The impact of smart traffic interventions on roadside air quality employing machine learning approaches

被引：0
|
作者：
Munir, Said [1 ]
Luo, Zhiwen [2 ,5 ]
Dixon, Tim [2 ]
Manla, Ghaithaa [3 ]
Francis, Daniel [4 ]
Chen, Haibo [1 ]
Liu, Ye [1 ]
机构：
[1] Institute for Transport Studies, Faculty of Environment, University of Leeds, Leeds,LS2 9JT, United Kingdom
[2] Department of Construction Management & Engineering, School of the Built Environment, University of Reading, Reading,RG6 6AW, United Kingdom
[3] Yunex Traffic, R&D UK, Siemens Mobility Limited, Sopers Lane, Poole,BH17 7ER, United Kingdom
[4] Stantec, 10 Queen Square, Bristol,BS1 4NT, United Kingdom
[5] Welsh School of Architecture, Cardiff University, Cardiff,CF10 3NB, United Kingdom
来源：
Transportation Research Part D: Transport and Environment | 2022年 / 110卷
关键词：
All Open Access; Green;
D O I：
暂无
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学科分类号：
摘要：
30
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