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Main Title Driving pattern variability and impacts on vehicle carbon monoxide emissions /
Author LeBlanc, D. C. ; Saunders, F. M. ; Meyer, M. D. ; Guensler, R.
Other Authors
Author Title of a Work
LeBlanc, David C.
CORP Author Georgia Inst. of Tech., Atlanta. School of Civil and Environmental Engineering.;Environmental Protection Agency, Research Triangle Park, NC. Air Pollution Prevention and Control Div.
Year Published 1995
Report Number EPA-R-817732-02; EPA/600/A-97/003
Stock Number PB97-192322
Subjects Automobiles--Motors--Exhaust gas--United States ; Automobile driving--United States ; Choice of transportation ; Automobiles--United States--Motors--Exhaust gas
Additional Subjects Automobile exhaust ; Driving style effect on exhaust emissions ; Driver behavior ; Vehicle air pollution ; Travel patterns ; Emission factors ; Emission rates ; Cruising velocity ; Acceleration ; Carbon dioxide ; Mobile pollutant sources ; Engine operating conditions ; Spatial variations ; Temporal variations ; Estimation ; Mathematical models ; Atlanta(Georgia) ; Spokane(Washington) ; Baltimore(Maryland)
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
NTIS  PB97-192322 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation pages [45]-52 ; 28 cm
The paper reports results of an analysis of instrumented vehicle data that revealed significant differences in vehicle operating mode profiles for vehicle operations in Atlanta, GA, Baltimore, MD, and Spokane, WA. Such differences in operating mode characteristics as acceleration rates and cruise speeds are important in the development of new emissions models in that certain vehicle and engine operating modes are proving to be significant sources of elevated emissions rates. These data indicate that the variations in operating mode fractions across cities may be related to differences in driver behavior, where driver behavior is defined as the differences between individuals in their response to roadway characteristics and conditions. A simple predictive model, based on three operating parameters (vehicle speed, engine speed, and manifold absolute pressure) and developed from data collected from eight instrumented General Motors 3.1 liter vehicles, is capable of predicting elevated emission rates for various vehicle/engine activities. This model is used to estimate the relative carbon monoxide emissions differences associated with the differences in operating profiles noted from city to city (and potentially from driver to driver).
Includes bibliographical references (page 52). Microfiche.