Predicting vehicular emissions in high spatial resolution using pervasively measured transportation data and microscopic emissions model

Published: Jun 1, 2016
Abstract
Air pollution related to traffic emissions pose an especially significant problem in cities; this is due to its adverse impact on human health and well-being. Previous studies which have aimed to quantify emissions from the transportation sector have been limited by either simulated or coarsely resolved traffic volume data. Emissions inventories form the basis of urban pollution models, therefore in this study, Global Positioning System (GPS)...
Paper Details
Title
Predicting vehicular emissions in high spatial resolution using pervasively measured transportation data and microscopic emissions model
Published Date
Jun 1, 2016
Journal
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