Use of Occupied Area for Queue and Delay Estimation at Signalized Intersections Under Mixed Traffic Conditions

Queue length and delay are the primary performance measures of signalized intersections and their accurate estimation is essential for proper management of traffic. However, measurement of queue and delay is difficult due to their spatial nature. Their measurement becomes more challenging in case of mixed traffic conditions, where vehicles of varying static and dynamic characteristics occupy the entire road space without any lane discipline. In this study, model based estimation schemes were developed for queue and delay at signalized intersection using occupied area as measurement, for two different scenarios, namely queue within detector (QWD) and queue beyond detector (QBD). Sensor errors were explicitly incorporated while using automated detectors. The evaluation showed very good performance of the proposed method, indicating the efficacy of the scheme in cases with detector errors. The developed estimation schemes can be used as part of travel time information applications in real time Intelligent Transportation System (ITS) implementations.

• Supplemental Notes:
  • This paper was sponsored by TRB committee AHB25 Standing Committee on Traffic Signal Systems.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Anusha, S P
  • Vanajakshi, Lelitha Devi
  • Subramanian, Shankar C
• Conference:
  • Transportation Research Board 96th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2017-1-8 to 2017-1-12
• Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 17p
• Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Detectors; Signalized intersections; Traffic delays; Traffic estimation; Traffic queuing; Vehicle mix
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01628110
• Record Type: Publication
• Report/Paper Numbers: 17-01522
• Files: TRIS, TRB, ATRI
• Created Date: Mar 7 2017 10:25AM