Project

The fundamental aim of DCBIN is to obtain and apply naturalistic, on-road and test track data to define the comfort zone boundaries for drivers passing through intersections at times when LTAP encroachment might occur. By observing invariant driver behavior and documenting the factors that trigger within-driver variability, we aim to define the driver’s contextually-sensitive comfort zone boundaries. Definition of these boundaries and the dynamic factors that influence them will inform the design of adaptive ADAS systems for intersections.