Effects of a Background Arrangement on Collision-Prediction Accuracy for Approaching Objects

  • Yohsuke YoshiokaEmail author
  • Hinako Tanaka
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1212)


This study implemented virtual environment technology to examine how the spacing and height characteristics of a column-type background arrangement affected collision-prediction accuracy for an approaching object set in vast virtual space. Participants were divided into two groups for testing, including the “safety-oriented type” and “accurate judgment type.” Results showed that participants in the safety-oriented type group tended to make collision/non-collision judgments at earlier stages, when columns were higher and more narrow. On the other hand, subjects in the “accurate judgment type” group tended to make accurate collision judgements at later stages (i.e., as column spacing increased).


Human factors Collision prediction Visual information Virtual environment technology 



This research was supported by JSPS KAKENHI Grant Number JP17H03359.


  1. 1.
    Nishimura, T.: A study on effects of the horizontal distance between two masthead lights on lookout by other vessels - a case of collision between guided missile destroyer “Atago” and fishing boat “Seitokumaru” –. J. Jpn. Inst. Navig. 131, 33–39 (2014)CrossRefGoogle Scholar
  2. 2.
    Inoue, K.: Safety criteria for the passing distance to achieve between high speed and conventional craft. J. Jpn. Inst. Navig. 86, 1–10 (1992)CrossRefGoogle Scholar
  3. 3.
    Toyoda, K., Iwai, N., Oyama, S.: A study of peripheral visual field characteristics at good prospect intersection. IEEJ Trans. Electron. Inf. Syst. 131(12), 2148–2153 (2011)Google Scholar
  4. 4.
    Saunier, N., Sayed, T., Lim, C.: Probabilistic collision prediction for vision-based automated road safety analysis. In: 2007 IEEE Intelligent Transportation Systems Conference, Seattle, WA, pp. 872–878 (2007)Google Scholar
  5. 5.
    Berthelon, C., Mestre, D.: Curvilinear approach to an intersection and visual detection of a collision. Hum. Factors 35, 521–534 (1993)CrossRefGoogle Scholar
  6. 6.
    Charlton, S.G.: Restricting intersection visibility to reduce approach speeds. Accid. Anal. Prev. 35, 817–823 (2003)CrossRefGoogle Scholar

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Chiba UniversityChiba CityJapan

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