Skip to Main Content (Press Enter)

Logo UNIRC
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Attività
  • Competenze

UNI-FIND
Logo UNIRC

|

UNI-FIND

unirc.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Attività
  • Competenze
  1. Pubblicazioni

How to Conceive Future Mobility Services in Smart Cities According to the FIWARE frontierCities Experience

Articolo
Data di Pubblicazione:
2018
Citazione:
How to Conceive Future Mobility Services in Smart Cities According to the FIWARE frontierCities Experience / Carnevale, L., Celesti, A., DI PIETRO, M., Galletta, A.. - In: IEEE CLOUD COMPUTING. - ISSN 2325-6095. - 5:5(2018), pp. 25-36. [10.1109/MCC.2018.053711664]
Abstract:
The mobility of people is one of the main critical aspects related to daily life in a city, causing both traffic congestion and pollution. Smart-mobility services based on vehicular cloud computing and the Internet of Things (IoT) are emerging as new solutions that can address such issues. In this context, the FIWARE acceleration program, along with the frontierCities initiative, paved the way toward the development of new smart-mobility services. This article discusses different performance indicators that must be considered for the design and development of smart-mobility services adopting FIWARE technology. To this end, the authors consider the home-office mobility of University of Messina personnel as a case study. In particular, after a preliminary analysis of traveling habits, the authors gained insights on how FIWARE can lead to agile development of smart-mobility services that can minimize traffic congestion, fuel consumption, and CO2 emissions.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Cloud computing; Smart cities; Personnel; Computer architecture; Internet of Things; Transportation
Elenco autori:
Carnevale, L.; Celesti, A.; DI PIETRO, Maria; Galletta, A.
Link alla scheda completa:
https://iris.unirc.it/handle/20.500.12318/47106
Pubblicato in:
IEEE CLOUD COMPUTING
Journal
  • Dati Generali

Dati Generali

URL

https://ieeexplore.ieee.org/document/8497005
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.6.0.0