ClouT ended June 2016, follow the project continuation BigClouT at http://bigclout.eu

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All ClouT 4 pilots cities: ClouT Collaboration and Competition Dashboard   arrow

The purpose of this field trial is to show a kind of friendly “competition” among the four pilot cities involved the project: Fujisawa, Genova, Mitaka and Santander, thus comparing similar data gathered from all these cities.

In order to generate useful and understandable information for citizens, this raw data will be translated into different indexes related with environment, transport or quality of life, which will be included in a dashboard website shown in both public displays and context-aware signage systems in the cities, as well as through a mobile application.

Intercontinental_FT_Dasboard_4_Cities

Fig. 1. Intercontinental Field Trial Collaboration & Competition dashboard

Fig. 1 shows a screenshot of the aforementioned dashboard, where it is observed the comparison among the four cities. In this case the “Living index” and the “Today’s likes” are compared for each of the 4 cities. The “Living index” is calculated as a function of temperature and humidity value, whilst “Today’s likes/smileys” represents the number of likes gathered from the mobile app together with the participation rate in the smiley coupon app. Additionally to these indexes, others have been defined such as “Washing index” or “Environmental index” and, are being shown in the dashboard in a continuous loop.

As it can be observed in Fig. 2, apart from the competition dashboard, a specific dashboard for each city (Genova city in Fig. 2) has been developed showing the different evaluation indexes associated to each of the 4 cities.

Finally, in order to have the possibility of accessing to the aforementioned information (city indexes), a mobile application has been also designed, including an additional button that if pushed will increase today’s like index (shown in the Fig. 1 intercontinental competition dashboard).

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Fig. 2. Genova city dashboard

How it works?

The operation of this field trial implies to gather information from different cities, through the use of the ClouT platform (shown in next sections). In this sense, data sources feeding the platform range from legacy and IoT devices, sensorized and virtual nodes to even, public data provided by Municipalities through open data portals. This information is accordingly processed generating the corresponding indexes previously mentioned (function of the raw data retrieved from the different information sources).

What’s new?

This intercontinental field trial gathers information from the different applications developed in the two first years of the project represented in the different indexes previously mentioned.

Finally, the dashboard itself represents an evolution of the Fujisawa Surfboard field trial, thus showing not only information related with one city but aggregated one from the four cities.

Example

A citizen is going for a walk by the city centre in Fujisawa city, when suddenly it starts raining and he decides to enter into a public building, where a display showing Fujisawa dashboard is installed. Within the display, he can observe all the indexes in the city observing that the traffic index is quite high as there is an event in the city and the main entrances are collapsed. In that moment, screen content changes and starts displaying the competition dashboard among Fujisawa and the other cities, thus observing that Environmental index is better in Mitaka (low pollution degree due to less traffic intensity), the Washing index is higher in Genova (good weather for doing laundry) and the Shared economic index is better in Santander (lots of people using public bikes due to the nice temperature in the city).

Integration with ClouT platform

Fig. 3 shows the main functionalities of the three layers of ClouT general architecture that intervene in the operation of Intercontinental field trial.

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Fig. 3. Integration of intercontinental FT within ClouT platform

As depicted from Fig. 3, data from the different information sources in the four pilot cities are extracted by the corresponding southbound adaptation bridges, in charge of handling heterogeneous communication interfaces for getting these data. Once data are gathered from the bottom layer, northbound bridges will put them in the corresponding intermediate modules in charge of storing historical data, processing them in order to generate aforementioned specific indexes and also controlling and maintaining device context information (resource description, operation status and others). Finally, the generated indexes will be shown through the dashboards in public screens, mobile devices and context-aware signage systems.

Expected impact:  

Keep citizens informed about interesting city related information, by using specific indexes that translate retrieved raw data (from different city data sources) into understandable and useful information (specific formula for each city).

Additionally, citizens are provided with a comparison of their city with other three ones, thus raising citizens’ awareness and friendship regarding different or similar citizens’ behaviours in other cities, other continents.

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