Trajectory Analytics: Application to Traffic Signal System Performance Assessment

Since the 2000’s, researchers have been designing and examining the potential of visualizing high-resolution signal and vehicle trajectory data for the purpose of gaining better insight into traffic control system performance, along with other representative measures of effectiveness. Along with technological advancements, obtaining finer granularity data became achievable. Visualizing relevant signal performance data in an easy-to-understand format is crucial when identifying problem areas and/or causes of problems. Furthermore, visualizing of now-obtainable information needs to be accompanied by a tangible and robust performance metric. To analyze this high-quality information when assessing the quality of signal timing settings, new performance metrics are required since traditional no longer suffice the definition of state-representativeness. The proposed rate of utilization of available green time and space incorporates multiple aspects of signal performance assessment: total delay, progression speed, quality of progression, as well as the impact of oversaturation. It can be applied at an individual vehicle level, measuring how well the vehicle is utilizing time and space under specific signal control operational conditions, or any other more aggregate level. The concept utilizes vehicle-trajectory and signal phase status and duration data to ascertain the responsiveness of trajectory-based measures when different control strategies are applied. To develop and demonstrate the concept, the study uses simulation data in a format that corresponds to high resolution data - signal status and vehicle positions at a one tenth of a-second frequency.

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

    Transportation Research Board

  • Authors:
  • Conference:
  • Date: 2019


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 7p

Subject/Index Terms

Filing Info

  • Accession Number: 01698310
  • Record Type: Publication
  • Report/Paper Numbers: 19-03365
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:51AM