한국ITS학회 논문지 (The Journal of The Korea Institute of Intelligent Transport Systems)

  • 제16권4호
  • /
  • Pages.25-35
  • /
  • 2017
  • /
  • 1738-0774(pISSN)
  • /
  • 2384-1729(eISSN)
한국ITS학회 (The Korea Institute of Intelligent Transport Systems)
권호 표지
DOI QR코드

DOI QR Code

농기계의 등화장치가 운전자의 야간시인성에 미치는 영향

Effect of Agricultural Machine Lighting systems on Drivers Night Visibility

  • 투고 : 2017.04.22
  • 심사 : 2017.08.07
  • 발행 : 2017.08.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 연구는 야간 시간대의 농기계 주행시 등화장치 장착여부에 따른 운전자의 야간시인성분석을 목표로 하였다. 야간시인성 분석을 위해 등화장치에 대한 휘도측정실험과 안구운동측정기기를 활용한 주시시간측정실험을 수행하였다. 휘도측정실험결과, 농기계와의 상대거리가 가까워지며 등화장치의 상태가 양호해질수록 휘도 값이 증가하는 것으로 나타났다. 또한, 주시시간측정실험에서는 주행속도에 상관없이 등화장치의 상태가 양호해질수록 농기계에 대한 총 주시시간이 증가하는 것으로 나타났다. 연구결과, 농기계에 등화장치를 장착할 경우 농기계에 대한 운전자의 야간 시인성이 향상되어 농기계사고의 예방에 큰 도움을 줄 수 있을 것으로 기대된다.

This study aimed to analyze a driver's night visibility, according to the installation of a lighting system for driving an agricultural machine during the night time. For the night visibility analysis, a luminance measurement test on the lighting system and a gaze duration measurement test through eye movement measurement devices were carried out. In the luminance measurement test, the increase of luminance was confirmed as relative distance from an agricultural machine was closer and the conditions of the lighting equivalence are improved. Also the gaze duration measurement test, total gaze duration from an agricultural machine increased, as the conditions of the lighting equivalence are improved. In addition, it was identified that the difference in average gaze duration from an agricultural machine was statistically significant as the agricultural machine was driven in high speed. In conclusion, when the lighting system is installed on an agricultural machine, a driver's night visibility from the agricultural machine improves, which is expected to be enormously helpful to the prevention of agricultural machine accidents.

키워드

참고문헌

  1. Bezuidenhout J. J., Ranjitkar P. and Dunn R.(2014), "Environmental distraction on traffic control infrastructure conspicuity," In Proceedings of the 13th ITS Asia Pacific Forum, pp.1-12.
  2. Do H. C.(2015), "A Study on Characteristics of Drivers Visual Behavior in Road Sections," Master's Degree, Hanbat National University.
  3. Forbes T. W.(1960), "Some factors affecting driver efficiency at night," Highway Research Board, no. 255, pp.61-71.
  4. Konstantopoulos P., Chapman P. and Crundall D.(2010), "Driver's visual attention as a function of driving experience and visibility. Using a driving simulator to explore drivers eye movements in day, night and rain driving," Accident Analysis & Prevention, vol. 42, no. 3, pp.827-834. https://doi.org/10.1016/j.aap.2009.09.022
  5. KOROAD(2016), 2015 Traffic accidents statistical analysis data.
  6. Kwon S. D., Park J. J., Nam C. K. and Ha T. J.(2012), "Analysis on Visibility of Delineators by Survey," KSCE J. of Civil Engineering D, vol. 32, no. 5D, pp.445-451.
  7. Lee D. M., Youn C. J. and Kim Y. B.(2015), "An Analysis of Driver Perception of Nighttime Visibility Using Fuzzy Set Theory," International J. of Highway Engineering, vol. 17, no. 5, pp.57-66. https://doi.org/10.7855/IJHE.2015.17.5.057
  8. Lee S. S., Kim T. H. and Son B. S.(2014), "Study on Effect of Low Visibility Condition at Nighttime on Traffic Acciden," J. of Korean ITS, vol. 13, no. 2, pp.12-26.
  9. Monsere C. M. and Fischer E. L.(2008), "Safety effects of reducing freeway illumination for energy conservation," Accident Analysis & Prevention, vol. 40, Issue 5, pp.1773-1780. https://doi.org/10.1016/j.aap.2008.06.018
  10. Murata T.(1973), "Statistical Aspect of Driver's Eye-Movement," Japan Society of Civil Engineers, vol. 1973, no. 213, pp.55-63.
  11. Rotting M., Gobel M. ande Springer J.(1999), "Automatic object identification and analysis of eye movement recordings," MMI-Interaktiv, vol. 2, pp.1-7.
  12. Sim H. J., Do M. S. and Jung K. S.(2016), "Characteristic analysis on drivers' glance durations with different running speeds on the expressway," J. of Korean ITS, vol. 15, no. 1, pp.77-86.
  13. Velichkovsky, B. M., Dornhoefer S. M., Kopf M., Helmert J. and Joos M.(2002), "Change detection and occlusion modes in road-traffic scenarios," Transportation Research Part F: Traffic Psychology and Behaviour, vol. 5, no. 2, pp.99-109. https://doi.org/10.1016/S1369-8478(02)00009-8

피인용 문헌

  1. IoT 기반의 농촌지역 농업기계 관련 교통사고 안전 시스템 설계에 관한 연구 vol.37, pp.5, 2018, https://doi.org/10.5143/jesk.2018.37.5.575
  2. 블록체인을 활용한 농업기계 등록 관리 시스템의 설계 vol.19, pp.12, 2017, https://doi.org/10.5392/jkca.2019.19.12.018