Individual Crash Prediction based on Mobility Traces
An analytical process is provided, which analyzes the recent GPS traces of a vehicle and assigns to it a probability of having a crash in the next mid-term future (typically, one month ahead). The process is based on the analysis of historical data of several vehicles in terms of mobility (
Extracting relevant locations from individual mobility
A tool for analyzing the GPS traces of a vehicle to identify the places where a user stops for significant durations, and to aggregate them into locations of interest for the user. Each location is enriched with statistical information about frequency of stops.
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.
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.
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).
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.
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.).
Ubiwhere Urban Platform
Ubiwhere Urban Platform focus on understanding how external factors (such as the weather, location of points of interest or the time of the year) affect the way people move, by analysing anonymised historical booking data (from public transportation and vehicle sharing systems) and cor
SLIPO
SLIPO is the first comprehensive cloud-based platform for the quality-assured and scalable integration of Big POI data assets. SLIPO reduces the effort, time, and complexity of POI data integration, providing POIs of increased size, coverage, richness and timeliness at a fraction of the cost.
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: