Abstract
This research attempts to analyze the factors affecting the stop or go decision at dilemma zone and to infer its driver intent. Distance to stop line, velocity and acceleration rate are selected as the factors for the decision making. Logistic Regression Analysis (LRA) is then employed to investigate how they contribute to the driver decision whether drivers stop or pass the intersection. The drivers’ intent is finally inferred through the LRA and the performance of the estimator was evaluated by Receiver Operation Characteristics (ROC) curve. Numerical analyses showed that the velocity influences the stop intent most among three factors, and the LRA was succeeded in inferring the drivers’ intent accurately at most one second after the amber onset.
