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作者:

Cai, J. (Cai, J..) | Chen, Y. (Chen, Y..) | Zhang, M. (Zhang, M..) | Hu, Y. (Hu, Y..) | Yang, J. (Yang, J..)

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摘要:

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. © 2017, Editorial Department of Journal of Beijing University of Technology. All right reserved.

关键词:

Big data analysis; Emission analysis; Multi-source heterogeneous data; Nonlocal truck

作者机构:

  • [ 1 ] [Cai, J.]College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Cai, J.]Beijing Transport Energy and Environment Center, Beijing, 100073, China
  • [ 3 ] [Chen, Y.]College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Zhang, M.]Beijing Transport Energy and Environment Center, Beijing, 100073, China
  • [ 5 ] [Hu, Y.]Beijing Transport Energy and Environment Center, Beijing, 100073, China
  • [ 6 ] [Yang, J.]Beijing Transportation Research Center, Beijing, 100073, China

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来源 :

Journal of Beijing University of Technology

ISSN: 0254-0037

年份: 2017

期: 3

卷: 43

页码: 428-433

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SCOPUS被引频次: 1

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