Traffic flow characteristic and capacity in intelligent work zones.

Benekohal, Rahim F; Avrenli, Kivanc; Ramezani, Hani; NEXTRANS Center (U.S.); University of Illinois at Urbana-Champaign. Department of Civil and Environmental Engineering

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

i

Traffic flow characteristic and capacity in intelligent work zones.

2009-10-15
By Benekohal, Rahim F ; Avrenli, Kivanc ; Ramezani, Hani

[PDF-485.67 KB]

English

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Details:

Creators:

Benekohal, Rahim F ; Avrenli, Kivanc ; Ramezani, Hani

Benekohal, Rahim F ; Avrenli, Kivanc ; Ramezani, Hani Less -
Corporate Creators:

NEXTRANS Center (U.S.) ; University of Illinois at Urbana-Champaign. Department of Civil and Environmental Engineering

NEXTRANS Center (U.S.) ; University of Illinois at Urbana-Champaign. Department of Civil and Environmental Engineering Less -
Corporate Contributors:

United States. Department of Transportation. Research and Innovative Technology Administration
Subject/TRT Terms:

[+]

Intelligent Transportation Systems Intelligent Transportation Systems. Mathematical Models Road Work Zones--Management--Mathematical Models Traffic Flow Traffic Flow--Mathematical Models Work Zones
Publication/ Report Number:

009IY01
Resource Type:

Tech Report
Geographical Coverage:

Indiana
Corporate Publisher:

NEXTRANS Center (U.S.)
Abstract:

Intellgent transportation system (ITS) technologies are utilized to manage traffic flow and safety in

highway work zones. Traffic management plans for work zones require queuing analyses to determine

the anticipated traffic backups, but the predictions are often inaccurate mainly because of lack of

understanding of traffic flow characteristics in WZ. The current procedures for determining speed and

capacity are inadequate and don’t consider the fundamental effects of ITS technologies in traffic flow

and drivers behavior. This study will address of traffic flow characteristics in Intelligent WZ and will

determine methods for computing work zone capacity. Accurate determination of work zone capcity is

very important because it significantly affects the speed and user's cost computations. Various ITS

applications are implemented in the US (such as speed photo enforcement (SPE), dynamic lane

management, variable speed control, travel time information display, dynamic rerouting, etc), but a

major study to determine how traffic flow characteristics are affected in these intelligent WZ has not

been conducted. This study investigated the fundamental relationship among traffic flow variables in a

WZ where ITS was implemented for mainly as a speed control measure. A theoretical relationship was

developed using field data collected in work zones.
Format:

PDF
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:74782d281ca1bdfd6339978274725e0fdad2f1117f0e22e9581f33024544bd34
Download URL:

https://rosap.ntl.bts.gov/view/dot/17345/dot_17345_DS1.pdf
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Traffic flow characteristic and capacity in intelligent work zones.

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