Methodology for Developing Microemission Model Based on On-Board Heavy-Duty Truck Tests in China

A vehicle emission model is urgently needed in China to evaluate emissions under various traffic conditions. This paper summarized possible parameters of emission models. The correlations of emissions against several parameters were then analyzed by using the Beijing test data. This data is the first-hand gaseous and particulate matters (PM) emission data using on-board test instruments for heavy-duty diesel trucks in China. Several activity parameters were finally selected to set up the micro-emission model. Clusters and multivariable linear regression models were combined to develop a micro-emission model. Both the aggregated and instantaneous emission results showed that the micro-emission model tracked the measurements results well. This work suggests that this combined method can be used to finally establish an improved emission prediction model in China, based on the input of traffic information.

• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Liu, Huan
  • He, Kebin
  • Lents, James M
  • Wang, Qidong
• Conference:
  • Transportation Research Board 87th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2008-1-13 to 2008-1-17
• Date: 2008

Language

• English

Media Info

• Media Type: DVD
• Features: Figures; References; Tables;
• Pagination: 13p
• Monograph Title: TRB 87th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

• TRT Terms: Air quality management; Emissions testing; Exhaust gases; Heavy duty trucks; Methodology; Particulates; Pollutants; Vehicle electronics
• Geographic Terms: China
• Subject Areas: Energy; Environment; Highways; Vehicles and Equipment; I15: Environment;

Filing Info

• Accession Number: 01088650
• Record Type: Publication
• Report/Paper Numbers: 08-1458
• Files: TRIS, TRB
• Created Date: Feb 25 2008 2:33PM