Pollutant Emission Analysis-oriented Application of Multi-source Heterogeneous Data on Capital-entering Nonlocal Trucks

In order to accurately calculate the pollutants of the nonlocal trucks entering Beijing, the study of the quality analysis and evaluation of data from multiple sources was presented. The presentation of Beijing City's raw big data including city-wide traffic monitoring data and vehicle position monitoring data was given, and the acquirement of the structural model input data by creating a heterogeneous big data crossmatching method was introduced in accordance with the requirements for the input of the existing macroscopic pollutant emission model, so as to dramatically improve the accuracy of the model's input data. In addition, Beijing City's nonlocal truck pollutant emission intensity was calculated according to the evaluation requirements given the relevant policy and their share rate in Beijing City's pollutant emissions was quantified, thus providing support for scientific decision-making in terms to its nonlocal truck pollutant emission control.