A Deep Learning Micro-Scale Model to Estimate the CO<sub>2</sub> Emissions from Light-Duty Diesel Trucks Based on Real-World Driving

A Deep Learning Micro-Scale Model to Estimate the CO<sub>2</sub> Emissions from Light-Duty Diesel Trucks Based on Real-World Driving

On-road carbon dioxide (CO<sub>2</sub>) 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 inv...

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Bibliographic Details
Main Authors: Rongshuo Zhang, Yange Wang, Yujie Pang, Bowen Zhang, Yangbing Wei, Menglei Wang, Rencheng Zhu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Atmosphere
Subjects:
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)
Online Access:https://www.mdpi.com/2073-4433/13/9/1466

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https://www.mdpi.com/2073-4433/13/9/1466

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