Identifying the Effects of Visual Searching by Railway Drivers upon the Recognition of Extraordinary Events

  • Daisuke SuzukiEmail author
  • Kana Yamauchi
  • Satoru Matsuura
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 823)


The purpose of this study is to investigate effective visual-searching behaviours for recognising extraordinary events based on the eye movements of railway drivers. 121 railway-company drivers participated in our study using a driving simulator. An eye tracker equipped with the simulator measured the drivers’ eye movements. The given driving scenario was a multi-task scenario in which the main task was to stop the simulated train before a ground-device malfunction. The important sub-task was to recognise an extraordinary event, in this case, the subsidence of a railway track to their right. Participants who braked before passing the subsidence were identified as part of the recognising group; those who did not brake until after passing the subsidence were identified as part of the non-recognising group. Logistic-regression analysis was conducted, with the driver’s group as the objective variable. The explanatory variables were the means and standard deviations of gaze duration and horizontal and vertical visual angles, as well as the driver’s age and duration of driving experience. The variables used to improve the possibility of recognising subsidence were the standard deviation of the gaze duration, the means of the horizontal and vertical visual angles and the driver’s age. The standard deviation of the gaze duration had the largest influence among these four variables.


Visual searching Railway driver Recognition Extraordinary event 


  1. 1.
    Endoh H, Omino K (2013) Practical system for implementing vocational training program for improving train driver skills for coping with abnormal situations. Q Rep RTRI 54:237–242CrossRefGoogle Scholar
  2. 2.
    Groeger JA, Bradshaw MF, Everatt J, Merat N, Field D (2003) Pilot study of train drivers’ eye-movements. University of Survey Technical Report for Rail Safety and Standards Board, LondonGoogle Scholar
  3. 3.
    Luke T, Brook-Carter N, Parkes AM, Grimes E, Mills A (2006) An investigation of train driver visual strategies. Cogn Technol Work 8:15–29CrossRefGoogle Scholar
  4. 4.
    Naweed A, Balakrishnan G (2014) Understanding the visual skills and strategies of train drivers in the urban rail environment. Work 47:339–352Google Scholar
  5. 5.
    Mourant RR, Rockwell TH (1972) Strategies of visual search by novice and experienced drivers. Hum Factors 14:325–335CrossRefGoogle Scholar
  6. 6.
    Underwood G, Chapman P, Brocklehurst N, Underwood J, Crundall D (2003) Visual attention while driving: sequences of eye fixations made by experienced and novice drivers. Ergonomics 46:629–646CrossRefGoogle Scholar
  7. 7.
    Konstantopoulos P, Chapman P, Crundall D (2010) Driver’s visual attention as a function of driving experience and visibility. Accid Anal Prev 42:827–834CrossRefGoogle Scholar
  8. 8.
    Netter J, Wasserman W, Kutner MH (1983) Multicollinearity, influential observations, and other topics in regression analysis-II. In: Applied linear regression models. Richard D Irwin Inc., Homewood, pp 377–416Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Railway Technical Research InstituteKokubunji-shiJapan
  2. 2.Hokkaido Railway CompanySapporoJapan

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