Current emission models primarily focus on traditional combustion vehicles and may not accurately represent emissions from the increasingly diverse vehicle fleet. The growing …
W Lei, H Chen, L Lu - World Academy of Science, Engineering and …, 2010 - Citeseer
Microscopic emission and fuel consumption models have been widely recognized as an effective method to quantify real traffic emission and energy consumption when they are …
Burning fossil fuels results in emissions of carbon dioxide (CO2), which significantly contributes to atmospheric changes and climate disturbances. Consequently, people are …
Z Wang, K Luo, H Yu, K Feng, H Ding - Energy, 2024 - Elsevier
In accordance with the emission regulations specified in GB17691-2018 ″Emission Limits and Measurement Methods for Heavy-Duty Vehicles (China VI)," this paper conducted …
J Seo, Y Lim, J Han, S Park - Urban Climate, 2023 - Elsevier
Measuring vehicular emissions is crucial for emission management and air quality control. However, conventional measurement equipment is costly and requires continuous …
S Shin, Y Lee, J Park, M Kim… - Proceedings of the …, 2021 - journals.sagepub.com
Deep-learning models were developed and evaluated for predicting the engine-out emission of NOx—one of the main pollutants emitted from diesel engines—under transient …
S Sahay, P Pawar - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
One of the biggest challenges faced by humanity today is climate change. Governmental Organisations and Au-thorities all across the world, are now taking important steps to tackle …
KB Altuğ, SE Küçük - 2019 3rd International Symposium on …, 2019 - ieeexplore.ieee.org
The dynamics underlying the tailpipe NOx emissions in vehicles is in a complex relationship with multiple engine components in a temporal manner. Physical models constructed to …
A Warey, J Gao, R Grover - SAE International Journal of Advances and …, 2021 - sae.org
Abstract Analysis-driven pre-calibration of a modern automotive engine is extremely valuable in significantly reducing hardware investments and accelerating engine designs …