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TRAFAIR Project


TRAFAIR

Understanding traffic flows to improve air quality

(http://trafair.eu/)


 

The TRAFAIR project main aim is to develop a service that combines data on air quality, weather conditions, and traffic flows in order to allow citizens and municipalities to estimate the level of pollution resulting from varying traffic flow conditions.
The service will be deployed in 6 european cities: Zaragoza, Florence, Modena, Livorno, Santiago de Compostela, and Pisa.
Specifically, TRAFAIRwill:
- Define a standard set of metadata representing urban air quality maps
- Provide citizens and public administrations with a real-time map of the estimated levels of pollution in the urban areas based on data from air quality sensors, and measurements of standard air quality stations
- Develop a service to predict urban air quality based on the data collected, weather forecasts and traffic flows. This service will make use of High-Performance Computing (HPC) technologies to estimate the diffusion of pollutants in the urban areas. As the related model (i.e. the air pollution dispersion model) applies to hypothetical traffic flow scenarios as well, it will also be used to simulate new hypothesis of circulation, such as changes in the urban fleet of vehicles, increase of low emission vehicles, and to study the generated impacts on air quality
- Publish open datasets describing the urban air quality maps and the prediction maps of the 6 cities in which the service will run for the duration of the Action.

Partners of the project are:

  • Università degli Studi di Modena e Reggio Emilia (UNIMORE) – Italy
  • Università degli Studi di Firenze (UNIFI-DISIT) – Italy
  • Universidade de Santiago de Compostela (USC) – Spain
  • City of Modena (CMO) – Italy
  • Tuscany Region (TR) – Italy
  • City of Santiago de Compostela (CSC) – Spain
  • Fundación Centro Tecnológico de Supercomputación de Galicia (CESGA) – SPAIN
  • Universidad de Zaragoza (UNIZAR) – SPAIN
  • Lepida SpA – Italy


AGREEMENT No INEA/CEF/ICT/A2017/1566782
 

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