Validation of the Measure Automobile Emissions Model: A Statistical Analysis

Details

• Creators:
  Bachman, William ; Fomunung, Ignatius ; Guensler, Randall ; Washington, Simon
• Corporate Contributors:
  Clark Atlanta University ; Georgia Institute of Technology
• Subject/TRT Terms:
  • Air quality
  • Air quality management
  • Urban areas
  • Emission control systems
  • Statistical analysis
  • Exhaust gases
  • Mobile Emissions Assessment System for Urban and Regional Evaluation (MEASURE)
• Series:
  Journal of Transportation and Statistics
• DOI:
  https://doi.org/10.21949/1501684
• Resource Type:
  Journal Article
• Geographical Coverage:
  United States
• Corporate Publisher:
  United States. Department of Transportation. Bureau of Transportation Statistics
• Abstract:
  The Mobile Emissions Assessment System for Urban and Regional Evaluation (MEASURE) model provides an external validation capability for hot stabilized option; the model is one of several new modal emissions models designed to predict hot stabilized emission rates for various motor vehicle groups as a function of the conditions under which the vehicles are operating. The validation of aggregate measurements, such as speed and acceleration profile, is performed on an independent data set using three statistical criteria. The MEASURE algorithms have proved to provide significant improvements in both average emission estimates and explanatory power over some earlier models for pollutants across almost every operating cycle tested.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/4757/dot_4757_DS1.pdf
• File Type:
  [PDF - 122.15 KB]
• Collection(s):
  BTS Products
• Main Document Checksum:
  urn:sha-512:2d9308c9d356b9de266c619fa1e2654fe030a6cf25ed93e637e610cc6e788f7050e85af9ecab90a8d6e403b1e219cc55bad4f8755970eb9bd48c48928563a928