Variation of truck emission by trip purposes: Cases by real-world trajectory data

Diesel trucks are the primary source of PM₂.₅ and NOₓ. However, current methods for estimating real-world truck emissions rely on uniform emission factors, disregarding essential factors that could vary by the trip purpose, such as load status, empty-load rate, driving behavior, etc. Thus, this study decomposes the relationship between trip and emissions through the trip chain perspective by analyzing massive trajectory data. It introduces a method to calculate on-road truck emissions considering different trip purposes and the shift in load states between purposes. Results indicate that the real-world emissions from heavy-duty diesel trucks vary significantly by trip purpose, with the highest variations in the emission factors for NOₓ and PM₂.₅ exceeding 21.06% and 14.24%, respectively. Comparison with previous studies demonstrates the high accuracy and reliability of the authors' proposed method for estimating truck emissions when accounting for different trip purposes.

• Record URL:
  https://doi.org/10.1016/j.trd.2023.103887
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1361920923002845
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • © 2023 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Yao, Zhu
  • 0000-0001-5676-1675
  • Gan, Mi
  • 0000-0002-0491-5019
  • Qian, Qiujun
  • 0000-0001-5930-3370
  • Qiao, Yu
  • Wei, Lifei
• Publication Date: 2023-9

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 103887
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 122
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Data analysis; Nitrogen oxides; Particulates; Pollutants; Trip purpose; Trucks; Vehicle trajectories
• Subject Areas: Environment; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01891348
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 28 2023 9:28AM