The Development of Traffic Information for Estimation of Mobile Source Emissions for Air Quality Modeling [Volume II, IMPACT: User’s Guide]
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1986-10-01
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Edition:Final Report: September 1979 - October 1986
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Abstract:Estimation of mobile source emissions for metropolitan areas is required on a continuing basis for assessing the impact of highway projects on urban air quality, for preparation of State Implementation Plans (SIPs) and for monitoring progress toward air quality standards. This study examined several approaches to the problem of estimating mobile source emissions for a metropolitan area. The result of that examination was a decision to complete development of a computer model called IMPACT. The IMPACT User's Guide, the Appendix to this report, is the principal product of this study. IMPACT: Highway Pollutant Emission Model provides an improved method for estimating mobile source emissions for an urbanized area. IMPACT was initiated by UMTA for use with the UMTA/FHWA Urban Transportation Planning System (UTPS). IMPACT was extensively modified and completed as part of this study. IMPACT is a macroscale computer model that uses a loaded highway network and MOBlLE3 emission factors to compute mobile source emissions. Application is for urban areas that maintain travel demand models utilizing the trip generation, trip distribution, and traffic assignment methodology. IMPACT computes hydrocarbon (HC), and carbon monoxide (CO), and oxides of nitrogen (NOX) for each traffic zone in the study area or each grid in a user-specified grid square. IMPACT is used with an assigned highway network. Typically, IMPACT would be used with a base year validated traffic assignment to model existing conditions and a forecast traffic assignment t to estimate future mobile source emissions. Copies of IMPACT may be obtained by sending a 9-track tape to the Texas Transportation Institute.
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Main Document Checksum:urn:sha-512:a31af57918b3f4b5e1887c5f0572d843e79cc700487d851aeee3e74546ec25c8549571cee95da57d7a0f61a9fe17d55fabe046bfb8f48d71e599687dc84ac9c7
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