• Title/Summary/Keyword: Drunk Driving

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Drowsy Driving and Traffic Accidents (졸음운전과 교통사고)

  • Lee, Sang-Haak
    • Sleep Medicine and Psychophysiology
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    • v.10 no.2
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    • pp.84-87
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    • 2003
  • Drowsy driving is a major cause of automobile crashes and can lead to more serious injuries than other causes of traffic accidents. Factors increasing the risk of drowsy driving and related crashes include sleep loss, late night driving, untreated or unrecognized sleep disorders, use of sedating medications and consumption of alcohol. Young people, especially young males, shift workers, and people with untreated sleep apnea syndrome and narcolepsy are well known as the population groups at highest risk. To prevent drowsy driving and its consequences, getting adequate and quality sleep is both easier and much more successful than any remedial measure. Other helpful behaviors include avoidance of alcoholic beverages and limiting late night driving. Taking a short nap or consuming caffeine can make a short-term difference in driving alertness. In addition, information should be actively provided to the public about the importance of sleep disorders and their consequences. To reduce injuries and death caused by drowsy driving, it is a prerequisite to increase public awareness that drowsy driving can cause serious automobile crashes and has morbidity and mortality rates as high as those of drunk driving.

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Driving Behaviors of the Korean People: A Cultural Psychological Perspective (한국사회의 교통문화)

  • Sang-Chin Choi;Cheong-Yeul Park;Jeong-In Kim;Young-Mi Sohn
    • Korean Journal of Culture and Social Issue
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    • v.9 no.spc
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    • pp.15-34
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    • 2003
  • The present authors had conducted several researches(parking violation, traffic signal violation, speed violation, drunk-driving) on driving behaviors of the Korean people focused on cultural psychological perspective. This paper was designed to summarize these previous results. Although each research had dealt with different violation behaviors on driving, there were lots of similarities on the basis of violation. The results reveal the following rationale for incurring violation behaviors. First, most people reported that they violated the rule to pursuit short-term benefit. Second, the violators' psychological characteristics are described in terms of self-centered and self-justification. In addition, the respondents have justified their violated behaviors since the outcome is disadvantageous for the drivers. Furthermore, the violators' are found to possess a permissive attitude toward the other violators'. Finally, the implications of these studies were proposed. All of these findings were discussed in relation to the Korean culture.

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Development of Smart-Car Safety Management System Focused on Drunk Driving Control (음주제어를 중심으로 한 스마트 자동차 안전 관리 시스템 개발)

  • Lee, Se-Hwan;Cho, Dong-Uk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.7C
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    • pp.565-575
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    • 2012
  • In the modern everyday life, cars the largest proportion of smart features that require mounting in a variety of smart devices and smart methods on have been developed. In this paper, the smart car among the main core of the safety management system optional for the control of drinking and drowsiness, as part of system development, will be drinking if you start your car automatically is to develop a system to avoid driving. For this, through image processing to analyze the driver's seat of the driver's facial color how to determine whether or not drinking alcohol is proposed. In particular, the system developed in this paper determines whether or not drinking alcohol before the face images without the need for alcohol after only a unique color change of the face appears to target only way to determine whether drinking and actual alcohol control center of a smart car safety control management system can be applied effectively. The experiment was done in 30 patients after drinking appears face color changes of them. We also perform an analysis on the statistical significance of the experimental results to verify the effectiveness of the proposed method.

Drowsiness Driving Prevention System using Bone Conduction Device

  • Hahm, SangWoo;Park, Hyungwoo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.9
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    • pp.4518-4540
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    • 2019
  • With the development of IT convergence technology, autonomous driving has gradually developed; however, the vehicle is still operated by the driver, who should always be in good health - but sometimes, this is not the case. It is especially dangerous to drive when drowsy, and unable to fully concentrate on driving, such as when taking certain medicines, or through fatigue. Drowsy driving is at least eight times more dangerous than normal driving, and as dangerous as drunk driving. Previous research has looked at technology to detect drowsiness, in order to wake up drivers when necessary, or to safely stop the vehicle. Furthermore, many studies have been conducted to find out when drowsiness occurs. However, it is more desirable for the driver to take sufficient rest during a break, in order to be able to continue to focus and drive. In other words, it is important to maintain a normal state before drowsiness. In this study, we introduce a sound source to increase driver concentration and prevent drowsiness, another that can improve the quality of sleep, and a system that produces these sound sources. The proposed system has a noise reduction effect of about 15 dB. We have confirmed that the proposed sound induces an EEG of the desired form.

Detection of Unsafe Zigzag Driving Maneuvers using a Gyro Sensor (자이로센서를 이용한 사행운전 검지 및 경고정보 제공 알고리즘 개발)

  • Rim, Hee-Sub;Jeong, Eun-Bi;Oh, Cheol;Kang, Kyeong-Pyo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.10 no.2
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    • pp.42-54
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    • 2011
  • This study presented an algorithm to detect zigzag driving maneuver that is highly associated with vehicle crash occurrence. In general, the zigzag driving results from the driver's inattention including drowsy driving and driving while intoxicated. Therefore, the technology to detect such unsafe driving maneuver will provide us with a valuable opportunity to prevent crash in the road. The proposed detection algorithm used angular velocity data obtained from a gyro sensor. Performance evaluations of the algorithm presented promising results for the actual implementation in practice. The outcome of this study can be used as novel information contents under the ubiquitous transportation systems environment.

The Factors Affecting Bicycle Riding Under the Influence in Korean Adults: The Korea National Health and Nutrition Examination Survey

  • Lee, Sang Min
    • International Journal of Contents
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    • v.16 no.1
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    • pp.34-43
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    • 2020
  • This study was conducted to identify the impact factors of bicycle driving under the influence (DUI) among Korean adults. The participants were 1,297 Korean adults. The prevalence of bicycle DUI was 11.7% of Korea adults. The factors affecting bicycle DUI were gender, education level, frequency of drinking, one-time drinking, vehicle DUI. To prevent bicycle DUI, we would need to facilitate appropriate drinking habits, provide treatments for disorders related to alcohol use, and change the social perception of bicycle DUI. Also, we should promote the establishment of the culture of bicycle helmet use, the establishment of a system that imposes fine to non-helmet-using riders, and education and publicity on the national level to recognize that bicycle DUI and DUI are mutually related.

A Study on Preparing Measures for Reducing Aggressive Driving and Road Rage by Analysing Mechanism of How the Driving Behavior Determinants and Dangerous Driving Behavior Factors Affect Aggressive Driving and Road Rage: Targeting Traffic Law Violator and Assaulter of a Traffic Accident (운전행동 결정요인과 위험운전 행동요인이 난폭운전과 보복운전에 미치는 메커니즘 분석을 통한 대책마련 연구: 교통법규위반자 및 교통사고야기자를 대상으로)

  • KIM, Soo Jin;JUNG, Cheol Su;JANG, Seok Yong
    • Journal of Korean Society of Transportation
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    • v.34 no.1
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    • pp.15-28
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    • 2016
  • The purpose of this study is to prepare countermeasures for aggressive driving and road rage which have recently become a hot issue by analysing mechanism of how the driving behavior determinants(personal anger and aggression) and dangerous driving behavior factors(aggressive driving behavior and over-speeding driving behavior, drunk driving behavior, inattentive driving behavior, and inexperience driving behavior) affect aggressive driving and road rage. From the survey conducted by seven branches of the Road Traffic Authority with 351 people who were traffic offenders and drivers who caused car accidents, this study obtained three results as follows. First, seriousness of aggressive driving and road rage and requirements as types of customized educations, proper length of time for education, and contents of education can be understood. Second, specific relation and mechanism between the driving behavior determinants and dangerous driving behavior factors with respect to aggressive driving and road rage can be clearly identified, which helps to set order of priority and weighting of measures for reducing aggressive driving and road rage. Third, countermeasures can be categorized as corporate measures or customized measures through mechanism analysis model of aggressive driving and road rage.

Development and usability evaluation of EEG measurement device for detect the driver's drowsiness (운전자의 졸음지표 감지를 위한 뇌파측정 장치 개발 및 유용성 평가)

  • Park, Mun-kyu;Lee, Chung-heon;An, Young-jun;Ji, Hoon;Lee, Dong-hoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.947-950
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    • 2015
  • In the cause of car accidents in Korea, drowsy driving has shown that it is larger fctors than drunk driving. Therefore, in order to prevent drowsy driving accidents, drowsiness detection and warning system for drivers has recently become a very important issue. Furthermore, Many researches have been published that measuring alpha wave of EEG signals is the effective way in order to be aware of drowsiness of drivers. In this study, we have developed EEG measuring device that applies a signal processing algorithm using the LabView program for detecting drowsiness. According to results of drowsiness inducement experiments for small test subjects, it was able to detect the pattern of EEG, which means drowsy state based on the changing of power spectrum, counterpart of alpha wave. After all, Comparing to the results of drowsiness pattern between commercial equipments and developed device, we could confirm acquiring similar pattern to drowsiness pattern. With this results, the driver's drowsiness prevention system expect that it will be able to contribute to lowering the death rate caused by drowsy driving accidents.

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Design of an Electric Scooter Operation Management App Utilizing Alcohol Detection Sensor (음주측정 센서를 활용한 전동킥보드 운행관리 앱 설계)

  • Eun-Gyeom Jang;Seung-Nyun Kim;Huck Kim;Jeong-Yo Ahn;Min-Su Mun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.435-436
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    • 2023
  • 공유 전동킥보드는 현존 대중교통을 이용하기에 애매한 짧은 구간이나 단거리 이동에 적합하고, 특정 노선과 정류장이 정해져 있지 않아 기동성이 높고 자유로워 이용률이 매년 증가하고 있다. 하지만 늘어난 사용자만큼 사건·사고도 늘어나고 있다. 킥보드 전담 부서가 없어 단속의 미흡으로 인해 대중교통이 운행하지 않는 심야에 음주 상태에서 운전하여 사고가 나는 경우가 부지기수이다. 본 프로젝트는 사회적 문제로 대두되고 있는 전동킥보드 음주운전 사고를 방지하고자 아두이노 센서를 기반으로 한 알코올 농도측정으로 음주자의 대여를 사전에 차단하기 위한 기능을 포함하고 있는 애플리케이션이다.

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AN ADROIT UNRELATED QUESTION RANDOMIZED RESPONSE MODEL WITH SUNDRY STRATEGIES

  • TANVEER AHMAD TARRAY;ZAHOOR AHMAD GANIE
    • Journal of applied mathematics & informatics
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    • v.41 no.6
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    • pp.1377-1391
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    • 2023
  • When sensitive topics such as gambling habits, drug addiction, alcoholism, tax evasion tendencies, induced abortions, drunk driving, past criminal involvement, and homosexuality are the focus of open or direct surveys, it becomes challenging to obtain accurate information due to nonresponse bias and response bias. People often hesitate to provide truthful answers. Warner introduced an ingenious method to address this issue. In this study, a new and unrelated randomized response model is proposed to eliminate misleading responses and nonresponses caused by the stigma associated with the attribute being investigated. The proposed randomized response model allows for the estimation of the population percentage with the sensitive characteristic in an unbiased manner. The characteristics and recommendations of the proposed randomized response model are examined, and numerical examples are provided to support the findings of this study.