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

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Analyzing Driving Behavior, Road Sign Attentiveness and Recognition with Eye Tracking Data

운전자 시각행태 및 주행행태 분석기반의 결빙주의표지 개발연구

  • 이강신 (서울시립대학교 스마트시티학과) ;
  • 이동민 (서울시립대학교 교통공학&스마트시티학과) ;
  • 황순천 (서울시립대학교 교통공학과) ;
  • 권완택 (서울시 도로계획과)
  • Received : 2021.10.29
  • Accepted : 2021.11.24
  • Published : 2021.12.31
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Abstract

Due to the terrain in Korea, there are many road sections passing through mountainous areas. During the winter, there is a higher risk of traffic accidents, due to black ice caused by the lack of sunlight. Despite domestic road freezing safety measures, accidents caused by road freezing results in severe traffic accidents. Under these considerations, this study analyzed whether traffic safety signs that change in response to the external temperature help drivers recognize frozen road segments. The study was conducted through analysis of the effect of the signs on a driver's perspective. For the signs under development, out of the signs designed by experts, the sign design which received the highest visibility and effectiveness evaluation ratings from the general public was selected. The sign was implemented through Virtual Reality (VR) and installed on the right side of the road to analyze the effect on gazing and driving behavior. As a result of analyzing the driver's driving behavior, a speed reduction of about 7km/h or more was found in the sign section. Therefore, It was found that the existence of the sign had a strong relationship with the rate of the drivers' speed reduction.

우리나라는 지형 특성상 산악지역을 통과하는 도로구간이 많아 일조량에 따라 음영이 지속되는 구간이 발생하여 겨울철 도로결빙으로 인한 사고위험이 높다. 국내 도로결빙 안전대책에도 불구하고 도로결빙 사고위험은 여전히 인명피해로 연결되고 있다. 본 연구는 개발 중인 온도 감응형 교통안전 표지판이 운전자에게 결빙 주의 정보를 효과적으로 전달할 수 있는지에 대하여 주행 및 시각행태 측면에서 효과평가 실험연구를 수행하였다. 효과적인 결빙안내를 위해 개발된 다양한 표지판 시안 중 일반인 대상으로 수행된 선호도 평가 결과에서 가장 높은 시인성 및 효과성 평가를 받은 대안을 실험대상 표지판으로 선정하였다. 임의의 지방도를 VR로 구현하여 선정된 표지판이 설치된 구간에서 나타나는 피실험자의 주행행태와 시선행태 변화를 분석하였다. 분석결과, 온도 감응 후 표지판 구간에서 약 7km/h 이상의 속도감소 행태가 나타났으며, 시각행태 측면에서도 영향효과가 나타났다. 이에 개발 중인 결빙주의 표지판은 기존 표지판에 비해 운전자에게 높은 경각심을 주는 것으로 분석되었다.

Keywords

Acknowledgement

본 연구는 국토교통부/국토교통과학기술진흥원 지원으로 수행되었음 (과제번호 19POQW-B152372-01)

References

  1. Anantrasirichai N., Gilchrist I. D. and Bull D. R.(2016), "Fixation identification for low-sample-rate mobile eye trackers," 2016 IEEE International Conference on Image Processing (ICIP).
  2. Babic D., Babic D., Cajner H., Sruk A. and Fiolic M.(2020), "Effect of Road Markings and Traffic Signs Presence on Young Driver Stress Level, Eye Movement and Behaviour in Night-Time Conditions: A Driving Simulator Study," Safety, vol. 6, no. 2, 24. https://doi.org/10.3390/safety6020024
  3. De Ona J., Garach L., Calvo F. and Garcia-Munoz T.(2014), "Relationship between Predicted Speed Reduction on Horizontal Curves and Safety on Two-Lane Rural Roads in Spain," Journal of Transportation Engineering, vol. 140, no. 3, 04013015. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000624
  4. Edquist J., Horberry T., Hosking S. and Johnston I.(2011), "Effects of advertising billboards during simulated driving," Applied Ergonomics, vol. 42, no. 4, pp.619-626. https://doi.org/10.1016/j.apergo.2010.08.013
  5. Gilland J.(2008), Driving, eye-tracking and visual entropy: Exploration of age and task effects, University of South Dakota.
  6. Horberry T., Anderson J. and Regan M. A.(2006), "The possible safety benefits of enhanced road markings: A driving simulator evaluation," Transportation Research Part F: Traffic Psychology and Behaviour, vol. 9, no. 1, pp.77-87. https://doi.org/10.1016/j.trf.2005.09.002
  7. Hwang S. C., Lee D. M., Jung Y. J. and Kim J. G.(2019), "Introduction of facility combinations and experimental methods for the development of products for external stimulation-sensitive road traffic safety facilities," Korean ITS Society Academic Conference, pp.605-605.
  8. Joseph D. D. S.(2000), "Identifying Fixations and Saccades in Eye-Tracking Protocols Dario D. Salvucci Joseph H. Goldberg Nissan Cambridge Basic Research Dept. of Industrial and Manufacturing Engineering Four Cambridge Center Pennsylvania State University," In Proceedings: Eye Tracking Research & Applications Symposium 2000: Palm Gardens, Association for Computing Machinery (ACM), FL: November 6-8, p.71.
  9. Lee C., Hellinga B. and Saccomanno F.(2004), "Assessing Safety Benefits of Variable Speed Limits," Transportation Research Record: Journal of the Transportation Research Board, vol. 1897, no. 1, pp.183-190. https://doi.org/10.3141/1897-24
  10. Lee D. W. and Yeo W. W.(2008), "Measures to improve traffic safety facilities on urban highways," Korean Transportation Association, vol. 34, pp.332-341.
  11. Lee H. S.(2005), "Analyses on sunshine influence and surface freezing section of road using GIS," Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, vol. 23, no. 3, pp.293-301.
  12. Lim S., Choi J. and Oah S.(2020), "Effects of Gateway on Reducing Vehicle Speeds in School Zones," Journal of Korean Society of Transportation, vol. 38, no. 2, pp.85-96. https://doi.org/10.7470/jkst.2020.38.2.085
  13. Lu Y. and Higgins-Luthman M. J.(2008), Black ice detection and warning system, U.S. Patent Application No. 11/948,086.
  14. Ministry of Land, Infrastructure and Transport(2018), Real time visualization of road condition. Vulnerability of road networks. driving safety, Retrieved from https://scienceon.kisti.re.kr/commons/util/originalView.do?cn=TRKO201900001549&dbt=TRKO&rn=
  15. Munehiro K., Tokunaga R. A., Asano M. and Hagiwara T.(2005), "Effect of Time and Foggy Conditions on Subjective Visibility," Transportation Research Record: Journal of the Transportation Research Board, vol. 1911, no. 1, pp.85-104. https://doi.org/10.1177/0361198105191100109
  16. Park G. Y., Lee S. H., Kim E. J. and Yun B. Y.(2017), "A Case Study on Meteorological Analysis of Freezing Rain and Black Ice Formation on the Load at Winter," Journal of Environmental Science International, vol. 26, no. 7, pp.827-836. https://doi.org/10.5322/JESI.2017.26.7.827
  17. Park J. J., Seo I. K. and Park J. H.(2016), "Analysis of the effect of lane guidance lines using road driving simulators and calculation of appropriate installation length," Journal of the Korean Transportation Association, pp.238-241.
  18. Park J. S.(2018), "Analysis of the driver's gaze characteristics and advertising attitude of outdoor advertisements in free display areas," Korea Out of Home Advertising Center report 2018, pp.3-9.
  19. Peng H., Li B., He D. and Wang J.(2019), "Identification of fixations, saccades and smooth pursuits based on segmentation and clustering," Intelligent Data Analysis, vol. 23, no. 5, pp.1041-1054. https://doi.org/10.3233/ida-184184
  20. Salvucci D. D. and Liu A.(2002), "The time course of a lane change: Driver control and eye-movement behavior," Transportation Research Part F: Traffic Psychology and Behaviour, vol. 5, no. 2, pp.123-132. https://doi.org/10.1016/S1369-8478(02)00011-6
  21. Samsung Traffic Safety Research Institute(2016), Analysis of the Relationship between Regional Climate Changes and Traffic Accidents.
  22. Stavrinos D., Mosley P. R., Wittig S. M., Johnson H. D., Decker J. S., Sisiopiku V. P. and Welburn S. C.(2016), "Visual behavior differences in drivers across the lifespan: A digital billboard simulator study," Transportation Research Part F: Traffic Psychology and Behaviour, vol. 41, pp.19-28. https://doi.org/10.1016/j.trf.2016.06.001
  23. Steil J., Huang M. X. and Bulling A.(2018), "Fixation detection for head-mounted eye tracking based on visual similarity of gaze targets," Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications.
  24. Troiano A., Pasero E. and Mesin L.(2011), "Detection of ice formation over a road surface," In Proceedings of International Conference on Sensor Device Technologies and Applications (SENSORDEVICES), Nice/Saint Laurent du Var, France, August, pp.21-27.
  25. Veneri G., Piu P., Federighi P., Rosini F., Federico A. and Rufa A.(2010), "Eye fixations identification based on statistical analysis-Case study," 2010 2nd International Workshop on Cognitive Information Processing.