BigClouT: Difference between revisions
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{{ActionCluster | {{ActionCluster | ||
|image=BIGCLOUT.jpg | |||
| | |team=CEA (France), Engineering SpA (Italy), Institute of Communication and Computer Systems (Greece), Lancaster Univ. (UK), Absiskey (France), NTT East Corporation, NTT R&D, Keio University, National Institute of Informatics (NII), University of Tsukuba, YRP-IOT | ||
| team | |leader=Levent Gürgen | ||
|imagecaption=BigClouT | |||
| leader | |municipalities=Grenoble France, Fujisawa Japan, Bristol UK, Tsukuba Japan | ||
|status=Launched | |||
|website=https://bigclout.eu/ | |||
| imagecaption | |description=BigClouT project aims at giving an analytic capability to cities exploiting available big data from sources such as IoT devices, open data, social networks, mobile applications, etc. and use them to improve the daily life of cities, their citizens and visitors. The target applications are: | ||
| municipalities | |||
| status | |||
| website | |||
| description | |||
BigClouT project aims at giving an analytic capability to cities exploiting available big data from sources such as IoT devices, open data, social networks, mobile applications, etc. and use them to improve the daily life of cities, their citizens and visitors. The target applications are: | |||
* Measuring the economic impact of large events organized in the city to the local economy, providing customized recommendations to the visitors (shopping, restaurants, sightseeing, etc.) | * Measuring the economic impact of large events organized in the city to the local economy, providing customized recommendations to the visitors (shopping, restaurants, sightseeing, etc.) | ||
* Improving the mobility of the citizens and visitors during important events such as big congresses, festivals, Olympic Games, etc. | * Improving the mobility of the citizens and visitors during important events such as big congresses, festivals, Olympic Games, etc. | ||
* Deployments and replications in 4 pilot cities in Europe and in Japan | * Deployments and replications in 4 pilot cities in Europe and in Japan | ||
|challenges=*How to collect and redistribute the heterogeneous big city data | |||
| challenges | *How to process big data in city scale, and to ensure to take efficient decisions with desirable effects | ||
How to collect and redistribute the heterogeneous big city data | *How to guarantee the privacy of the citizens and visitors | ||
How to process big data in city scale, and to ensure to take efficient decisions with desirable effects | |solutions=The project will build a big data platform that will gather various data from the city (IoT data, mobile applications, social networks, etc.) and analyse it for prediction and decision making for better managing the city resources. The solutions will include the handling of personal data collection of international visitors according data regulation in and in Japan. | ||
How to guarantee the privacy of the citizens and visitors | |requirements=BigClouT project is bringing together resources and knowledge necessary from prestigious European and Japanese institutions and will follow 5 main steps: | ||
| solutions | |||
The project will build a big data platform that will gather various data from the city (IoT data, mobile applications, social networks, etc.) and analyse it for prediction and decision making for better managing the city resources. The solutions will include the handling of personal data collection of international visitors according data regulation in and in Japan. | |||
| requirements | |||
BigClouT project is bringing together resources and knowledge necessary from prestigious European and Japanese institutions and will follow 5 main steps: | |||
# Use case definition, co-creation workshops with stakeholders | # Use case definition, co-creation workshops with stakeholders | ||
# Development and integration of the BigClouT platform and applications | # Development and integration of the BigClouT platform and applications | ||
| Line 35: | Line 21: | ||
# Opening BigClouT platform to third parties such as application developers, services providers, integrators, etc. | # Opening BigClouT platform to third parties such as application developers, services providers, integrators, etc. | ||
# Exploitation plans and business models validation | # Exploitation plans and business models validation | ||
|kpi=* Increase in percentage of visitors (business and leisure) using public (potentially on-demand) transportation systems: min 30% | |||
| kpi | |||
* Increase in percentage of visitors (business and leisure) using public (potentially on-demand) transportation systems: min 30% | |||
* Percentage of return to the local economy from initial investment from the Cities in hosting international events and festivals: min. 30% | * Percentage of return to the local economy from initial investment from the Cities in hosting international events and festivals: min. 30% | ||
* Number of Data sources integrated into the BigClouT platform (including IoT devices, legacy devices, “sensorized” web data, citizens providing data via social applications, etc.): min. 100 000 | * Number of Data sources integrated into the BigClouT platform (including IoT devices, legacy devices, “sensorized” web data, citizens providing data via social applications, etc.): min. 100 000 | ||
|measurement=* Using various techniques (GPS, NFC, Bluetooth, etc.) to monitor visitors and their activities (in an anonymous manner) | |||
| measurement | |||
* Using various techniques (GPS, NFC, Bluetooth, etc.) to monitor visitors and their activities (in an anonymous manner) | |||
* Using calculators such as defined for French event industry performances in terms of socio-economic and environmental impact | * Using calculators such as defined for French event industry performances in terms of socio-economic and environmental impact | ||
* Citizens satisfaction surveys included in the applications | * Citizens satisfaction surveys included in the applications | ||
|standards=* BigClouT will leverage the results of the [http://clout-project.eu EU-Japan ClouT project] which has developed an interoperable smart city platform providing support for various IoT and Cloud standards (Zigbee, LORA, CDMI, MQTT, XMPP, etc.) BigClouT results will still continue to be promoted in OSGi alliance (IoT group) and AIOTI alliance in Europe (Alliance for the Internet of Things Innovation). | |||
| standards | |||
* BigClouT will leverage the results of the | |||
* During the project the field trials will be replicated in different cities from Europe and Japan facing common needs and by using the same BigClouT platform. Scalability is already demonstrated within the ClouT platform leveraging Cloud computing advantages. | * During the project the field trials will be replicated in different cities from Europe and Japan facing common needs and by using the same BigClouT platform. Scalability is already demonstrated within the ClouT platform leveraging Cloud computing advantages. | ||
|cybersecurity=TBD | |||
| cybersecurity | |impacts=* Optimizing the investment of cities in hosting big international congresses (> 5000 participants) or sport events (Tokyo Paralympics 2020) while boosting the local economic sectors: transport, shops, hotels, restaurants, etc. | ||
| impacts | |||
* Optimizing the investment of cities in hosting big international congresses (> 5000 participants) or sport events (Tokyo Paralympics 2020) while boosting the local economic sectors: transport, shops, hotels, restaurants, etc. | |||
* Replicability of field trials deployed in pilot Cities in Europe to Japan and vice-versa | * Replicability of field trials deployed in pilot Cities in Europe to Japan and vice-versa | ||
* BigClouT platform and tools will be provided towards a community of developers (e.g., SMEs/starupts) both in Europe and in Japan. | * BigClouT platform and tools will be provided towards a community of developers (e.g., SMEs/starupts) both in Europe and in Japan. | ||
|demonstration=* Phase I Pilot/Demonstration June 2017: | |||
| demonstration | # Use case scenarios definition completed on November 2016# First technical integration completed on April 2017 | ||
* Phase I Pilot/Demonstration June 2017: | |||
# Use case scenarios definition completed on November 2016 | |||
# First technical integration completed on April 2017 | |||
# First demonstration started on June 2017 | # First demonstration started on June 2017 | ||
* Phase II Deployment June 2018: | * Phase II Deployment June 2018: | ||
# Evaluation of first integration results July 2017 | # Evaluation of first integration results July 2017 | ||
| Line 70: | Line 43: | ||
# Deployments and trial execution started on April 2018 | # Deployments and trial execution started on April 2018 | ||
# First evaluation of results on June 2018 | # First evaluation of results on June 2018 | ||
|chapter=Predictive Modeling | |||
| supercluster | |supercluster=Data | ||
| year | |year=2016, 2017, 2018 | ||
|title=BigClouT – Big data meets cloud of things for improving the quality of experience of citizens and visitors | |||
|email=levent.gurgen@cea.fr | |||
}} | }} | ||
Latest revision as of 21:23, January 24, 2023
| BigClouT | |
|---|---|
| |
 BigClouT | |
| Team Organizations | CEA (France) Engineering SpA (Italy) Institute of Communication and Computer Systems (Greece) Lancaster Univ. (UK) Absiskey (France) NTT East Corporation NTT R&D Keio University National Institute of Informatics (NII) University of Tsukuba YRP-IOT |
| Team Leaders | Levent Gürgen |
| Participating Municipalities | Grenoble France Fujisawa Japan Bristol UK Tsukuba Japan |
| Status | Launched |
| Document | None |
Description
BigClouT project aims at giving an analytic capability to cities exploiting available big data from sources such as IoT devices, open data, social networks, mobile applications, etc. and use them to improve the daily life of cities, their citizens and visitors. The target applications are:
- Measuring the economic impact of large events organized in the city to the local economy, providing customized recommendations to the visitors (shopping, restaurants, sightseeing, etc.)
- Improving the mobility of the citizens and visitors during important events such as big congresses, festivals, Olympic Games, etc.
- Deployments and replications in 4 pilot cities in Europe and in Japan
Challenges
- How to collect and redistribute the heterogeneous big city data
- How to process big data in city scale, and to ensure to take efficient decisions with desirable effects
- How to guarantee the privacy of the citizens and visitors
Solutions
The project will build a big data platform that will gather various data from the city (IoT data, mobile applications, social networks, etc.) and analyse it for prediction and decision making for better managing the city resources. The solutions will include the handling of personal data collection of international visitors according data regulation in and in Japan.
Major Requirements
BigClouT project is bringing together resources and knowledge necessary from prestigious European and Japanese institutions and will follow 5 main steps:
- Use case definition, co-creation workshops with stakeholders
- Development and integration of the BigClouT platform and applications
- Field testing and performance evaluation in 4 pilot cities Europe / Japan
- Opening BigClouT platform to third parties such as application developers, services providers, integrators, etc.
- Exploitation plans and business models validation
Performance Targets
| Key Performance Indicators (KPIs) | Measurement Methods |
|---|---|
|
|
Standards, Replicability, Scalability, and Sustainability
- BigClouT will leverage the results of the EU-Japan ClouT project which has developed an interoperable smart city platform providing support for various IoT and Cloud standards (Zigbee, LORA, CDMI, MQTT, XMPP, etc.) BigClouT results will still continue to be promoted in OSGi alliance (IoT group) and AIOTI alliance in Europe (Alliance for the Internet of Things Innovation).
- During the project the field trials will be replicated in different cities from Europe and Japan facing common needs and by using the same BigClouT platform. Scalability is already demonstrated within the ClouT platform leveraging Cloud computing advantages.
Cybersecurity and Privacy
TBD
Impacts
- Optimizing the investment of cities in hosting big international congresses (> 5000 participants) or sport events (Tokyo Paralympics 2020) while boosting the local economic sectors: transport, shops, hotels, restaurants, etc.
- Replicability of field trials deployed in pilot Cities in Europe to Japan and vice-versa
- BigClouT platform and tools will be provided towards a community of developers (e.g., SMEs/starupts) both in Europe and in Japan.
Demonstration/Deployment
- Phase I Pilot/Demonstration June 2017:
- Use case scenarios definition completed on November 2016# First technical integration completed on April 2017
- First demonstration started on June 2017
- Phase II Deployment June 2018:
- Evaluation of first integration results July 2017
- Selection of deployment use cases on September 2017
- Engagement of city stakeholders for trials on December 2017
- 2nd iteration of integration finalized on March 2018
- Deployments and trial execution started on April 2018
- First evaluation of results on June 2018