00771084

Component

https://doi.org/10.3141/1664-06

http://scholar.google.com...love&publication_year=1999

To improve upon the speed correction factor methodology used by conventional emission models (i.e., MOBILE and EMFAC), the Environmental Protection Agency is introducing in its latest version of MOBILE (version 6) a new set of facility-specific driving cycles. These cycles represent driving patterns for different facility types (e.g., highway and arterial) and congestion conditions. Using a state-of-the-art comprehensive modal emissions model developed under NCHRP Project 25-11, one is able to predict the integrated emissions and fuel use values for these cycles for a wide variety of vehicle-technology categories. These facility-congestion results are then compared with steady-state emissions-fuel use measurements that were made in deriving the modal model. Furthermore, cruise modes that have mild speed perturbations are also investigated. All of these results are then compared with the speed correction equations used in the conventional emissions factor models. It is found that the mild acceleration perturbations at high speeds can lead to significantly higher emissions compared with the steady-state values. Because of this, the new high-speed freeway driving cycles (representing higher levels of service) in many cases have (modeled) emissions higher than those for the cycles that represent lower levels of service. Fuel consumption by speed does not change drastically in the comparisons.

This paper appears in Transportation Research Record No. 1664, Energy, Air Quality, and Fuels 1999.

English

p. 47-57

1999

Transportation Research Record

0309070600

Figures (6) ; References (11) ; Tables (3)

Computer models; Estimating; Exhaust gases; Freeways; Fuel consumption; Level of service; Speed; Traffic congestion

MOBILE (Computer model)

Vehicle operating modes

Energy; Highways

TRIS, TRB, ATRI

Oct 5 1999 12:00AM

• APPLYING GREENHOUSE GAS EMISSIONS TRADING TO THE LIGHT-DUTY VEHICLE SECTOR
• COMPARISON OF SPEED-ACCELERATION PROFILES FROM FIELD DATA WITH NETSIM OUTPUT FOR MODAL AIR QUALITY ANALYSIS OF SIGNALIZED INTERSECTIONS
• FORECASTING DYNAMIC VEHICULAR ACTIVITY ON FREEWAYS: BRIDGING THE GAP BETWEEN TRAVEL DEMAND AND EMERGING EMISSIONS MODELS
• FUEL-CYCLE GREENHOUSE GAS EMISSIONS IMPACTS OF ALTERNATIVE TRANSPORTATION FUELS AND ADVANCED VEHICLE TECHNOLOGIES
• INTEGRATED APPROACH TO ENVIRONMENTAL RATING FOR LIGHT VEHICLES
• MARKET BARRIERS TO NATURAL GAS VEHICLES AND THE ROLE OF CLEAN AIR CREDITS
• MODAL-BASED INTERMEDIATE SOAK-TIME EMISSIONS MODELING
• TOTAL ENERGY CYCLE ENERGY USE AND EMISSIONS OF ELECTRIC VEHICLES
• USING VIDEO DATA TO MEASURE VEHICLE OPERATING MODES FOR PREDICTION OF EMISSIONS