BigClouT project makes use of today’s three key technologic enablers, Internet of Things (IoT), cloud computing and big data, for the objective of increasing the efficiency in using urban infrastructure, economic and natural resources shared by the increasing population. BigClouT will offer an analytic mind to the city by creating distributed intelligence that can be implanted throughout the whole city network.
While occupying only 2% of the earth's surface, cities use 75% of the world resources. Those resources in civil infrastructure such as water, energy, public transportation, parking spaces, buildings, roads, bridges, etc., as well as natural resources and economic resources need to be shared by this increasing population. This has direct consequences for urban citizens and for the city itself. BigClouT provides necessary platforms and tools to help cities managing their resources in a more efficient manner; thus improving the quality of life and security of its citizens.
The BigClouT project targets in particular the following three technical challenges
- Interoperability: Many IoT technologies are emerging which promise to make the IoT ubiquitous in the smart city context. However, a “universal glue” to bind the “things” to each other, to applications and to the cloud is missing. BigClouT provides an integrated data collection and redistribution platform that can universally handle data from various city information sources.
- Self-awareness and dependability: It is expected to have several tens of billions of devices deployed in the coming decades. Naturally, the complexity of systems continues to grow and human administrators cannot handle this complexity with the traditional tools. BigClouT proposes mechanisms to make smart city platforms self-aware of their physical and virtual contexts and manage themselves with certain autonomy.
- Making value of big data: The intelligent use of data revolutionizes decision making in businesses, sciences and society in the future, by offering predictive and prescriptive analytics. BigClouT proposes storing and processing close to the edge level, thus creating real-time distributed intelligence, which also natively facilitates privacy protection and scalability, comparing to centralized cloud solutions.
The BigClouT project will validate its approach by having real-life deployments in 4 European and Japanese cities on board.
- Grenoble: By using BigClouT tools, monitoring the impact of big international events (scientific or business) to the local economy in order to optimize the investment of the Grenoble-Alpes Métropole for those events. Monitoring the industrial parks and propose services for the employees of the park to increase their quality of experience (e.g., transportation, information, recommendations of activities, personalized offers).
- Fujisawa: Along with the recent trends of increasing number of international tourists from foreign countries, towards the momentum events such as Tokyo Olympics Paralympics 2020, the Fujisawa city expects to get a good energetic influence for citizens and the city itself, concretely aiming at hospitality enhancement to the tourists and achieve synergy of the regional economy.
- Tsukuba: Environment and Congestion Prediction in particular for disaster prevention and for boosting local tourism economy. Providing personalized recommendations to foreign business and sightseeing tourists.
- Bristol: Improving citizens transport options to maintain safety, smooth traffic flow and an environmentally friendly urban environment. Optimizing energy usage of their citizens at home by providing personal recommendations.