Research on Emission Level Assessment of Heavy-Duty Vehicle Fleets Based on Remote Monitoring

Heavy-duty fleet emissions present a critical environmental challenge in the transportation sector demanding immediate resolution. A scientific evaluation of heavy-duty fleet emission levels underpins the effective management and control of these emissions. Leveraging remote monitoring data, this study presents a methodology for evaluating heavy-duty fleet emission levels via a fleet star-rating mechanism that integrates the fleet’s average emission factor, high-risk emission factor, operational condition emission factor, and total emissions to deliver a overall assessment. These findings support governments and pertinent agencies in understanding the comprehensive emission profiles of their commercial fleets and offer robust, effective methodological guidance for regional ecological and environmental monitoring.

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Publication Details

Journal
E3S Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/e3sconf/202563901015
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Emission Level Assessment of Heavy-Duty Vehicle Fleets Based on Remote Monitoring

Xiaopan An, Biwu Ma, Kunqi Ma, Hang Xu et al.
E3S Web of Conferences
Vehicle emissions and performance
article

Research on Emission Level Assessment of Heavy-Duty Vehicle Fleets Based on Remote Monitoring

Xiaopan An, Biwu Ma, Kunqi Ma, Hang Xu, Hanzhengnan Yu, Hao Zhang, Yu Liu, Jingyuan Li, Yongkai Liang
article en

Abstract

Heavy-duty fleet emissions present a critical environmental challenge in the transportation sector demanding immediate resolution. A scientific evaluation of heavy-duty fleet emission levels underpins the effective management and control of these emissions. Leveraging remote monitoring data, this study presents a methodology for evaluating heavy-duty fleet emission levels via a fleet star-rating mechanism that integrates the fleet’s average emission factor, high-risk emission factor, operational condition emission factor, and total emissions to deliver a overall assessment. These findings support governments and pertinent agencies in understanding the comprehensive emission profiles of their commercial fleets and offer robust, effective methodological guidance for regional ecological and environmental monitoring.

E3S Web of ConferencesVol. 639
Jilin University (CN), China Automotive Technology and Research Center (CN), Jilin Medical University (CN)
Openalex Percentile: Top 79%
Vehicle emissions and performance
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