EMERALDS delivers a privacy-first Mobility Analytics as a Service platform that empowers public authorities and citizens to make faster, smarter mobility decisions — saving time, cutting costs and reducing environmental impact.
Discover the outputs
Discover the results of the Emeralds project
In a rapidly urbanised and connected world, data is driving decision-making in cities across Europe. A plethora of sensors and computing devices covering the edge/fog/cloud compute continuum are deployed, connected, and monitored. New mobility services are reshaping the urban mobility landscape leading to a radical expansion of data.
By leveraging on the accumulated data created within the duty cycle of these services over the next three years, the EMERALDS project will design, develop and create an urban data-oriented Mobility Analytics as a Service (MAaaS) toolset to exploit the untapped potential of extreme urban mobility data and as a result, improve urban mobility decision making.
The toolset will demonstrate advanced capabilities in data mining of large amounts and varieties of urban mobility data whilst considering privacy aspects. As opposed to off-the-shelf solutions, EMERALDS will actually create tailor-made data acquaintance services which goes beyond the simple collection of extreme mobility data and is able to distribute computational workload of the clean-process-analyse pipeline to many nodes of different types, including the data collection layer per se (i.e., at the edge).
As a result, higher-quality data can be transmitted to the subsequent computing levels leading to the design of far more advanced data analytics tools and services.
The EMERALDS consortium brings together experts in IT, Urban Data Science, Data Engineering, Urban Mobility, stakeholders from public authorities, and SMEs activated in Mobility Planning and Operations. 20 Organisations from 10 European countries will work towards a data-driven future in which entities and individuals can unlock the full value of their data and the European Mobility Data Space aspiration.
