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HEAVY DUTY DIESEL VEHICLE LOAD ESTIMATION: DEVELOPMENT OF VEHICLE ACTIVITY OPTIMIZATION ALGORITHM
Citation:
YOON, S., R. GUENSLER, AND E. S. KIMBROUGH. HEAVY DUTY DIESEL VEHICLE LOAD ESTIMATION: DEVELOPMENT OF VEHICLE ACTIVITY OPTIMIZATION ALGORITHM. In Proceedings, AWMA's 99th Annual Conference & Exhibition, New Orleans, LA, , New Orleans, LA, June 20 - 23, 2006. Air & Waste Management Association, Pittsburgh, PA, NA, (2007).
Impact/Purpose:
To inform public
Description:
The Heavy-Duty Vehicle Modal Emission Model (HDDV-MEM) developed by the Georgia Institute of Technology(Georgia Tech) has a capability to model link-specific second-by-second emissions using speed/accleration matrices. To estimate emissions, engine power demand calculated using speed/accleration matrices is directly linked to emission rates. Because the HDDV-MEM calculates engine power demand for each vehicle activity reflected as activity fractions in speed/accleration matrix cells, the HDDV-MEM requires extensive model processing time and computing resources for modeling emissions.
To reduce model processing time, the Georgia Tech research team developed a low vehicle activity frequency optimization algorithm that allocates low vehicle activity frequencies into adjacent neighboring cells using the principle of the gravity model. This low frequency optimization algorithm significantly reduces model processing time and retains the same resolution of engine power demand estimates. This new application has a potential for use in any modal emission model that employs speed/acceleration matrices fir engine power demand estimates in its emissions calculation.