Development of a modal emissions model using data from the Cooperative Industry/Government Exhaust Emission test program
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2003-06-22
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NTL Classification:AGR-IMPACTS-Environment ; NTL-ENERGY AND ENVIRONMENT-Air Quality ; NTL-ENERGY AND ENVIRONMENT-Environment Impacts ; NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATION
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Abstract:The Environmental Protection Agency’s (EPA’s) recommended model, MOBILE5a, has been ; used extensively to predict emission factors based on average speeds for each fleet type. ; Because average speeds are not appropriate in modeling intersections or other scenarios ; involving intermittent travel, emission factors that are specific for vehicle operating modes ; (acceleration, deceleration, free-flow, and idle) have been studied in the past. Several models ; have been developed that use the concept of acceleration-speed products to serve as input ; variables to determine multipliers that can be used to modify constant speed emission factors. ; Although relatively simplistic, this process provides results that are considered more accurate ; than constant speed emission factors. The Comprehensive Modal Emissions Model (CMEM) ; developed under sponsorship by the National Cooperative Highway Research Program ; (NCHRP) is based on a parameterized physical approach. While anticipated to be more ; accurate, the input requirements to the model are necessarily more complicated. ; This paper presents a new modal emissions model based on existing emissions data from the ; early 1990s revision efforts of the Federal Test Procedure (FTP). The model updates the older ; acceleration-speed product models that were based on data from the 1970s. Using secondby- ; second emissions data, several different forms of the modeling equations were developed ; and statistically analyzed for predicting multiplying factors for CO. A goal in developing this ; model is to serve as a comparison basis for the NCHRP model. The second and more ; important goal is to use the model as part of a microscale traffic simulation model that predicts air quality near roadways.
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Main Document Checksum:urn:sha256:35f877fe97d753a7038fd3264df31faf8126219abb0fee218352b5f50742dbb2