A Method for Estimating Trajectories of Turning Vehicles at Signalized Intersections

This paper presents a novel modeling approach for estimating trajectories (i.e., paths, speed, and acceleration profiles) of left and right turning vehicles at signalized intersections. The modeling method is based on the minimum jerk concept which has initially been applied in neuroscience and robotics domains. The suitability of the modeling concept is first justified by comparing the individual trajectories obtained as the model outputs with empirical trajectories for the same boundary conditions collected based on video observations at several signalized intersections in Nagoya city, Japan. How the modeling framework can be applied to estimate trajectories at an intersection with known geometrical characteristics and for given boundary conditions is then discussed. A sensitivity analysis is also conducted to verify the effect of interaction geometry, entry/exit speeds on estimated trajectories. The modeling framework presented in this study could be useful in numerous applications where accurate information regarding trajectories of turning vehicles are required. E.g., for accurately estimating intersection safety using surrogate safety measures as well as using microscopic simulation based safety estimation tools, for realistically visualizing turning vehicles in virtual reality and driving simulator applications, for trajectory planning of autonomous vehicles, and for accurately estimating clearance times of turning vehicles at signalized intersections.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems.
  • Corporate Authors:

    Transportation Research Board

  • Authors:
    • Dias, Charitha
    • Iryo-Asano, Miho
    • Abdullah, Muhammad
    • Oguchi, Takashi
  • Conference:
  • Date: 2019


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 17p

Subject/Index Terms

Filing Info

  • Accession Number: 01698359
  • Record Type: Publication
  • Report/Paper Numbers: 19-01855
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:53AM