Development and Evaluation of a Trajectory-Driven Optimization for Automated Driving (TOAD) on a Signalized Corridor with Imperfect Market Penetrations

This research presents a signal control strategy for a corridor with automated vehicles utilizing vehicular trajectory-driven optimization method (TOAD). TOAD provides an optimal trajectory for automated vehicles while maintaining safe and uninterrupted movement of general traffic, consisting of regular unequipped vehicles. Signal status parameters such as cycle length and splits are continuously captured. At the same time vehicles share their position information with the control agent. Both inputs are then used by the control algorithm to provide optimal trajectories for automated vehicles resulting in the reduction of vehicle delay along the signalized corridor with fixed-time signal control. To determine the most efficient trajectory for automated vehicles an evolutionary-based optimization is utilized. The concept was evaluated using microsimulation in PTV VISSIM. The results for selected signalized corridor in Princeton, New Jersey indicate up to 18 % reduction in overall corridor travel time depending on different market penetration and lane configuration scenario.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems.
  • Authors:
    • Gutesa, Slobodan
    • Lee, Joyoung
    • Besenski, Dejan
  • Conference:
  • Date: 2018


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 19p

Subject/Index Terms

Filing Info

  • Accession Number: 01660501
  • Record Type: Publication
  • Report/Paper Numbers: 18-03544
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 20 2018 9:29AM