Vehicle-based monitoring and AI unravel patterns of on-road carbon and pollutant emissions
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REFERENCES
[1] Böhm, M., Nanni, M., and Pappalardo, L. (2022). Gross polluters and vehicle emissions reduction. Nat. Sustain. 5: 699−707. DOI: 10.1038/s41893-022-00903-x. [2] Choma, E. F., Evans, J. S., Gómez-Ibáñez, J. A. et al. (2021). Health benefits of decreases in on-road transportation emissions in the United States from 2008 to 2017. Proc. Natl. Acad. Sci. USA 118: e2107402118. DOI: 10.1073/pnas.2107402118. [3] Axsen, J., Plötz, P., and Wolinetz, M. (2020). Crafting strong, integrated policy mixes for deep CO2 mitigation in road transport. Nat. Clim. Change 10: 809−818. DOI: 10.1038/s41558-020-0877-y. [4] Apte, J. S., Messier, K. P., Gani S. et al. (2017). High-resolution air pollution mapping with google street view cars: Exploiting big data. Environ. Sci. Technol. 51: 6999−7008. DOI: 10.1021/acs.est.7b00891. [5] Li, H., Liu K., Yang W., et al. (2023). Integration of multidisciplinary methods to better understand regional carbon emissions. Environ. Sci. Technol. Lett. 10: 395−397. DOI: 10.1021/acs.estlett.3c00252. -
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Zhang Y., Wang L., Sun T., et al., (2024). Vehicle-based monitoring and AI unravel patterns of on-road carbon and pollutant emissions. The Innovation Geoscience 2(3): 100085. https://doi.org/10.59717/j.xinn-geo.2024.100085
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Zhang Y., Wang L., Sun T., et al., (2024). Vehicle-based monitoring and AI unravel patterns of on-road carbon and pollutant emissions. The Innovation Geoscience 2(3): 100085. https://doi.org/10.59717/j.xinn-geo.2024.100085
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Figure 1.
Framework of vehicle-based cruising observations and AI pipelines to identify on-road carbon and pollutant patterns
