Analysis of Congestion Scenarios for Long Range Plans Using Travel Forecasting Models

Williams, Thomas A.; Pang, Hao

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Analysis of Congestion Scenarios for Long Range Plans Using Travel Forecasting Models

2017-10-30
By Williams, Thomas A. ; Pang, Hao

File Language:

English

Details

Creators:

Williams, Thomas A. ; Pang, Hao
Corporate Creators:

United States. Federal Highway Administration
Contributors:

Sun, Sarah
Corporate Contributors:

Texas A&M Transportation Institute
Subject/TRT Terms:
Publication/ Report Number:

FHWA-HEP-18-030
Resource Type:

Tech Report
Geographical Coverage:

United States
Contracting Officer:

Sun, Sarah
Corporate Publisher:

United States. Federal Highway Administration
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.
Format:

PDF
Funding:

DTFH61-15-C-00029
Download URL:

https://rosap.ntl.bts.gov/view/dot/55806/dot_55806_DS1.pdf
File Type:

[PDF - 2.65 MB]
Collection(s):

Federal Highway Administration
Main Document Checksum:

urn:sha-512:c4d38ec5da2d45dfd5df6ede7e260ac988b57136c6117a0c1fd63e1ad2a5874b65d0f28045b5859f65b92bc10ed79a653c203752e5df93d9c569f4ea44682a3e

File Language:

English

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