Daniel B. Fambro Student Paper Award: Modeling Dynamic Dilemma Zones Using Observed Yellow-Onset Trajectories

摘要

The ITE 2009 Daniel B. Fambro Student Paper presents a novel approach of modeling and measuring the dynamic dilemma zones. It identifies the varying values of the contributing factors under different approach speeds by using the observed vehicle trajectory data. A case study was conducted at a high speed intersection in Fairfield, Ohio, USA Time-based yellow-onset trajectories were obtained using video-capture-based techniques and were then used to calibrate the dynamic dilemma zone model. Two alternative sets of ground-truth data with focuses on different levels of driving aggressiveness were established for the model calibration. The calibrated dilemma zone models well reflect the real-world dynamic driving behaviors by having varying values of the contributing factors.