Record Display for the EPA National Library Catalog
RECORD NUMBER: 5 OF 14
|OLS Field Name||OLS Field Data|
|Main Title||Driving pattern variability and impacts on vehicle carbon monoxide emissions /|
|Author||LeBlanc, D. C. ; Saunders, F. M. ; Meyer, M. D. ; Guensler, R.|
|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.|
|Report Number||EPA-R-817732-02; EPA/600/A-97/003|
|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)|
|Collation||pages -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.