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The conventional models for idling emission estimation are mainly based on ambient temperature and the status of vehicle itself, such as vehicle type/size, age and accumulated mileage and fuel type. Instant vehicle activity information is seldom taken into account. In this research, a machine learning approach is proposed to dynamically estimate ve... Read More»
Qing Li, Fengxiang Qiao and Lei Yu
Research Article: Environ Pollut Climate Change 2016, 1:1
DOI: 10.4172/2573-458X.1000106
Abstract Peer-reviewed Full Article Peer-reviewed Article PDF Mobile Full Article
Qing Li, Jianbang Du, Fengxiang Qiao and Lei Yu
Commentary: Environ Pollut Climate Change 2017, 1:4
Essential Tasks to Reduce Environmental Pollution in Urban Transportation Networks
Fengxiang Qiao, Qing Li and Lei Yu
Review Article: Environ Pollut Climate Change 2017, 1:4
Fengxiang Qiao, Boya You, Qing Li and Lei Yu
Review Article: Environ Pollut Climate Change 2017, 1:3
How the Roadway Pavement Roughness Impacts Vehicle Emissions?
Fengxiang Qiao, Qing Li and Lei Yu
Short Communication: Environ Pollut Climate Change 2017, 1:3
Fengxiang Qiao, Qing Li and Lei Yu
Review Article: Environ Pollut Climate Change 2017, 1:2
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