A new modelling approach for road traffic emissions: VERSIT+

The objective of VERSIT+ LD is to predict traffic stream emissions for light-duty vehicles in any particular traffic situation. With respect to hot running emissions, VERSIT+ LD consists of a set of statistical models for detailed vehicle categories that have been constructed using multiple linear regression analysis. The aim is to find empirical relationships between mean emission factors, including confidence intervals, and a limited number of speed-time profile and vehicle related variables. VERSIT+ is a versatile model that has already been used in different projects at different geographical levels. Compared to COPERT IV, the VERSIT+ average speed algorithms provide increased accuracy with respect to the prediction of emissions in specific traffic situations.

• Record URL:
  http://www.sciencedirect.com/science/article/B6VH8-4P00SG1-2/2/adc6236606ab8e1bbf0caa56373f016d
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier
• Authors:
  • Smit, Robin
  • Smokers, Richard
  • Rabe, Elke
• Publication Date: 2007-8

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 414-422
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 12
  • Issue Number: 6
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Accuracy; Algorithms; Confidence intervals; Empirical methods; Exhaust gases; Highway traffic; Light vehicles; Linear regression analysis; Pollutants; Statistical analysis
• Uncontrolled Terms: Emissions models
• Subject Areas: Data and Information Technology; Energy; Environment; Highways; I15: Environment;

Filing Info

• Accession Number: 01076448
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Aug 27 2007 3:56PM