Cornacchia G., Bohm M., Mauro G., Nanni M., Pedreschi D., Pappalardo L.
Traffic simulation Computer Science - Computers and Society Urban sustainability FOS: Computer and information sciences Navigation systems Routing Social AI Multiagent Systems (cs.MA) Vehicular traffic Computer Science - Multiagent Systems Human mobility Computers and Society (cs.CY)
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., CO2 emissions and 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.
Source: SIGSPATIAL '22 - 30th International Conference on Advances in Geographic Information Systems, Seattle, Washington, 1-4/11/2022
@inproceedings{oai:it.cnr:prodotti:477681, title = {How routing strategies impact urban emissions}, author = {Cornacchia G. and Bohm M. and Mauro G. and Nanni M. and Pedreschi D. and Pappalardo L.}, doi = {10.1145/3557915.3560977 and 10.48550/arxiv.2207.01456}, booktitle = {SIGSPATIAL '22 - 30th International Conference on Advances in Geographic Information Systems, Seattle, Washington, 1-4/11/2022}, year = {2022} }
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