China Safety Science Journal ›› 2022, Vol. 32 ›› Issue (1): 65-71.doi: 10.16265/j.cnki.issn1003-3033.2022.01.009

• Safety social science and safety management • Previous Articles     Next Articles

Analysis on eye movement characteristics and behavior of drivers taking over automated vehicles

GUO Zihui1,2(), GUO Weiwei1, TAN Jiyuan1   

  1. 1Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China
    2Research Institute of Highway Ministry of Transport, Beijing 100088, China
  • Received:2021-10-14 Revised:2021-12-21 Online:2022-01-28 Published:2022-07-28

Abstract:

In order to explore visual characteristics of drivers while taking over automated vehicles, relationship between their eye movement and take-over response and manipulation behavior was analyzed, and driving simulation tests were conducted to collect driving behavior and eye movement data. Then, their visual perception characteristics in different take-over scenarios were analyzed by using statistical method, and variance law of eye movement indexes before and after TOR were explored. Finally, driving behavior was analyzed based on visual distribution and pupil change characteristics, and intrinsic relationship between eye movement features and take-over response and driving manipulation strategies was revealed. The results show that compared with static scenarios, drivers perceive elements induced from dynamic scenarios more frequently and the average fixation time is much shorter before TOR. Meanwhile, their visual distribution characteristics have a significant correlation with take-over behavior. After TOR, drivers' fixation time increases, while blinking frequency decreases, pupil diameter dilates and saccade amplitude increases. The pupil difference of drivers in different scenarios indicates that they have better vigilance level and more stable manipulation strategy when dealing with dynamic scenarios.

Key words: drivers, take-over request(TOR), automated vehicles, eye movement characteristics, driving behavior