A Deep Learning Micro-Scale Model to Estimate the CO₂ Emissions from Light-Duty Diesel Trucks Based on Real-World Driving

On-road carbon dioxide (CO₂) emissions from light-duty diesel trucks (LDDTs) are greatly affected by driving conditions, which may be better predicted with the sequence deep learning model as compared to traditional models. In this study, two typical LDDTs were selected to investigate the...

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Detalhes bibliográficos

Principais autores:	Rongshuo Zhang, Yange Wang, Yujie Pang, Bowen Zhang, Yangbing Wei, Menglei Wang, Rencheng Zhu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-09-01
Colecção:	Atmosphere
Assuntos:	vehicle emission model deep learning light-duty diesel truck (LDDT) CO<sub>2</sub> emissions portable emission measurement system (PEMS) long short-term memory network (LSTM)
Acesso em linha:	https://www.mdpi.com/2073-4433/13/9/1466
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