Applying a neural network-based approach for estimating instantaneous emissions of the heavy-duty buses: A case study

The lack of a chassis and a transient engine dynamometer for heavy-duty vehicles in Vietnam is a significant impediment to develop the country-specific emission factors. This study presents a novel approach for modeling the emission rate of heavy-duty bus engines based on the artificial neural netwo...

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Bibliographic Details
Published in:Energy sources. Part A, Recovery, utilization, and environmental effects Recovery, utilization, and environmental effects, 2022-09, Vol.44 (3), p.8012-8023
Main Authors: Le, Anh-Tuan, Nguyen, Yen-Lien T., Duc, Khanh Nguyen, Nghiem, Trung-Dung, Pham, Huu-Tuyen, Bui, Ngoc-Dung
Format: Article
Language:English
Subjects:
ANN
emission factor
heavy-duty bus
instantaneous emission
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Summary:The lack of a chassis and a transient engine dynamometer for heavy-duty vehicles in Vietnam is a significant impediment to develop the country-specific emission factors. This study presents a novel approach for modeling the emission rate of heavy-duty bus engines based on the artificial neural network (ANN) to overcome the above limitation while ensuring emission prediction's accuracy and minimizing test costs. The ANN-based models with high reliability (R 2  > 0.98 and MAPE
ISSN:1556-7036
1556-7230
DOI:10.1080/15567036.2022.2118903