Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/29761
Title: Autonomous vehicles opportunities for cities air quality
Author: Rafael, Sandra
Correia, Luís P.
Lopes, Diogo
Bandeira, Jorge
Coelho, Margarida C.
Andrade, Mário
Borrego, Carlos
Miranda, Ana I.
Keywords: Autonomous vehicles
Air quality
Numerical modelling
Road transport emissions
Urban areas
Issue Date: 10-Apr-2020
Publisher: Elsevier
Abstract: The impacts of autonomous vehicles (AV) on safety, energy and atmospheric emissions have been recognised to be important issues, but an air quality impact assessment is missing. In this study, by using a numerical modelling approach, the impact of AV on the air quality of a medium-sized Portuguese urban area was evaluated. For that, the air pollutants nitrogen oxides (NOx) and carbon dioxide (CO2) were considered and three scenarios were developed: i) a baseline scenario; ii) an autonomous scenario, assuming an AV market penetration rate of 30%; and iii) an electric autonomous scenario, taking into account that those 30% of AV are pure battery electric cars. A modelling system composed by a road traffic model, a road transport emission model and a Computational Fluid Dynamics air quality model was used. The autonomous scenario promoted an increase of both NOx (+1.8%) and CO2 (+0.7%) emissions, while the electric autonomous scenario resulted in emission reductions of about 30% for both air pollutants. In terms of air quality, distinct patterns were found: i) the autonomous scenario promoted both increases and decreases of NOx concentrations; and ii) the electric autonomous scenario promoted a widespread reduction of NOx concentrations (with an average value of -4%). Overall the results showed that AV have the potential to improve urban air quality, but, further research is needed to enrich the findings of this work.
Peer review: yes
URI: http://hdl.handle.net/10773/29761
DOI: 10.1016/j.scitotenv.2020.136546
ISSN: 0048-9697
Appears in Collections:TEMA - Artigos
CESAM - Artigos
DAO - Artigos
DEM - Artigos

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