USING OBSERVED TRAFFIC VOLUMES TO IMPROVE FINE-GRAINED REGIONAL EMISSIONS ESTIMATION

A post-processor, such as the California Direct Travel Impact Model (DTIM2), is frequently used to disaggregate the period-based travel demand assignments to the fine grained spatial and temporal resolution required by the photochemical models. A recent theoretical enhancement proposed refining the temporal and spatial resolutions of travel demand model predictions using observed count data. This method provides a technique for disaggregating the period-based travel demand model assignments (e.g., AM peak, PM peak) into the hourly summaries required by most photochemical model. In this study, the authors present a methodological framework for applying the new theory and discuss the results of a large-scale application empirical comparison between the standard and proposed methods for estimating regional mobile emissions in Sacramento, California.

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  • Corporate Authors:

    Elsevier

    The Boulevard, Langford Lane
    Kidlington, Oxford  United Kingdom  OX5 1GB
  • Authors:
    • Niemeier, D A
    • Lin, K
    • Utts, J
  • Publication Date: 1999-9

Language

  • English

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Filing Info

  • Accession Number: 00768191
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Aug 23 1999 12:00AM