Modeling truck traffic volume growth congestion.

Harris, Gregory; Anderson, Michael; University of Alabama in Huntsville. Civil and Environmental Engineering Dept.

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Modeling truck traffic volume growth congestion.

2009-05-01
By Harris, Gregory ; Anderson, Michael

[PDF-1.01 MB]

English

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Details:

Creators:

Harris, Gregory ; Anderson, Michael

Harris, Gregory ; Anderson, Michael Less -
Corporate Creators:

University of Alabama in Huntsville. Civil and Environmental Engineering Dept.
Corporate Contributors:

University Transportation Center for Alabama
Subject/TRT Terms:

[+]

Highway Capacity Highway Traffic Traffic Congestion Truck Traffic
Publication/ Report Number:

UTCA Report 07304
Resource Type:

Tech Report
Geographical Coverage:

Alabama
Edition:

Final report; Jan. 1, 2007-October 31, 2008
Corporate Publisher:

University Transportation Center for Alabama
NTL Classification:

NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATION;NTL-HIGHWAY/ROAD TRANSPORTATION-Design;NTL-OPERATIONS AND TRAFFIC CONTROLS-Traffic Flow;NTL-OPERATIONS AND TRAFFIC CONTROLS-Congestion;
Abstract:

Modeling of the statewide transportation system is an important element in understanding issues and programming of funds to thwart potential congestion. As Alabama grows its manufacturing economy, the number of heavy vehicles traversing its highways will continue to rise, straining its already limited infrastructure. This project looks to improve existing modeling tools and develop future forecasts of roadway demand as a means to glimpse the future highway demand and identify locations where the existing level of roadway infrastructure in Alabama would be unable to handle the future demand. This involves modeling future growth scenarios and analyzing the traffic congestion arising from the scenarios. The results from this project include the identification of key congestion chokepoint locations in the existing infrastructure when facing the future demand and the creation of a modeling tool that can be used effectively to examine alternative scenarios in the future.
Format:

PDF
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:11521e6471dd804aace412a0e94c4d007841f6a8e87364e29bb432b50dcaab5c
Download URL:

https://rosap.ntl.bts.gov/view/dot/17008/dot_17008_DS1.pdf
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Modeling truck traffic volume growth congestion.

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