How can the built environment affect the impact of autonomous vehicles’ operational behaviour on air quality?
Abstract
Autonomous vehicles (AVs) are pointed out as the technology that will reshape the concept of mobility, with significant implications for the economy, the environment, and society. This fact will bring new challenge to cities urban planning. Research to anticipate the AVs impacts, maximizing their benefits and reduce trade-offs are currently crucial. This work investigates the potential challenges and benefits of gradually replace internal combustion engine human driven vehicles with different penetration rates of AVs - 10%, 30%, 50%, 70%, 90%, and 100% - in urban roads of different characteristics, either in terms of traffic singularities or volumes, and its related implications on air quality. For that purpose, two urban areas with distinct features, Porto and Aveiro, were selected as case studies, and a modelling setup composed of a traffic model, an emission model, and a local air quality model was applied. The results revealed that the AVs benefits are directly linked with the urban design and the road characteristics. In the Aveiro case study, the AVs promoted positive changes with average reductions in daily NOx emissions (compared with the baseline scenario, without AVs) ranging between -2.1% (for C10%) and -7.7% (for C100%). In line with the emissions impacts, positive effects were found on air quality, with average reductions of NO 2 concentrations up to -4% (for C100%). In Porto urban area, slight differences in NOx emissions were obtained (<2%), which implied no ch…
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Associated environmental benefits include improved air quality with an average reduction of nitrogen dioxide concentrations up to 4%.
“Associated environmental benefits include improved air quality with average reduction of nitrogen dioxide concentrations up to -4% [30,40,41].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [40]
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 [40]
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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., Fernandes, P., Lopes, D., Rebelo, M., Bandeira, J., Macedo, E., Rodrigues, M., Coelho, M. C., Borrego, C., & Miranda, A. I.
- Affiliations
- Centro de Estudos do Ambiente e do Mar (PT)
- Centro de Tecnologia Mecânica e Automação (PT)
- Corresponding author
- Rafael, Sandra
- ORCID
- Venue
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Published
- 2022-08
- Volume
- 315
- Pages
- 115154
- ISSN
- 0301-4797 (ISSN-L)
- OpenAlex
- W4225150384
- Cited by
- 13
- References
- 0
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 5 · 2023: 3 · 2022: 1
- FWCI
- 0.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Environmental Management (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Fundação para a Ciência e a Tecnologia
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Vehicle emissions and performance
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Keywords
- autonomous vehicles, air quality, NOx emissions, AV penetration rate, urban street design, traffic signal coordination, traffic modeling, emission modeling, urban planning, Porto, Aveiro
- MeSH terms
- Built Environment, Autonomous Vehicles, Air Pollutants, Air Pollution, Vehicle Emissions, Environmental Monitoring, Humans
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