BigClouT: Difference between revisions

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* 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 dataHow 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
|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.
|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:
|requirements=BigClouT project is bringing together resources and knowledge necessary from prestigious European and Japanese institutions and will follow 5 main steps:

Revision as of 21:00, March 12, 2022


BigClouT
GCTC logo 344x80.png
BIGCLOUT.jpg
Global City Teams Challenge Action Cluster
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:

  1. Use case definition, co-creation workshops with stakeholders
  2. Development and integration of the BigClouT platform and applications
  3. Field testing and performance evaluation in 4 pilot cities Europe / Japan
  4. Opening BigClouT platform to third parties such as application developers, services providers, integrators, etc.
  5. Exploitation plans and business models validation

Performance Targets

Key Performance Indicators (KPIs) Measurement Methods
  • 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%
  • 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
  • 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
  • Citizens satisfaction surveys included in the applications

Standards, Replicability, Scalability, and Sustainability

  • BigClouT will leverage the results of the EU-Japan ClouT project (http://clout-project.eu) 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:
  1. Use case scenarios definition completed on November 2016# First technical integration completed on April 2017
  2. First demonstration started on June 2017
  • Phase II Deployment June 2018:
  1. Evaluation of first integration results July 2017
  2. Selection of deployment use cases on September 2017
  3. Engagement of city stakeholders for trials on December 2017
  4. 2nd iteration of integration finalized on March 2018
  5. Deployments and trial execution started on April 2018
  6. First evaluation of results on June 2018