How Routing Strategies Impact Urban Emissions
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2022
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| _version_ | 1866914646348267520 |
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| author | Cornacchia, Giuliano Böhm, Matteo Mauro, Giovanni Nanni, Mirco Pedreschi, Dino Pappalardo, Luca |
| author_facet | Cornacchia, Giuliano Böhm, Matteo Mauro, Giovanni Nanni, Mirco Pedreschi, Dino Pappalardo, Luca |
| contents | Navigation apps use routing algorithms to suggest the best path to reach a user's desired destination. Although undoubtedly useful, navigation apps' impact on the urban environment (e.g., carbon dioxide emissions and population exposure to pollution) is still largely unclear. In this work, we design a simulation framework to assess the impact of routing algorithms on carbon dioxide emissions within an urban environment. Using APIs from TomTom and OpenStreetMap, we find that settings in which either all vehicles or none of them follow a navigation app's suggestion lead to the worst impact in terms of CO2 emissions. In contrast, when just a portion (around half) of vehicles follow these suggestions, and some degree of randomness is added to the remaining vehicles' paths, we observe a reduction in the overall CO2 emissions over the road network. Our work is a first step towards designing next-generation routing principles that may increase urban well-being while satisfying individual needs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2207_01456 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | How Routing Strategies Impact Urban Emissions Cornacchia, Giuliano Böhm, Matteo Mauro, Giovanni Nanni, Mirco Pedreschi, Dino Pappalardo, Luca Computers and Society Multiagent Systems Navigation apps use routing algorithms to suggest the best path to reach a user's desired destination. Although undoubtedly useful, navigation apps' impact on the urban environment (e.g., carbon dioxide emissions and population exposure to pollution) is still largely unclear. In this work, we design a simulation framework to assess the impact of routing algorithms on carbon dioxide emissions within an urban environment. Using APIs from TomTom and OpenStreetMap, we find that settings in which either all vehicles or none of them follow a navigation app's suggestion lead to the worst impact in terms of CO2 emissions. In contrast, when just a portion (around half) of vehicles follow these suggestions, and some degree of randomness is added to the remaining vehicles' paths, we observe a reduction in the overall CO2 emissions over the road network. Our work is a first step towards designing next-generation routing principles that may increase urban well-being while satisfying individual needs. |
| title | How Routing Strategies Impact Urban Emissions |
| topic | Computers and Society Multiagent Systems |
| url | https://arxiv.org/abs/2207.01456 |