title: Drivers' Visual Characteristics when Merging onto or Exiting an Urban Expressway.
abstract: The aim of this study is to examine drivers' visual and driving behavior while merging onto or exiting an urban expressway with low and high traffic densities. The analysis was conducted according to three periods (approaching, merging or exiting, and accelerating or decelerating). A total of 10 subjects (8 males and 2 females) with ages ranging from 25 to 52 years old (M = 30.0 years old) participated in the study. The research was conducted in a natural driving situation, and the drivers' eye movements were monitored and recorded using an eye tracking system. The results show that the influence of traffic density on the glance duration and scan duration is more significant when merging than when exiting. The results also demonstrate that the number of glances and the mean glance duration are mainly related to the driving task (e.g., the merging period). Therefore, drivers' visual search strategies mainly depend on the current driving task. With regard to driving behavior, the variation tendencies of the duration and the velocity of each period are similar. These results support building an automated driving assistant system that can automatically identify gaps and accelerate or decelerate the car accordingly or provide suggestions to the driver to do so.
authors.affiliation: School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China.|School of Automotive & Transportation, Tianjin University of Technology & Education, Tianjin, China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Cheng
authors.affiliation: School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China.
authors.forename: Li
authors.initials: L
authors.lastname: Gao
authors.affiliation: School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China.
authors.forename: Yanan
authors.initials: Y
authors.lastname: Zhao
authors.affiliation: School of Automotive & Transportation, Tianjin University of Technology & Education, Tianjin, China.
authors.forename: Feng
authors.initials: F
authors.lastname: Du