| Title | Analysis of Congestion Scenarios for Long Range Plans Using Travel Forecasting Models |
|---|---|
| Record ID | 80683 |
| Personal Name Creator |
Williams, Thomas A.; Pang, Hao |
| Personal Name Contributor |
Sun, Sarah |
| Corporate Creator | United States. Federal Highway Administration |
| Corporate Contributor |
Texas A&M Transportation Institute |
| Publisher | United States. Federal Highway Administration |
| Publication Date | 20171030 |
| Language | English |
| Abstract | This report describes the process of developing, analyzing, and displaying results of a scenario forecasting process using travel demand models. A Travel Time Index (TTI) is the ratio of travel time without congestion (called free flow) and congested travel times, usually during a peak period. With this common measure, planners can compare and contrast the various levels of congestion between urban areas, scenarios within urban areas, and track congestion levels over time. This report is a guide for forecasting TTI using traditional travel demand models to analyze relative impacts of various trip reduction and modification scenarios from long range planning models. The TTI is used in this context as a measure to indicate the reasonableness of asserted changes made to a trip-based travel demand model that reflect the behavioral changes that could be brought about as a result of specific congestion reduction strategies. |
| Rosap ID | dot:55806 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/55806 |
| TRT Terms | Transportation planning; Travel demand; Traffic forecasting; Traffic congestion; Traffic models |
| General Subjects | Scenario planning; Travel demand modeling; Travel forecasting; Long range transportation planning |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1787254 |
| Contract Number | DTFH61-15-C-00029 |
| Report Number | FHWA-HEP-18-030 |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/80000/80600/80683/FHWA-HEP-18-030.pdf |
| Format | |
| Database | NTL Digital Repository |