Examining collision avoidance behavior of distracted drivers: A correlated grouped random parameters accelerated failure time model with heterogeneity-in-means

Abstract

• Examined drivers’ collision avoidance behavior for different distraction conditions. • Modeled collision avoidance behavior using a correlated grouped random parameter hazard-based duration model. • Cognitively distracted drivers exhibit quicker response times than manually distracted drivers. • Most distracted drivers spent less time decelerating than in normal driving conditions. • Female drivers spent a shorter collision avoidance time than male drivers. Current research mostly studied the driving behavior of distracted drivers in abrupt situations, but different types of distraction may lead to differential crash risks, particularly during collision avoidance, which has been overlooked in the literature. As such, this study investigated and compared drivers’ collision avoidance performance under different distraction conditions. Forty-four licensed drivers completed driving simulation experiments under normal driving, cognitive distraction, and manual distraction conditions. To comprehend the collision avoidance behavior under different distraction conditions, this study analyzed hazard response time, deceleration time, and collision avoidance time—critical components in avoiding secondary collisions. For these performance measures, correlated grouped random parameters accelerated failure time models were developed, considering repeated experiment design and unobserved heterogeneity. Results indicate that drivers in manual distraction took more time to respond during the hazard response phase compared to cognitive distraction. The majority of distracted drivers were observed to spend less time decelerating and avoiding collisions than in normal driving conditions, indicating a risk compensation behavior. Further, this study found that gender was associated with differential increase in collision avoidance time, with male drivers having longer collision avoidance time under manual distraction than female drivers and female drivers having longer collision avoidance time under cognitive distraction than male drivers. Overall, this study provides insights into collision avoidance behavior and aids in developing automated collision avoidance assistance systems.

Topics & Concepts