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A Heavy-Duty Vehicle Visual Classification Scheme: Heavy-Duty Vehicle Reclassification Method for Mobile Source Emissions Inventory Development. Prepared for CEE6792 Seungju Yoon. OUTLINE. Background Objectives Current HDV classification schemes HDV weight regulation
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A Heavy-Duty Vehicle Visual Classification Scheme: Heavy-Duty Vehicle Reclassification Method for Mobile Source Emissions Inventory Development Prepared for CEE6792 Seungju Yoon
OUTLINE • Background • Objectives • Current HDV classification schemes • HDV weight regulation • HDV manufacturers’ information • Current methods of HDV reclassification • A new HDV reclassification scheme • Emissions rates analysis • Uncertainties • Recommendations
BACKGROUND • Atlanta highly depends goods movement (60% of consumer goods) on freight trucks emitting major mobile NOX and DPM, comparing to other metropolitan areas in U.S. • Air Quality agencies should develop accurate mobile source emissions inventory for regional air quality planning • Current HDV reclassification method (EPA) causes loosing the find resolution of the FHWA classes HDV on HPMS database
OBJECTIVES • Develop a new HDV reclassification method using GT visual HDV classification scheme and POLK data within 21 counties in Atlanta • Compare pollutant emissions rates from the new HDV reclassification method to them from EPA reclassification method
EPA HDV CLASSIFICATION (1) • Combination of growth vehicle weight ratings (GVWR) and fuel type (gasoline or diesel) • Sixteen HDV classes • Classes 6 to 13 for gasoline vehicles • Classes 16 to 23 for diesel vehicles
FHWA HDV CLASSIFICATION (1) • Combination of the number of axles and tractor-trailer configurations • Nine HDV classes • Single units (Class 5, two-axles, six-tires) • Single units (Classes 6 to 7) • Double units (Classes 8 to 10) • Multiple units (Classes 11 to 13)
GT VISUAL HDV CLASSIFICATION • Combination of the number of axles and tractor-trailer configurations according to their horsepower ratings • Four HDV classes • Class A (Single unit, two-axles) • Class B (Single unit, +two-axles) • Class C (Two units, three or four-axles) • Class D (+two units, +four-axles)
FHWA HDV GVWR REGULATIONS • A single axle: 20,000 lbs • A tandem axle: 34,000 lbs • Two axle HDV: 40,000 lbs • Three axle HDV: 60,000 lbs • Four axles and more HDV: 80,000 lbs
CURRENT RECLASSIFICATION METHODS (1) • EPA method • Combine all FHWA HDV classes and apportion EPA HDV classes according to these local or national VMT fractions FHWA 5 EPA 6 VMT FRACTIONS HPMS DATABASE FHWA 5 FHWA 6 EPA 7 FHWA 6 FHWA 7 FHWA --- FHWA 7 EPA 17 FHWA --- EPA ---
CURRENT RECLASSIFICATION METHODS (2) • National Cooperative Highway Research Program (NCHRP) method • Apply conversion factors, which were developed from the national VMT fractions of FHWA classes, for FHWA HDV classes to EPA HDV classes or vise versa
NEW RECLASSIFICATION METHOD - MAPPING CLASSES USING POLK DATA
VEHICLE VOLUE COLLECTION (2) • Daily vehicle miles traveled on Interstates and principal Arterials within 21 counties in Atlanta
EMISSIONS RATE ESTIMATION (1) ER = emissions rate (ton/day)Er = emissions rates from Mobile6 (g/mi-veh)CF = conversion factors from POLK dataVol = Vehicle volumesRL = roadway segment lengthsi = gasoline vehiclesj = road segments k = diesel vehicles
UNCERTAINTIES • Regional vehicle registration distributions from POLK data may differ from the national registration distribution • The percentages of articulated straight trucks and tractors were not known • FHWA Class 5 may loose EPA Class HDV2b (GVWR, 10,000 lbs)
RECOMMENDATIONS AND FUTURE RESEARCH WORKS • GT visual HDV classification scheme is very useful to identify the HDV classes • GT visual HDV scheme is the hybrid scheme of EPA and FHWA HDV classification schemes • Fine tuning GT classes to EPA classes requires field data collection (GVWR by GT vehicle classes)
ACKNOWLEDGEMENT • Funded by Georgia Regional Transportation Authority • Co-authored with Peng Zhang, James R. Pearson, Randall L. Guensler, and Michael O. Rodgers in Air Quality Laboratory, Transportation Research Group • Be sent to AWMA conference in 2004