Autonomous vehicles opportunities for cities air quality
Open accessAbstract
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 (CO 2 ) 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 CO 2 (+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.
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Studies find that the electric autonomous option results in significant reductions in NOx emissions compared with a baseline and an autonomous scenario with 30% AV market penetration.
“These studies find that the electric autonomous option results in significant reductions in NOx emissions by comparing three scenarios, including a baseline representing current traffic conditions, an autonomous scenario with a 30% AV market penetration, and an electric autonomous scenario with 30% batteryelectric AVs.”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [62]
In a medium-sized Portuguese urban region, numerical modelling indicates a small rise in emissions with 30% AV penetration, but a significant 30% reduction when the AVs are electric.
“Results indicate a small rise in emissions with 30% of AVs penetration (% of AVs in in the road network), but a significant 30% reduction when these AVs are electric; hence, this promotes a future of greener and healthier communities.”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [62]
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Wang, J., Zhang, L., Huang, Y., Zhao, J., & Bella, F. (2020) · Journal of Advanced Transportation · doi:10.1155/2020/8867757 · Cited by 261 · see citing works
A global horizon scan of the future impacts of robotics and autonomous systems on urban ecosystems
Goddard, M. A., Davies, Z. G., Guenat, S., Ferguson, M. J., Fisher, J. C., Akanni, A., Ahjokoski, T., Anderson, P. M. L., Angeoletto, F., Antoniou, C., et al. (2021) · Nature Ecology & Evolution · doi:10.1038/s41559-020-01358-z · Cited by 90 · see citing works
Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature
Makahleh, H. Y., Ferranti, E. J. S., & Dissanayake, D. (2024) · Future Transportation · doi:10.3390/futuretransp4020017 · Cited by 55 · see citing works
- Authors
- Rafael, S., Correia, L. P., Lopes, D., Bandeira, J., Coelho, M. C., Andrade, M., Borrego, C., & Miranda, A. I.
- Affiliations
- Centro de Estudos do Ambiente e do Mar (PT)
- University of Aveiro (PT)
- Corresponding author
- Rafael, Sandra
- ORCID
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 712
- Pages
- 136546
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W2999156928
- Cited by
- 77
- References
- 0
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 7 · 2023: 15 · 2022: 12 · 2021: 18 · 2020: 8
- FWCI
- 4.99
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- The Science of The Total Environment (publishedVersion)
- PubMed (publishedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, cc-by-nc-nd)
- Funders
- InFLOWence (POCI-01-0145-FEDER-029679)
- DICA-VE (POCI-01-0145-FEDER-029463)
- Driving2Driverless (POCI-01-0145-FEDER-031923)
- Portuguese Science and Technology Foundation
- FEDER (UID/AMB/50017–POCI-01-0145-FEDER-007638, UID-EMS-00481-2019-FCT, CENTRO-01-0145-FEDER-022083)
- FCT
- MEC
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Vehicle emissions and performance
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
- Keywords
- autonomous vehicles, urban air quality, NOx emissions, CO2 emissions, battery electric vehicles, road transport emissions, traffic modeling, computational fluid dynamics, urban air pollution
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