• Title/Summary/Keyword: anti-drowsy driving

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Plastic Optical Fiber Sensor for an Anti-Drowsy Driving (운전자 졸음 방지용 플라스틱 광섬유 센서)

  • Eom, Won-Dae;Yeo, Sang-Du;Park, Jae-Hee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.7 no.6
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    • pp.133-139
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    • 2008
  • In this paper, the feasibility for producing a plastic optical fiber sensor to be used as an anti-drowsy driving sensor is discussed. This sensor consists of a plastic optical fiber wound on the steering wheel covered by soft material. When a driver hold a steering wheel, the gripping force is induced and causes to the bend of the plastic optical fiber which decreases the power of light propagated inside the plastic fiber. The experimental results show that the detected optical power decrease as the gripping force increase and that this sensor can be used as the anti-drowsy driving sensor.

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The Statistical Correlation Between Continuous Driving Time and Drowsy Accidents (연속주행시간과 졸음사고간 통계적 상관관계 분석)

  • KIM, Ducknyung;KIM, Sujin;CHOI, Jaeheon;CHO, Jongseok
    • Journal of Korean Society of Transportation
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    • v.35 no.5
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    • pp.423-433
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    • 2017
  • During recent 5 years, it was recorded that 20% of total accident frequency and 30% of total number of death have been occurred due to drowsy driving. Drowsy driving accident is result from the loss of driving ability due to driver's accumulated fatigue. Continuous driving time can be measured as a surrogate variable to quantify the level of fatigue. The main purpose of this research is to investigate statistical correlation between the proportion of continuous driving vehicle (more than 2 hours) and the number of drowsy accidents. To carry this out, continuous driving time was measured using GPS route-guidance trajectory data. Also, accident frequency, traffic volume and segment length were collected to estimate safety performance function (SPF) for Jungbunearuk expressway in Korea. Through various types of estimated SPFs, statistical correlation was analyzed based on estimated statistical indices. This research can provide theoretical background for enforcement to regulate commercial vehicle driver's continuous driving time. In addition, throughout the trajectory data expansion, it is expected that strategy for anti-drowsy driving facilities installation can be established based on the suggested methodology.