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. Dept. of Civil and Environmental Engineering ;
NEXTRANS Center (U.S.) ; University of Illinois at Urbana-Champaign. Dept. of Civil and Environmental Engineering ; Less -
Corporate Contributors:
United States. Dept. of Transportation. Research and Innovative Technology Administration ;
Subject/TRT Terms:
[+]
Intelligent Transportation Systems.
Road Work Zones--Management--Mathematical Models
Traffic Flow--Mathematical Models
Intelligent Transportation Systems
Mathematical Models
Traffic Flow
Work Zones

Publication/ Report Number:
009IY01 ;
Resource Type:
Tech Report ;
Geographical Coverage:
Indiana ;
OCLC Number:
669194351
Corporate Publisher:
NEXTRANS Center (U.S.) ;
NTL Classification:
NTL-OPERATIONS AND TRAFFIC CONTROLS-Traffic Flow ; NTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMS ;
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
File Type:

Supporting Files

• No Additional Files

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