• Title/Summary/Keyword: Drunk Driving Accidents

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Alcohol Consumption and Alcohol-involved Traffic Accident (알코올 소비와 음주교통사고)

  • 이원재
    • Korean Journal of Health Education and Promotion
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    • v.14 no.2
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    • pp.69-94
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    • 1997
  • Recently, occurrence of alcohol-involved traffic accidents is increasing while all the accidents by violation of law except drunk driving. Traffic accidents by drunk driving has a great external cost. In detecting drunk driving, blood alcohol content Many studies reported close correlation between blood alcohol content and traffic accidents by drunk driving. The risk of traffic accidnet increases exponentially as blood alcohol content increases. To control traffic accidents by drunk driving, decide target population. Heavy drinkers are few and responsible for a small part of the loss while casual drinkers are many and responsible for a large part of the loss. Casual drinkers need to be included in the targer population for the control of traffic accident by drunk driving. Stragegies to reduce the quantity of alcohol consumed, change the pattern of drink, such as frequency of drinking, raise of perceived risk of accident need to be sought.

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Verifying the Voluntariness of the Location of Drunk Driving Accidents (음주운전사고 발생위치의 임의성 검증)

  • Nam, Kwang-Woo;Kang, In-Joo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.2
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    • pp.129-138
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    • 2007
  • The cases of drunk driving accidents have been steadily increasing every year. The number of accidents was quadrupled from 7,303 cases in 1990 to 25,150 cases in 2004. In addition, the proportion of drunk driving accidents to total traffic accidents was 2.9% in 1990 but it increased to 13.0% in 2003. Studies of drunk driving accidents have been focusing on analyzing psychological decisive factors, classifying drivers' individual characters and types of drunk driving accidents by considering the location of drunk driving accidents. This study assumed that drunk driving accidents would have regular characteristics in respect to spatiality and analyzed its relation with spatial factors such as, accident black spot, the location of bars, the distance of drivers' houses, and spatio-temporal distributional characteristics through drawing density distribution and connecting the time of accidents. In order to achieve the goal of this study, the individual location information was organized and drawn as types of GIS data. From the result of density distribution using Kernel Density Mapping and analysis through the coefficient of areal correspondence, it was understood that drunk driving accidents correlates with some spatial factors.

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The Effects of Alcohol on Psychomotor Skill and Driving Behaviors (알코올이 정신운동 및 운전행태에 미치는 영향)

  • Ryu, Jun Beom;Shin, Yong Kyun;Lee, Won Young
    • Journal of Korean Society of Transportation
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    • v.30 no.6
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    • pp.27-36
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    • 2012
  • In Korea, 28,641 cases of traffic accidents were caused by drunk driving in 2010. These statistics accounted for 12.62% of total number of traffic accidents. Moreover, the percentages of deaths and injuries from them were nearly 15% of those from whole traffic accidents. While police has emphasized enforcement efforts in order to reduce drunk driving, culture generous to drunk driving in addition to the absence of an appropriate intervention system for habitual drunk drivers have contributed to the increasing number of the drunk driving accidents in Korea. This study examined specific behavioral changes in drunk driving by comparing drivers' behavior pattern in non-alcoholic condition to those in alcoholic condition, using a psychomotor test and a driving simulator. In the psychomotor test measuring participants' reactions to the target stimulus, it was revealed that participants' correct responses were decreased, false responses were increased, and no responses also were increased after drinking. Furthermore, in the driving simulator performance after drinking, not only driving speed was faster but also the deviation of an accelerator pedal pressure and of the vehicle's lateral position were much increased. These results indicated that alcohol consumption would impair visio-cognitive ability and deteriorate driving safety. Finally, the implications and limitations of our findings and suggestions for the future research were discussed.

A Study on the Effectiveness of DUI(driving under the influence) Alcohol Treatment Program

  • Park, Hyun-Sun;Kim, Hyun-Joo;Choi, Chang-Suek
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.10
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    • pp.215-223
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    • 2019
  • Driving after drinking is highly likely to cause accidents due to lack of responsibility and poor judgment. South Korea is seeking a sentence for accidental drinking accidents. The suspended jail term for drunk drivers accounts for more than 70 percent of the total. However, those who come to the probation office during the probation period are involuntary, subject to little motivation for change, and the large-scale, collective, and short-term education offered to them is limited in preventing re-off. In addition to small group and long-term education, we conducted intensive short-term interventions to see changes in drinking habits in three months. In the long run, the effectiveness of drinking control will be demonsstrated, making a difference in improving the programs offered to drunk drivers in the future. Drunk driving accouts for a very high percentage of the causes of traffic accidents, which, like many countries around the world, should make efforts to prevent and punish drunk driving.

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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Development of System for Drunk Driving Prevention using Big Data in IoT environment (IoT 환경에서 빅데이터를 활용한 음주 운전 방지 시스템 개발)

  • Shin, Dong-Jin;Hwang, Seung-Yeon;Kim, Jeong-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.6
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    • pp.69-74
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    • 2022
  • Even after the drunk driving law was revised through the Yoon Chang-ho Act in 2019, the proportion of habitual offenders among all drunk drivers in 2021 was 4.7%, up 0.5% from 2018. In addition, drunk driving is not easily stopped due to the addiction of alcohol, and there is a high probability of recidivism in accidents as it is often driven again. Therefore, in this paper, to prevent this, when alcohol is measured using its own sensor rather than a manual police measure, the vehicle stops and related data such as the current location and time are automatically saved. Since it is not possible to develop directly on the car, this system was developed by converging various technologies and sensors such as Arduino board, Firebase, and GPS based on the IoT environment in consideration of the simulation environment.

Driving under the influence Prevention System Using Fingerprint sensors with Arduino (아두이노를 기반으로 지문센서를 활용한 음주운전방지장치)

  • Son, Jung-Hun;Lee, Ho-Yeong;Bae, Hyun-Ji;Kim, Yun-Ho;Lee, Boong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.5
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    • pp.969-976
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    • 2022
  • In this paper, a drunk driving prevention system was implemented to measure drunk driving before starting to prevent drunk driving accidents caused by complacency after drinking. In order to prevent a situation in which a driver but not a driver authenticates instead of a driver, the identification means was strengthened and the alcohol sensor was implemented to operate when the wind sensor measured above the set value set. Through this system, the driver's alcohol measurement process was strengthened. Sensors were determined through various experiments, and finally, when the alcohol concentration was 0.03% or more, the DC motor was stopped and the vehicle was designed to be unable to operate, thereby implementing a system in which drunk driving was prevented in advance.

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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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.

Traffic Accident Damage Severity of Old Age Drivers by Multilevel Analysis Model (다수준분석모형을 이용한 고령운전자 교통사고 피해 심각성 분석)

  • Jang, Tae Youn
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.34 no.2
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    • pp.561-571
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    • 2014
  • This study analyzes traffic accident severity of old age drivers in fourteen cities and counties of Jeonbuk Province. It is assumed that traffic accident effecting factors have two staged structure by personal and driving environment and urban characteristics. Multilevel Analysis Model is used under the assumption of hierarchical characteristics to analyze factors effecting severity. As the driver's age increases after sixty-five years old, accident damages become severe. The drunk driving is likely to make traffic accident damage more severer. The number of fatal accident by old age drivers is about three time more than by no old age drivers. Old age drivers have higher number of night traffic accidents but severer ones in daytime. Old age drivers show the higher number of traffic accidents but severer ones in fine weather. Wet road surface also influences damage severity and especially old age drivers show higher serious damage and fatal than no old drivers.