
OSLO Passenger Transport Hubs
Boost modal shift by improving the passenger experience

The importance of predictive models for air quality and bike availability
Welcome to this blog post. Today, we will delve into the importance of predictive models for air quality and bike availability.

GreenMov's Noise Pollution Services: Paving the Way for a Better Urban Environment
Around 1.1 billion people worldwide are at risk of hearing loss due to exposure to high levels of noise!

Closing Event of CEF Projects at FIWARE GLOBAL SUMMIT in Vienna!
Vienna, Austria
Three among the most relevant project fInanced by Connecting Europe Facility GreenMov,

Improving Bike-Sharing: Forecasting Bike Availability with Data Science
Bicycle-sharing is a convenient and environmentally-friendly mode of transportation, but users face one common challenge: the availability of bicycles at their desired station.

Alignment of Smart Data Models with OSLO
Data sources can be integrated with low effort when they are aligned using the same data models.

Green Services and Sustainable Mobility to Improve Citizens Urban Health: a shared policy between Murcia and Molina de Segura
One of the key aspects in current digital transformation, and into the challenges for the next years, is particulate matter monitoring (PM) as one of the main pollutants related

GreenMov Services
GreenMov is developing a set of single services which can be used in any city to measure, monitor and forecast certain values for the cities’ managers

GreenMov, a replicable solution to tackle traffic-related pollutions in Smart Cities as Nice
Every day, an average human processes 11,000 liters of air, whose quality is often unhealthy in urban areas

The tale of a data innovator at GreenMov project
That’s a fiction story based on actual experiences with the GreenMov project. Any resemblance with reality is a mere coincidence.

The relevance of data sharing in sustainable mobility
Mobility and pollution are topics at the core of present challenges for many cities around the world.