After two years of intense work, the project has demonstrated smart-green urban mobility services in 3 pilots (Murcia - Molina de Segura, Nice and Flanders)
The European research project GreenMov (Green Mobility data models and services for smart ecosystems), coordinated by Atos and co-financed by the Connecting Europe Facility of the European Union (CEF) has ended, and the partners of its consortium are proud to announce that the results of the project are in line with expectations.
These are artificial intelligence forecasting services, where sensors provide data for air quality, noise and traffic forecasts with extremely accurate results for improving intermodal passenger transport (also called mixed-mode commuting) that involves using two or more modes of transportation in a journey. Mixed-mode commuting is often used to combine the strengths of various transportation options.
These proposed services can be transferred to any city interested in using them, allowing local authorities to make decisions based on the forecasts, so they can decide whether to reduce traffic, divert it, or take whatever action is necessary.
Some of the main results have been the following:
- A reference architecture for mobility scenarios.
- 8 extended Smart Data Models and 9 new Smart Data Models.
- Some OSLO vocabularies and app profiles contextualized for mobility.
- 8 mobility services for noise, air quality, bike availability and traffic calculation and forecasting.
- A new building block for solving federated queries across multiple Context Brokers
- Whitepaper with lessons learnt about the deployment of these models and services in the 3 pilots (Nice, Flanders and Murcia-Molina de Segura)