Smart City Control Rooms are mainly focused on Dashboards which are in turn created by using the so-called Dashboard Builders tools or generated custom. For a city the production of Dashboards is not something that is performed once forever, and it is a continuous working task for improving city monitoring, to follow extraordinary events and/or activities, to monitor critical conditions and cases. Thus, relevant complexities are due to the data aggregation architecture and to the identification of modalities to present data and their identification, prediction, etc., to arrive at producing high level representations that can be used by decision makers. In this paper, the architecture of a Dashboard Builder for creating Smart City Control Rooms is presented. As a validation and test, it has been adopted for generating the dashboards in Florence city and other cities in Tuscany area. The solution proposed has been developed in the context of REPLICATE H2020 European Commission Flagship project on Smart City and Communities.

Smart City Control Room Dashboards: Big Data Infrastructure, from data to decision support / Pierfrancesco Bellini, Daniele Cenni, Mino Marazzini, Nicola Mitolo, Paolo Nesi, Michela Paolucci. - In: JOURNAL OF VISUAL LANGUAGES AND COMPUTING. - ISSN 1045-926X. - ELETTRONICO. - (2018), pp. 40-48. [10.18293/VLSS2018-030]

Smart City Control Room Dashboards: Big Data Infrastructure, from data to decision support

Pierfrancesco Bellini;Daniele Cenni;Mino Marazzini;MITOLO, NICOLA;Paolo Nesi;Michela Paolucci
2018

Abstract

Smart City Control Rooms are mainly focused on Dashboards which are in turn created by using the so-called Dashboard Builders tools or generated custom. For a city the production of Dashboards is not something that is performed once forever, and it is a continuous working task for improving city monitoring, to follow extraordinary events and/or activities, to monitor critical conditions and cases. Thus, relevant complexities are due to the data aggregation architecture and to the identification of modalities to present data and their identification, prediction, etc., to arrive at producing high level representations that can be used by decision makers. In this paper, the architecture of a Dashboard Builder for creating Smart City Control Rooms is presented. As a validation and test, it has been adopted for generating the dashboards in Florence city and other cities in Tuscany area. The solution proposed has been developed in the context of REPLICATE H2020 European Commission Flagship project on Smart City and Communities.
2018
40
48
Pierfrancesco Bellini, Daniele Cenni, Mino Marazzini, Nicola Mitolo, Paolo Nesi, Michela Paolucci
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1135535
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