Potential of big data approach for remote sensing of vehicle exhaust emissions

Abstract At present, remote sensing (RS) is applied in detecting vehicle exhaust emissions, and usually the RS emission results in a definite vehicle specific power (VSP) range are used to evaluate vehicle emissions and identify high-emitting vehicles. When the VSP exceeds this range, the correspond...

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Autores principales:	Lijun Hao, Hang Yin, Junfang Wang, Xiaohu Wang, Yunshan Ge
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/cfa46162d3a4432f8ea35a0b84d91993
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spelling	oai:doaj.org-article:cfa46162d3a4432f8ea35a0b84d919932021-12-02T11:35:52ZPotential of big data approach for remote sensing of vehicle exhaust emissions10.1038/s41598-021-84890-72045-2322https://doaj.org/article/cfa46162d3a4432f8ea35a0b84d919932021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84890-7https://doaj.org/toc/2045-2322Abstract At present, remote sensing (RS) is applied in detecting vehicle exhaust emissions, and usually the RS emission results in a definite vehicle specific power (VSP) range are used to evaluate vehicle emissions and identify high-emitting vehicles. When the VSP exceeds this range, the corresponding vehicle emission RS data will not be used to assess vehicle emissions. This method is equivalent to setting only one VSP Bin qualified for vehicle emission evaluation, and generally only one threshold limit is given for each emission pollutant without considering the fluctuation characteristics of vehicle emissions with VSP. Therefore, it is easy to cause misjudgment in identifying high-emitting vehicles and is not conducive to scientific management of vehicle emissions. In addition, the vehicle emissions outside the selected VSP Bin are more serious and should be included in the scope of supervision. This research proposed the methods of vehicle classifications and VSP Binning in order to categorize the driving conditions of each kind of vehicles, and a big data approach was proposed to analyze the vehicle emission RS data in each VSP Bin for vehicle emission evaluation.Lijun HaoHang YinJunfang WangXiaohu WangYunshan GeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lijun Hao Hang Yin Junfang Wang Xiaohu Wang Yunshan Ge Potential of big data approach for remote sensing of vehicle exhaust emissions
description	Abstract At present, remote sensing (RS) is applied in detecting vehicle exhaust emissions, and usually the RS emission results in a definite vehicle specific power (VSP) range are used to evaluate vehicle emissions and identify high-emitting vehicles. When the VSP exceeds this range, the corresponding vehicle emission RS data will not be used to assess vehicle emissions. This method is equivalent to setting only one VSP Bin qualified for vehicle emission evaluation, and generally only one threshold limit is given for each emission pollutant without considering the fluctuation characteristics of vehicle emissions with VSP. Therefore, it is easy to cause misjudgment in identifying high-emitting vehicles and is not conducive to scientific management of vehicle emissions. In addition, the vehicle emissions outside the selected VSP Bin are more serious and should be included in the scope of supervision. This research proposed the methods of vehicle classifications and VSP Binning in order to categorize the driving conditions of each kind of vehicles, and a big data approach was proposed to analyze the vehicle emission RS data in each VSP Bin for vehicle emission evaluation.
format	article
author	Lijun Hao Hang Yin Junfang Wang Xiaohu Wang Yunshan Ge
author_facet	Lijun Hao Hang Yin Junfang Wang Xiaohu Wang Yunshan Ge
author_sort	Lijun Hao
title	Potential of big data approach for remote sensing of vehicle exhaust emissions
title_short	Potential of big data approach for remote sensing of vehicle exhaust emissions
title_full	Potential of big data approach for remote sensing of vehicle exhaust emissions
title_fullStr	Potential of big data approach for remote sensing of vehicle exhaust emissions
title_full_unstemmed	Potential of big data approach for remote sensing of vehicle exhaust emissions
title_sort	potential of big data approach for remote sensing of vehicle exhaust emissions
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/cfa46162d3a4432f8ea35a0b84d91993
work_keys_str_mv	AT lijunhao potentialofbigdataapproachforremotesensingofvehicleexhaustemissions AT hangyin potentialofbigdataapproachforremotesensingofvehicleexhaustemissions AT junfangwang potentialofbigdataapproachforremotesensingofvehicleexhaustemissions AT xiaohuwang potentialofbigdataapproachforremotesensingofvehicleexhaustemissions AT yunshange potentialofbigdataapproachforremotesensingofvehicleexhaustemissions
_version_	1718395847701430272

Potential of big data approach for remote sensing of vehicle exhaust emissions

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