| Title | Travel Model Speed Estimation and Post Processing Methods for Air Quality Analysis |
|---|---|
| Record ID | 20869 |
| Corporate Creator | Travel Model Improvement Program (U.S.); Dowling Associates |
| Corporate Contributor |
United States. Department of Transportation. Technology Sharing Division ; United States. Federal Highway Administration; United States. Department of Transportation. Federal Transit Administration; United States. Environmental Protection Agency |
| Publisher | Travel Model Improvement Program (U.S.) |
| Publication Date | 19971000 |
| Language | English |
| Abstract | Transportation planners have relatively sophisticated computer models available for forecasting travel demand and air quality, however the weak point in the process is the interface between the demand forecasting and the pollutant emission models. This report suggests various short term improvements that might be made to the speed estimation routines contained in travel demand models, and suggest various post-processor routines that can be used to further improve model speed estimates. Since the capabilities and resources of metropolitan planning organizations vary within the United States, no single set of methods is recommended. However, several promising methods for improving the estimation of speed and operating modes are described for planning agencies. |
| Rosap ID | dot:40709 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/40709 |
| TRT Terms | Traffic forecasting; Exhaust gases; Modal split; Speed; Traffic estimation; Traffic flow; Traffic; Traffic volume; Traffic models; Travel demand; Travel patterns; Air pollution |
| General Subjects | Transportation models; Travel modes; Vehicle air pollution; Vehicle usage; Travel Model Improvement Program |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
754920 |
| Report Number | DOT-T-98-5 |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/20000/20800/20869/PB98155658.pdf |
| Format | |
| Database | NTL Digital Repository |