Modeling merging behavior at lane drops.

Details

• Creators:
  Hallmark, Shauna ; Oneyear, Nicole
• Corporate Creators:
  Iowa State University. Center for Transportation Research and Education
• Corporate Contributors:
  Smart Work Zone Deployment Initiative ; United States. Federal Highway Administration
• Subject/TRT Terms:
  • Lane drops
  • Merging traffic
  • Work zone traffic control
  • Behavior
  • Drivers
  • Traffic flow
  • Countermeasures
  • Microsimulation
  • Work zone safety
• Publication/ Report Number:
  InTrans Projects 13-466 and 06-277
• Resource Type:
  Tech Report
• Geographical Coverage:
  Iowa
• Corporate Publisher:
  Iowa State University. Institute for Transportation
• Abstract:
  In work-zone configurations where lane drops are present, merging of traffic at the taper presents an operational concern. In ; addition, as flow through the work zone is reduced, the relative traffic safety of the work zone is also reduced. Improving work-zone flow-through merge points depends on the behavior of individual drivers. By better understanding driver behavior, traffic ; control plans, work zone policies, and countermeasures can be better targeted to reinforce desirable lane closure merging ; behavior, leading to both improved safety and work-zone capacity. ; The researchers collected data for two work-zone scenarios that included lane drops with one scenario on the Interstate and the ; other on an urban arterial roadway. The researchers then modeled and calibrated these scenarios in VISSIM using real-world ; speeds, travel times, queue lengths, and merging behaviors (percentage of vehicles merging upstream and near the merge point). ; Once built and calibrated, the researchers modeled strategies for various countermeasures in the two work zones. The models ; were then used to test and evaluate how various merging strategies affect safety and operations at the merge areas in these two ; work zones
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28698/dot_28698_DS1.pdf
• File Type:
  [PDF - 1.66 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:d2d23403b13a530da5505abddf848c0f41c95144662f64645e22c69150c890ee