Many smart city solutions are providing access to city users at geolocalized services. These services can be related to static and/or real time data of the city including: information, point of interests, mobility and transport, energy, environment, health, tourism and culture, wine and food, etc. Km4City aggregated a large number of data and is providing services to final users via Smart City API and from these to mobile Apps. Km4City ontological model and data aggregation has been recently augmented with results of the Sii-Mobility project on mobility and transport. In Tuscany, Italy, more than 100,000 services are provided from Firenze, Pisa, Prato, Pistoia, Arezzo, Empoli cities. With a particular focus to the Metropolitan Area of Firenze, and data coming from the Tuscany Region, LAMMA, observatory Transportation and traffic manager MIIC, City of Florence for a total of more than 180 data sets.

From Data to Sensing Users by exploiting Km4City Services / Badii, Claudio; Bellini, Pierfrancesco; Cenni, Daniele; Nesi, Paolo; Paolucci, Michela. - ELETTRONICO. - (2016), pp. 1-2. (Intervento presentato al convegno 2nd Cini Annual Conference on ICT for Smart Cities & Communities (I-CITIES 2016) tenutosi a Benevento nel September 29-30, 2016).

From Data to Sensing Users by exploiting Km4City Services

claudio badii;pierfrancesco bellini;daniele cenni;paolo nesi
;
michela paolucci
2016

Abstract

Many smart city solutions are providing access to city users at geolocalized services. These services can be related to static and/or real time data of the city including: information, point of interests, mobility and transport, energy, environment, health, tourism and culture, wine and food, etc. Km4City aggregated a large number of data and is providing services to final users via Smart City API and from these to mobile Apps. Km4City ontological model and data aggregation has been recently augmented with results of the Sii-Mobility project on mobility and transport. In Tuscany, Italy, more than 100,000 services are provided from Firenze, Pisa, Prato, Pistoia, Arezzo, Empoli cities. With a particular focus to the Metropolitan Area of Firenze, and data coming from the Tuscany Region, LAMMA, observatory Transportation and traffic manager MIIC, City of Florence for a total of more than 180 data sets.
2016
Proceedings of the 2nd Cini Annual Conference on ICT for Smart Cities & Communities (I-CITIES 2016), Benevento, September 29-30, 2016
2nd Cini Annual Conference on ICT for Smart Cities & Communities (I-CITIES 2016)
Benevento
September 29-30, 2016
Badii, Claudio; Bellini, Pierfrancesco; Cenni, Daniele; Nesi, Paolo; Paolucci, Michela
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1103773
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