Feasibility of Lane Closures Using Probe Data

Details

• Creators:
  Chien, Steven I-Jy ; Spasovic, Lazar N. ; Lee, Joyoung ; Mouskos, Kyriacos C.{10757} ; Du, Bo
• Corporate Creators:
  New Jersey Institute of Technology. Department of Civil & Environmental Engineering
• Contributors:
  Venkiteela, Giri
• Corporate Contributors:
  New Jersey Department of Transportation ; United States. Federal Highway Administration
• Subject/TRT Terms:
  • Lane closure
  • Data analysis
  • Neural networks
  • Artificial intelligence
  • Regression analysis
  • Work zones
  • Highway maintenance
  • Work zone traffic control Work zone
  • delay
  • speed
  More +
• Publication/ Report Number:
  FHWA-NJ-2017-005
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States;New Jersey
• Edition:
  Final report
• Corporate Publisher:
  New Jersey. Dept. of Transportation
• Abstract:
  To develop an adequate traffic operations management and congestion mitigation plan for every roadway maintenance and construction project requiring lane closures, transportation agencies need accurate and reliable estimates of traffic impacts associated with pertinent maintenance and construction projects, and the corresponding roadway capacity reductions. The current analytical model used by most agencies for this purpose is based on traditional volume/capacity formulae and deterministic traffic queuing modeling method. NJDOT recognizes the shortcomings of these methods that often result in inaccurate estimates of the impact of lane closures in terms of vehicle delays and the associated costs. These estimates may be significantly improved by utilizing the probe-vehicle data. The objective of this research project is to develop a methodology for integrating probe-vehicle data into the traffic impact analysis model, and to develop a user-friendly software tool that would implement the calculation methodology.
• Format:
  PDF
• Funding:
  NJDOT 2011-01
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32154/dot_32154_DS1.pdf
• File Type:
  [PDF - 6.01 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:4f04e69839f4dc50c7d6eeff60f749c7f1da270d1e8137a5fa321686c967f2989d6922b546072fb33e0921467ba7a018c59061d4811d8d6ef0a2aa7adf7869b3