Duarte, Joao M.; Assuncao, Kenny; Villas, Leandro A.; Braun, Torsten (27 September 2023). Assessing the Potential of Electric Mobility in Reducing Vehicular Greenhouse Gas Emissions. International Conference on Distributed Computing in Sensor Systems, pp. 585-592. IEEE Xplore: IEEE 10.1109/DCOSS-IoT58021.2023.00095
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In the context of climate change and Intelligent Transportation Systems, this work is part of an ongoing research focused on the potential of electric mobility in reducing pollutant emissions by moving vehicles. Targeting the Mindelo city in Cabo Verde, West Africa, we evaluate the impact of electric mobility in reducing greenhouse gas emissions, including CO, CO 2 , NOx, HC, and PMx. With this aim, and relying on data provided by local transport authorities, we consider the total number of active vehicles, as well as their categories and manufacturing year, and develop twenty-four (24) hours SUMO traffic scenarios for the Mindelo city. Using these SUMO traffic scenarios we then perform simulations by gradually replacing the standard gas-powered vehicles by electric vehicles. As expected, the results show a significant decrease in greenhouse gas emissions while the number of electric vehicles increases, demonstrating the positive impact of electric mobility in the climate change phenomenon. On the other hand, the results also show that CO2 is the greenhouse gas with the highest emission levels in vehicular environments.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS) 08 Faculty of Science > Institute of Computer Science (INF) |
UniBE Contributor: |
Braun, Torsten |
Subjects: |
000 Computer science, knowledge & systems 500 Science > 510 Mathematics 500 Science |
ISSN: |
2325-2944 |
ISBN: |
979-8-3503-4649-7 |
Publisher: |
IEEE |
Funders: |
Organisations 10 not found.; Organisations 10 not found. |
Language: |
English |
Submitter: |
Dimitrios Xenakis |
Date Deposited: |
22 Dec 2023 19:49 |
Last Modified: |
14 Jan 2024 02:43 |
Publisher DOI: |
10.1109/DCOSS-IoT58021.2023.00095 |
Uncontrolled Keywords: |
Climate change; Vehicles; Intelligent Transportation Systems; Emissions; Greenhouse Gases |
BORIS DOI: |
10.48350/190707 |
URI: |
https://boris.unibe.ch/id/eprint/190707 |
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