Spillover Detection for Urban Traffic Networks Using Signal Timing and Stop Line Detector Data

A spillover detection method for urban traffic networks is proposed using only signal timing and stop line detector data. The method uses measurements from a local detector, with data from downstream intersections used for validation. A new measure, termed a spillover index, is introduced that denotes the reduced traffic flow for each signal cycle caused by spillovers. The spillover index is compared with a predefined threshold to detect spillovers. The proposed method is tested and validated on a small simulated network and a busy arterial road in the city of Dublin, which is controlled by the SCATS adaptive traffic signal control system. The evolution of spillovers on an arterial road is studied using a Markov Chain process. Field data are used to determine the transition probabilities among all possible spillover states. A sensitivity analysis is performed to study the detection accuracy.

  • 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:
    • Wang, Ren
    • Nair, Rahul
    • Pascale, Alessandra
    • Work, Daniel
  • Conference:
  • Date: 2017

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 16p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01628724
  • Record Type: Publication
  • Report/Paper Numbers: 17-04213
  • Files: TRIS, TRB, ATRI
  • Created Date: Mar 10 2017 9:21AM