Observing Space-time Queueing Dynamics at a Signalized Intersection using Connected Vehicles as Mobile Sensors

The existing efforts on study queueing dynamics at signalized intersections mainly focus on the estimation of queue length, queue location or queue time using fixed sensor data or mobile sensor data. Methods using fixed sensor data are limited due to the low coverage of fixed detectors. Mobile sensor data such as mobile phone data only contains vehicle locations. None of the data contains high-resolution (i.e. 0.1 second) driving details nor signal timing information at signalized intersections. Considering the availability of high-frequency connected vehicle data, this paper develops an integrated macroscopic and microscopic traffic flow theory based approach to observing queueing dynamics at signalized intersections using connected vehicles as mobile sensors, e.g. V2I driving records and I2V signal phase and timing (SPaT) information from the high-resolution connected vehicle dataset. Different to the tradition works on queueing dynamics that mainly focus on queue length estimation based on macroscopic traffic flow model, the proposed integrated approach observes space-time queueing dynamics within three regions – queue formation region, queue region, and queue dissipation region with corresponding vehicle microscopic behavior of deceleration, stop, and acceleration. The authors examine the proposed approach using real world connected vehicle data that contains signal phase and timing and real driving records at a signalized intersection in Ann Arbor, Michigan under both normal and oversaturated conditions.

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• Supplemental Notes:
  • This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Zhao, Shuaidong
  • Zhang, Kuilin
• 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;
• Pagination: 17p
• Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Driver records; Mobile communication systems; Queuing; Sensors; Signalized intersections; Traffic flow theory; Traffic signal phases; Traffic signal timing
• Geographic Terms: Ann Arbor (Michigan)
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01628769
• Record Type: Publication
• Report/Paper Numbers: 17-04707
• Files: PRP, TRIS, TRB, ATRI
• Created Date: Mar 13 2017 9:12AM