Dynamic Estimation of Queue Length at Signalized Intersections Using GPS Trajectory Data

The estimation of queue length at a signalized intersection, while enormously valuable in traffic operation and management, presents a number of challenges to transportation. One area where traffic optimization and analysis is lacking is the ability to dynamically estimate queue length at intersections where only limited GPS trajectory data were recorded and saved. To solve this challenge, an integer-programming model was proposed to estimate queue length and guarantee the consistent reconstruction of shockwave propagation. The model was further evaluated by comparing the estimated queue length with observed queue length in every signal period based on simulation data. The evaluation results not only demonstrate that the proposed model can estimate queue length, but also indicates the required penetration rate of floating vehicles.

• Record URL:
  https://doi.org/10.1061/9780784482292.231
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784482292
• Supplemental Notes:
  • © 2019 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Guo, Mengdi
  • Wang, Dingyuan
  • Fu, Daocheng
  • Yan, Haoyang
  • Zhang, Zhao
• Conference:
  • 19th COTA International Conference of Transportation Professionals
  • Location: Nanjing , China
  • Date: 2019-7-6 to 2019-7-8
• Publication Date: 2019-7

Language

• English

Media Info

• Media Type: Web
• Monograph Title: CICTP 2019: Transportation in China—Connecting the World

Subject/Index Terms

• TRT Terms: Global Positioning System; Mathematical models; Queuing; Real time information; Signalized intersections; Stopped time delays; Traffic data; Vehicle trajectories
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01712941
• Record Type: Publication
• ISBN: 9780784482292
• Files: TRIS, ASCE
• Created Date: Jul 29 2019 12:29PM