A methodology for developing modal vehicle emissions and fuel consumption models has been developed by Oak Ridge National Laboratory (ORNL), sponsored by the Federal Highway Administration. These models, in the form of look-up tables for fuel consumption and emissions as functions of vehicle speed and acceleration, are designed for simulations such as the Federal Highway Administration's TRAF-series of models. These traffic models are used to evaluate the impacts of roadway design on emissions and fuel consumption. Vehicles are tested on-road and on a chassis dynamometer to characterize the entire operating range of each vehicle. Engine parameters are measured on-the-road as functions of vehicle speed and acceleration while driving the cars through their entire operating envelope. Following road testing, the vehicles are driven on the chassis dynamometer while making transient and steady-state emissions and fuel consumption measurements as functions of the same engine parameters. The two data sets are merged numerically to deliver data-based models of fuel consumption and emissions as functions of vehicle speed and acceleration. As a validation exercise, the models were used to predict cycle emissions and fuel consumption and the results were compared to certification-type tests on a different population of vehicles. Results of the verification exercise show that the developed models can generally predict cycle emissions and fuel consumption with error rates comparable to the variability of repeated dynamometer tests.
Development and Validation of Light-Duty Vehicle Modal Emissions and Fuel Consumption Values for Traffic Models
1999
102 pages
Report
Keine Angabe
Englisch
Air Pollution & Control , Road Transportation , Energy Use, Supply, & Demand , Environmental Studies , Traffic models , Modal distribution , Fuel consumption , Exhaust emissions , Vehicle air pollution , Traffic simulation , Acceleration , Velocity , Engine performance , Travel modes , Chassis dynamometers , Highway design , Computerized simulation , Tables(Data) , Light duty vehicles
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