Traffic flow characteristic and capacity in intelligent work zones.

Details

• Creators:
  Benekohal, Rahim F ; Avrenli, Kivanc ; Ramezani, Hani
• Corporate Creators:
  NEXTRANS Center (U.S.) ; University of Illinois at Urbana-Champaign. Department of Civil and Environmental Engineering
• Corporate Contributors:
  United States. Department of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Work zones
  • Traffic flow
  • Intelligent transportation systems
  • Mathematical models
  • Road work zones--Management--Mathematical models
  • Traffic flow--Mathematical models
  • Intelligent transportation systems.
• 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.
  More +
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/17345/dot_17345_DS1.pdf
• File Type:
  [PDF - 485.67 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:74782d281ca1bdfd6339978274725e0fdad2f1117f0e22e9581f33024544bd34