Quantifying travel time variability in transportation networks.

Details

• Creators:
  Boyles, Stephen D. ; Voruganti, Avinash ; Waller, S. Travis
• Corporate Creators:
  University of Texas at Austin. Center for Transportation Research
• Corporate Contributors:
  Southwest Region University Transportation Center (U.S.)
• Subject/TRT Terms:
  • Travel time
  • Regression analysis
  • Travel demand Travel time (Traffic engineering)--Forecasting
  • Traffic congestion--Management
• Publication/ Report Number:
  SWUTC/10/167275-1
• Resource Type:
  Tech Report
• Geographical Coverage:
  Texas
• Corporate Publisher:
  Southwest Region University Transportation Center (U.S.)
• Abstract:
  Nonrecurring congestion creates significant delay on freeways in urban areas, lending importance ; to the study of facility reliability. In locations where traffic detectors record and archive data, ; approximate probability distributions for travel speed or other quantities of interest can be ; determined from historical data; however, the coverage of detectors is not always complete, and ; many regions have not deployed such infrastructure. This report describes procedures for ; estimating such distributions in the absence of this data, considering both supply-side factors ; (reductions in capacity due to events such as incidents or poor weather) and demand-side factors ; (such as daily variation in travel activity). Two demonstrations are provided: using data from the ; Dallas metropolitan area, probability distributions fitting observed speed data are identified, and ; regression models developed for estimating their parameters. Using data from the Seattle ; metropolitan area, the appropriate capacity reduction applied to planning delay functions in the ; case of an incident is identified.
  More +
• Format:
  PDF
• Funding:
  10727
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/18086/dot_18086_DS1.pdf
• File Type:
  [PDF - 893.25 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:b2457b694d46a951b1d4805d2d0c38be9de04c41feb519ef03f68cc96b42f69bb0cc22c9d7368961e4df9d8ce43d7bab5edbfe0369d8542128e2784569204a70