infrastructure is superior in terms of both satisfied trips and charging relocation cost. Additionally, with the contribution of users, the relocation cost might decrease even further.
Impact of Charging Infrastructure and Policies on Electric Car Sharing Systems / Ciociola, Alessandro; Markudova, Dena; Vassio, Luca; Giordano, Danilo; Mellia, Marco; Meo, Michela. - ELETTRONICO. - (2020), pp. 1-6. (Intervento presentato al convegno 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) nel 20-23 Sept. 2020) [10.1109/ITSC45102.2020.9294282].
Impact of Charging Infrastructure and Policies on Electric Car Sharing Systems
Ciociola, Alessandro;Markudova, Dena;Vassio, Luca;Giordano, Danilo;Mellia, Marco;Meo, Michela
2020
Abstract
Electric Free Floating Car Sharing systems offer a convenient and environmentally-friendly way to move in cities. However, their design and deployment is not a trivial task. In this work, we focus on fleet charging management, aiming at maximizing the number of trips of users, while minimizing the cost of relocating cars for charging. In particular, we compare two different car charging infrastructures: a centralised charging hub in a highly dynamic zone of the city, and a distributed set of charging poles around the most-used zones, where users can eventually contribute to plug cars. For this scope, we build a data-driven mobility demand model and a simulator that we use to study the performance and costs of fleet charging management. As a case study, we first consider the city of Turin. Then, we extend the results to three other cities (Milan, New York City and Vancouver). Results show that, given enough charging capacity, a distributed infrastructure is superior in terms of both satisfied trips and charging relocation cost. Additionally, with the contribution of users, the relocation cost might decrease even further.File | Dimensione | Formato | |
---|---|---|---|
Ciociola_Infrastructure.pdf
accesso aperto
Descrizione: Versione finale
Tipologia:
2. Post-print / Author's Accepted Manuscript
Licenza:
PUBBLICO - Tutti i diritti riservati
Dimensione
3.26 MB
Formato
Adobe PDF
|
3.26 MB | Adobe PDF | Visualizza/Apri |
infrastructure.pdf
non disponibili
Descrizione: Versione Pubblicata
Tipologia:
2a Post-print versione editoriale / Version of Record
Licenza:
Non Pubblico - Accesso privato/ristretto
Dimensione
369 kB
Formato
Adobe PDF
|
369 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2859167