AGORA - Unlocking data-driven business potentials for cross-sectorial industries
AGORA is the B2B data platform broker of Atos to connect Data Providers and Data Consumers, facilitating the access, acquisition and trade-off of Connected Vehicle and Smart Home data under the standardized data model (CIDM).
Cross-CPP - A single point of access to multiple data streams
Key motivation of Cross-CPP project is to give cross-sectorial industries access to the great spectrum of sensor data coming from products from various industrial sectors (vehicles, smart home devices, etc.).
Analytics optimisation toolbox (AOT)
The QROWD Analytics Optimisation Toolbox (AOT) comprises five tools aimed at improving the performance -efficiency and accuracy- of the analytics required to deliver the QROWD mobility services:
Modal split services
The QROWD Modal Split toolkit is a disruptive solution to generate dynamic Modal Split (MS) indicators.
Advanced road information services
Traffic and Travel Information services have had an explosive growth in recent years, but still considerable progress is to be made, building on top of the 500+ million GPS devices found in all sectors of the economy and society.
QROWD data integration and analytics platform
This crowdsourcing-enabled big data integration and analytics services platform allows the efficient management of the entire mobility/transport/logistics related data value chains: integration of existing (heterogeneous) data sources affecting mobility; Generation of new data; Curation and meani
QROWD Virtual City Explorer
One of the most innovative products that the QROWD project offers is that of the Virtual City Explorer (VCE). VCE is a crowdsourced solution for mobility infrastructure maps.
Emission Reduction System
More and more vehicles are connected to the Cloud.
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: