Inferring Gas Consumption and Pollution Emission of Vehicles throughout a City. Shang, J., Zheng, Y., Tong, W., Chang, E., & Yu, Y. August, 2014. Paper abstract bibtex In this paper, we instantly infer the gas consumption and pollution emission of vehicles traveling on a city’s road network in current time slot, using GPS trajectories from a sample of vehicles (e.g., taxicabs). The knowledge cannot only be used to suggest cost-efficient driving routes but also identify the road segments where gas has been …
@article{shang_inferring_2014,
title = {Inferring {Gas} {Consumption} and {Pollution} {Emission} of {Vehicles} throughout a {City}},
url = {https://www.microsoft.com/en-us/research/publication/inferring-gas-consumption-and-pollution-emission-of-vehicles-throughout-a-city/},
abstract = {In this paper, we instantly infer the gas consumption and pollution emission of vehicles traveling on a city’s road network in current time slot, using GPS trajectories from a sample of vehicles (e.g., taxicabs). The knowledge cannot only be used to suggest cost-efficient driving routes but also identify the road segments where gas has been …},
language = {en-US},
urldate = {2019-04-10},
author = {Shang, Jingbo and Zheng, Yu and Tong, Wenzhu and Chang, Eric and Yu, Yong},
month = aug,
year = {2014},
}
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