Research progress on vehicle exhaust emission factor model and dispersion model

Abstract

Population, economy, resources and environment have received considerable concerns for human beings. A lot of resources are consumed due to demographics and growth prospects, while excessive utilization resources result in environment pollution problems which are intensified the conflict among environment and population, economy and environment on account of the development of industrial production and transportation. A large amount of fossil fuel are consumed by vehicles that exhaust gas emission more than 100 kinds of pollutants such as CO2, CO, NO2, SO2, PM2.5 and so forth, these pollutants aggravate the greenhouse effect and air pollution. The paper reviewed vehicle exhaust emission factor and diffusion model at home and abroad, and summarized the problems existing in the research, and then the scientific outlook were carried on. Proposals were proposed that the research should take on the mountainous area highway which might stay away from the interference of industrial and residential areas. The review not only can help scholars build the high accuracy exhaust emission factor model and dispersion model, but also can provide vehicle pollution control of the foundation of scientific decision-making.

Prediction of CO and NOx Emissions from Automotive Engines Based on Machine Learning Algorithms

“…Chauhan Boski P. et al [3] used VISSIM model to simulate the driving behavior parameters of a single vehicle category to predict vehicle emissions based on vehicle speed. Zhang Lanyi et al [4] established a micro emission model for predicting automobile exhaust emission based on the least square regression fitting method.…”