Emission modelling of light-duty vehicles in India using the revamped VSP-based MOVES model: The case study of Hyderabad

H Perugu - Transportation Research Part D: Transport and …, 2019 - Elsevier
Abstract US-EPA's MOVES is the new generation mobile source emissions model, which is
built on Vehicle Specific Power based assumptions and that makes it suitable to apply …

Variation of truck emission by trip purposes: Cases by real-world trajectory data

Z Yao, M Gan, Q Qian, Y Qiao, L Wei - Transportation Research Part D …, 2023 - Elsevier
Diesel trucks are the primary source of PM 2.5 and NO X. However, current methods for
estimating real-world truck emissions rely on uniform emission factors, disregarding …

Effects of vehicle load on emissions of heavy-duty diesel trucks: A study based on real-world data

X Wang, G Song, Z Zhai, Y Wu, H Yin, L Yu - International Journal of …, 2021 - mdpi.com
Vehicle loads have significant impacts on the emissions of heavy-duty trucks, even in the
same traffic conditions. Few studies exist covering the differences in emissions of diesel …

Combined top-down and bottom-up approach for CO2 emissions estimation in building sector of beijing: Taking new energy vehicles into consideration

Q Wang, H Zhu - Energy, 2024 - Elsevier
The current top-down method for calculating carbon emissions in the building sector
erroneously includes carbon emissions from charging new energy vehicles (NEVs). This …

VEIN v0. 2.2: an R package for bottom–up vehicular emissions inventories

S Ibarra-Espinosa, R Ynoue… - Geoscientific Model …, 2018 - gmd.copernicus.org
Emission inventories are the quantification of pollutants from different sources. They provide
important information not only for climate and weather studies but also for urban planning …

Greenhouse gas emission prediction on road network using deep sequence learning

L Alfaseeh, R Tu, B Farooq, M Hatzopoulou - Transportation Research Part …, 2020 - Elsevier
Mitigating the substantial undesirable impact of transportation systems on the environment is
paramount. Thus, predicting Greenhouse Gas (GHG) emissions is one of the profound …

A high-resolution emissions inventory and its spatiotemporal pattern variations for heavy-duty diesel trucks in Beijing, China

S Cheng, F Lu, P Peng - Journal of Cleaner Production, 2020 - Elsevier
Heavy-duty diesel trucks (HDDTs) cause serious pollution, and a high spatiotemporal
resolution emissions inventory is a valuable assessment tool for use in quantitatively …

Spatiotemporal evolution pattern detection for heavy-duty diesel truck emissions using trajectory mining: A case study of Tianjin, China

S Cheng, B Zhang, P Peng, Z Yang, F Lu - Journal of Cleaner Production, 2020 - Elsevier
Emissions from heavy-duty diesel trucks (HDDTs) pose a major threat to environment and
human health. Understanding the behavior of pollutant emissions from HDDTs facilitate the …

Investigation and prediction of heavy-duty diesel passenger bus emissions in Hainan using a COPERT model

F Li, J Zhuang, X Cheng, M Li, J Wang, Z Yan - Atmosphere, 2019 - mdpi.com
To investigate the emission status and predict the future trends of heavy-duty diesel
passenger buses in Hainan Province, the technical level distribution, activity characteristics …

Downscaling national road transport emission to street level: A case study in Dublin, Ireland

MS Alam, P Duffy, B Hyde, A McNabola - Journal of Cleaner Production, 2018 - Elsevier
Emissions from road transport are routinely prepared at the national scale in many countries
under different national and international policies, directives and legislation. Scaling down …