Modeling pedestrian-vehicle interaction risk based on risk perception of experienced drivers in autonomous vehicles.
An expert-guided framework to quantify pedestrian-vehicle interaction risk by learning the takeover behaviors of safety drivers in AVs is developed and validates and models interaction risk based on experienced drivers' risk perception and highlights key factors influencing human risk assessment.