Journal of Civil and Environmental Engineering

Qing Li

Publications

• Research Article
  Non- Linear Models of Light-Duty Vehicle Emission Factors Considering Pavement Roughness
  Author(s): Qing Li, Feng-Xiang Qiao and Lei YuQing Li, Feng-Xiang Qiao and Lei Yu
  
  Emission factors are very important measures for developing an emission inventory, making decisions, designing control strategies, mitigating climate change, and even improving public health, in terms of respiratory system diseases. The emission factors could be either measured from field tests or estimated by an emission model. Existing models seldom consider the impacts of some special factors such as pavement roughness. As the impacts of the pavement roughness on emissions are very complicated, a linear model or physical model may not depict the mappings from affecting factors to resulted emission factors. In this paper, two non-linear models, including K-Nearest Neighbor (KNN) and Neural Network (NN) were built to estimate vehicle emission factors using roughness involved input data. A best fitted model was identified to illustrate the emission pattern along a wide range of paveme.. Read More»
  DOI: 10.4172/2165-784X.1000268

  Abstract PDF