Research project

TRAFAIR - Understanding Traffic Flows to Improve Air q (DBA.AD001.421)

Thematic area

Biology, agriculture and food sciences

Project area

Intensificazione sostenibile delle produzioni agroalimentari e forestali (DBA.AD001)

Structure responsible for the research project

Institute of BioEconomy (IBE)

Project manager

ALESSANDRO ZALDEI
Phone number: 0553033711
Email: alessandro.zaldei@cnr.it

Abstract

Abstract
Key words
Action's overall objective 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 the following cities: Zaragoza, Florence, Modena, Livorno, Santiago de Compostela, and Pisa. Related datasets (including metadata) will be published on the following local portals, which are harvested by the European Data Portal through the respective national portals: the Emilia Romagna open data portal for the data of the city of Modena (http://dati.emilia-romagna.it/), the Tuscany Open Data portal for Florence, Pisa and Livorno (http://dati.toscana.it/), and the Aragon Open Data Portal for Zaragoza (https://opendata.aragon.es/), .
In the event that publication on these portals is not feasible, for reasons beyond the beneficiaries' control, the Action will at least ensure that datasets will be permanently made publicly available as open data also after the duration of the Action.

Goals

Specifically, the Action will:
- 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.

Start date of activity

31/07/2019

Keywords

AIR QUALITY, SENSORS, URBAN ENVIRONMENT

Last update: 20/04/2024