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.
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.
Urban traffic fluency model
A comprehensive city traffic model based on various diferent data sources. The model can be used e.g to present traffic situation of the street network on a map user interface or to generate traffic incident data to other applications.
DataBench Toolbox
The goal of the DataBench Toolbox is to provide a way of reusing existing big data benchmarking efforts under a common framework, providing therefore a way to select, download and homogenize technical and business indicators.
DatrisAI Community Mapping
Datris has been applying its AI technology to develop a Community Mapping Tool that can identify, validate and profile community based organisations, clubs, groups and charities.
SAP Data Hub
The all-in-one data orchestration solution discovers, refines, enriches, and governs any type, variety, and volume of data across your entire distributed data landscape.
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: