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 …
estimating real-world truck emissions rely on uniform emission factors, disregarding …
PM emissions from heavy-duty trucks and their impacts on human health
ACR Teixeira, RR Borges, PG Machado… - Atmospheric …, 2020 - Elsevier
The Brazilian transport system is based on the use of highways and road heavy-duty trucks
are the main type of vehicle to perform this activity. There are more than 1 million km of …
are the main type of vehicle to perform this activity. There are more than 1 million km of …
[HTML][HTML] Prediction of heavy-duty engine performance for renewable fuels based on fuel property characteristics
Renewable drop-in fuels can bring timely and efficient defossilization of the current fleet of
heavy-duty vehicles. In the present study, different blends of renewable components with …
heavy-duty vehicles. In the present study, different blends of renewable components with …
Evaluation of PM2. 5 spatio-temporal variability and hotspot formation using low-cost sensors across urban-rural landscape in lucknow, India
The high-resolution spatio-temporal monitoring through low-cost sensors (LCS) provides
important insights into the dynamics of localized pollution patterns and in conceptualizing …
important insights into the dynamics of localized pollution patterns and in conceptualizing …
Measuring Spatial and Temporal PM2.5 Variations in Sacramento, California, Communities Using a Network of Low-Cost Sensors
A Mukherjee, SG Brown, MC McCarthy, NR Pavlovic… - Sensors, 2019 - mdpi.com
Low-cost sensors can provide insight on the spatio-temporal variability of air pollution,
provided that sufficient efforts are made to ensure data quality. Here, 19 AirBeam particulate …
provided that sufficient efforts are made to ensure data quality. Here, 19 AirBeam particulate …
A high-resolution emissions inventory and its spatiotemporal pattern variations for heavy-duty diesel trucks in Beijing, China
Heavy-duty diesel trucks (HDDTs) cause serious pollution, and a high spatiotemporal
resolution emissions inventory is a valuable assessment tool for use in quantitatively …
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
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 …
human health. Understanding the behavior of pollutant emissions from HDDTs facilitate the …
A Python toolkit for integrating geographic information system into regulatory dispersion models for refined pollution modeling
AERMOD is designated as US Environmental Protection Agency (EPA)'s preferred air
dispersion model for refined transportation project hot-spot analyses beginning in 2020. One …
dispersion model for refined transportation project hot-spot analyses beginning in 2020. One …
Lane restriction system to reduce the environmental cost of urban roads
Separating trucks from passenger vehicles on urban roads is a task that has attracted
attention in many countries because of its capacity to improve traffic performance and …
attention in many countries because of its capacity to improve traffic performance and …
Developing high-resolution urban scale heavy-duty truck emission inventory using the data-driven truck activity model output
Air quality modelers often rely on regional travel demand models to estimate the vehicle
activity data for emission models, however, most of the current travel demand models can …
activity data for emission models, however, most of the current travel demand models can …