INTEGRATING TRAVEL DEMAND FORECASTING MODELS WITH GIS TO ESTIMATE HOT STABILIZED MOBILE SOURCE EMISSIONS

In a cooperative research effort with the U.S. Environmental Protection Agency, Georgia Tech is developing a regional mobile source emissions model using a Geographic Information System framework. The emissions model is designed to improve emission estimates by accounting for the spatial and temporal effects of a variety of vehicle activities, environmental factors, and vehicle and driver characteristics. While a description of the overall modeling approach is given, the emphasis of the paper is to describe the hot stabilized emissions estimation process and the role of travel demand forecasting models. Although travel demand forecasting models were designed for predicting future capacity requirements, they provide useful information needed for mobile source emissions estimates. Improvements to travel demand forecasting models to more accurately predict hot stabilized emissions are also discussed.

Language

  • English

Media Info

  • Features: Figures; References;
  • Pagination: p. 257-268

Subject/Index Terms

Filing Info

  • Accession Number: 00727028
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 2 1996 12:00AM