Prediction of Transit Vehicle Arrival Time for Signal Priority Control: Algorithm and Performance

In this paper, the authors describe the development of an algorithm designed to predict the arrival times of a transit vehicle at signalized intersections. The objective is to meet the accuracy requirement associated with transit signal priority (TSP) control applications. The algorithm uses historical and real-time Global Positioning System (GPS) vehicle location data. The arrival time prediction is presented as an optimal a posteriori parameter estimation problem, in which the model consists of a historical model and an adaptive model. Simulation results from field tests demonstrate the performance of the solution.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Authors:
  • Tan, Chin-Woo
  • Park, Sungsu
  • Liu, Hongchao
  • Xu, Qing
  • Lau, Peter
• Publication Date: 2008-12

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References;
• Pagination: pp 688-696
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 9
  • Issue Number: 4
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Adaptive control; Algorithms; Bus transit; Global Positioning System; Mathematical prediction; Signalized intersections; Traffic signal preemption
• Subject Areas: Operations and Traffic Management; Public Transportation; I70: Traffic and Transport;

Filing Info

• Accession Number: 01125487
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: BTRIS, TRIS
• Created Date: Mar 30 2009 1:36PM