Estimating Queue Size from Single Loop Detector Data

This paper proposes a new logistic regression model to predict a vehicle's queue/platoon state based on data that can be collected from a single loop detector positioned at the stop line of signalised intersections. The study focuses on estimating the queue length at the end of each cycle by predicting whether a vehicle was queued or platooned prior to passing over the detector. Different model forms were explored using data from an enhanced NGSIM dataset. These data were filtered to mimic data from a stop line detector loop. The best four models from 20 resulted in an accuracy ranging from 83% to 95% of correctly predicting a discharging vehicle's queue/platoon state, during the preceding red phase. When combined with a logical filter to group sequential vehicles, it will enable a traffic controller to estimate the most likely queue length. The queue predictor model will form part of a new offset algorithm under development.

• Availability:
  • Find a library where document is available. Order URL: http://www.its-jp.org/english/congress_e/
• Supplemental Notes:
  • Abstract used with permission of ITS Japan. Paper No. 4180.
• Corporate Authors:

  ITS Japan

  Tokyo,   Japan 
• Authors:
  • Bezuidenhout, Johannes Jurgens
  • Ranjitkar, Prakash
  • Dunn, Roger
• Conference:
  • 20th ITS World Congress
  • Location: Tokyo , Japan
  • Date: 2013-10-14 to 2013-10-18
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References; Tables;
• Pagination: 10p
• Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

• TRT Terms: Data collection; Logistic regression analysis; Loop detectors; Signalized intersections; Traffic flow; Traffic platooning; Traffic queuing; Traffic signal control systems
• Identifier Terms: Sydney Coordinated Adaptive Traffic System
• Geographic Terms: Atlanta (Georgia)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01535474
• Record Type: Publication
• ISBN: 9784990493981
• Files: TRIS
• Created Date: Aug 27 2014 10:47AM