Applying machine learning to construct braking emission model for real-world road driving

Applying machine learning to construct braking emission model for real-world road driving

Brake emissions from vehicles are increasing as the number of vehicles increases. However, current research on brake emissions, particularly the intensity and characteristics of emissions under real road conditions, is significantly inadequate compared to exhaust emissions. To this end, a dataset of...

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Bibliographic Details
Main Authors: Ning Wei, Zhengyu Men, Chunzhe Ren, Zhenyu Jia, Yanjie Zhang, Jiaxin Jin, Junyu Chang, Zongyan Lv, Dongping Guo, Zhiwen Yang, Jiliang Guo, Lin Wu, Jianfei Peng, Ting Wang, Zhuofei Du, Qijun Zhang, Hongjun Mao
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Environment International
Subjects:
Brake emission model
Machine learning
Real road conditions
PM2.5
Online Access:http://www.sciencedirect.com/science/article/pii/S0160412022003130

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http://www.sciencedirect.com/science/article/pii/S0160412022003130

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