• Component / Service / App
  • Gregorio M. Toral

Optimisation of traffic flow in Berlin

Ciclogreen has developed an analytics and prediction tool that, given the historical data of the traffic flow at a given point in the city, will simulate behaviors that could generate congestion or flow of traffic, public transport, and pedestrians.

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  • Platform / Framework
  • DEEP-Hybrid-DataCloud

DEEPaaS - Deep Learning for everybody

The key concept proposed in the DEEP Hybrid DataCloud project is the need to support intensive computing techniques that require specialized HPC hardware, like GPUs or low-latency interconnects, to explore very large datasets.

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  • Platform / Framework
  • CLASS Consortium

CLASS -Edge an d Cloud Computation: A Highly distributed Software for Big Data Analytics

Current trends towards the use of big data technologies in the context of smart cities suggest the need for developing novel software development ecosystems upon which advanced mobility functionalities can be developed.

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  • Platform / Framework
  • ELASTIC consortium

ELASTIC: A Software Architecture for Extreme-ScaLe Big-Data AnalyticS in Fog CompuTIng ECosystems

Big data technologies are nowadays being integrated in systems that are required to process a vast amount of information from geographically distributed data sources.

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  • Component / Service / App
  • Indra Sistemas

Predictive High-Speed Network Maintenance

Predictive High-Speed Network Maintenance pilot strives to provide functionality that predicts the failure of mainline railway assets with sufficient foresight that preventative maintenance can be scheduled and performed.

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  • Platform / Framework
  • ATOS

QROWD Data Acquisition Framework

The QROWD Data Acquisition Framework (QROWD DAF) is an Apache NiFi-based platform for data acquisition for Smart Cities. It is integrated into a FIWARE-compliant environment, meaning that it complies with the main principle of FIWARE:

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