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Modifying Link-Level Emissions Modeling Procedures for Applications within the MOVES Framework

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    Final Report
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  • Abstract:
    Emission inventories for on-road mobile sources are compiled across the country in support of State Implementation Plans (SIPs) and Conformity Demonstrations as mandated by the Federal Clean Air Act. Each local agency responsible for developing these inventories has created its own approach for combining vehicle activity, area specific fleet information, local regulations, and EPA’s MOBILE6 emissions modeling software. All of these approaches will soon have to be redesigned in order to work with EPA’s replacement for MOBILE6, entitled the Motor Vehicle Emission Simulator (MOVES) model. The primary goal of this study is to ease the transition to the MOVES model by providing both a road map for developing updated emissions inventories, as well as an analysis of the likely impacts of the transition on the emissions inventories themselves. The adoption of EPA’s new MOVES model represents a fundamental change in the onroad vehicle emission inventory process. MOVES uses real world driving cycle data and the measured emissions from associated drive cycles to model a wide range of possible driving patterns and their resultant emissions. With this approach, emissions due to any particular driving cycle may be estimated. The resulting estimates are based on real world driving and are well-suited for integration with transportation models. Effective utilization of the new MOVES model within the existing inventory development framework may require extensive modification to on-road data collection and processing requirements. However, successful integration of the MOVES model into this process offers the potential for significant improvements in both the accuracy and precision of the resulting emissions estimates. With this in mind, another goal of this study was to evaluate the effects of using alternative drive cycles within the MOVES model upon vehicle emissions.
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    urn:sha-512:f6aea23a7a53527435be699a0ee046926b67f1fe584f522cf419cd8e3151fbcd47fecb49bcd83f01a4cf1c487c383ece1b7d499b09945c32373069e1617b45dc
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    Filetype[PDF - 4.53 MB ]
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English
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