Sharing traffic informations from Smart City transports (i.e. bike-sharing, car-sharing) with traffic informations from railway stations is important in order to improve the end-user services and to optimise the energy consumption. These aspects result in a lower environmental impact. We discuss Stochastic Model- Based Analysis for studying reliability and energy consumption in the context of Smart Stations. Optimising the energy consumption of a rail road switch heating system is the proposed case study.
Supporting the design of intelligent railway stations
Basile D;Di Giandomenico F;Gnesi S
2015
Abstract
Sharing traffic informations from Smart City transports (i.e. bike-sharing, car-sharing) with traffic informations from railway stations is important in order to improve the end-user services and to optimise the energy consumption. These aspects result in a lower environmental impact. We discuss Stochastic Model- Based Analysis for studying reliability and energy consumption in the context of Smart Stations. Optimising the energy consumption of a rail road switch heating system is the proposed case study.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
prod_362799-doc_119516.pdf
solo utenti autorizzati
Descrizione: Supporting the design of intelligent railway stations
Tipologia:
Versione Editoriale (PDF)
Dimensione
46.83 kB
Formato
Adobe PDF
|
46.83 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
|
prod_362799-doc_119517.pdf
accesso aperto
Descrizione: Supporting the design of intelligent railway stations_1
Tipologia:
Versione Editoriale (PDF)
Dimensione
1.32 MB
Formato
Adobe PDF
|
1.32 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
