• Title/Summary/Keyword: Reckless drivers

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The Effects of Driving Behavior Determinants on Dangerous Driving and Traffic Accidents in the Reckless Drivers Group: A Path Analysis Study (사고 및 음주운전자들의 운전행동결정요인 특성이 위험행동 및 교통사고에 미치는 영향: 경로분석 연구)

  • O, Ju-Seok;Lee, Sun-Cheol
    • Journal of Korean Society of Transportation
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    • v.25 no.2 s.95
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    • pp.95-105
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    • 2007
  • Speeding and drunken driving make drivers fail to detect hazards and cope with various driving situations. These behaviors also raise the possibility of being involved in traffic accidents and tend to increase the number of fatalities. The authors compared the driving behavior determinants of a rockless drivers group, consisting of individuals who have committed traffic accidents or offended regulations through drunken driving, with a normal drivers group. In the results, the reckless drivers group showed high scores of 'speeding' and 'drunken driving', and they also stated that they had more experiences of speeding, drunken driving and traffic accidents. In the path analysis study, it was found that the impacts of the rockless drivers group's 'risk sensitivity' and 'situational adaptability' on traffic accidents were stronger than those of normal drivers. This means 'risk sensitivity' and 'situational adaptability' can explain the origins of traffic accidents better in the reckless drivers group than accidents of the normal drivers group.

The Structure of Driving Behavior Determinants and Its Relationship between Reckless Driving Behavior (운전행동 결정요인의 구성과 위험운전행동과의 관계)

  • Ju Seok Oh ;Soon Chul Lee
    • Korean Journal of Culture and Social Issue
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    • v.17 no.2
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    • pp.175-197
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    • 2011
  • This study aimed to expand and reconstruct the Driving Behavior Determinants' factors in order to confirm the relationship between Driving Behavior Determinants(DBD) and drivers' reckless driving behavior level. To expand the structure of DBD, drivers anger, introversion and type A characteristics were added, which were never considered as related factors in existing DBD studies before. The correlations between the new factors of DBD and reckless driving behavior(includes driver's personal records of driving experiences for the last three years) were verified. A factor analysis result showed us that new DBD questionnaire consists of five factors such as, 'Problem Evading', 'Benefits/Sensation Seeking', 'Anti-personal Anxiety', 'Anti-personal Anger', and 'Aggression'. Also, reckless driving behavior consists of 'Speeding', 'Inexperienced Coping', 'Wild Driving', 'Drunken Driving', and 'Distraction'. The result of correlation between the DBD and reckless driving behavior indicates that inappropriate level of DBD is highly correlated with dangerous driving behavior and strong possibilities of traffic accidents. Based on these results, we might be able to discriminate drivers according to DBD level and predict their reckless driving behavior through a standardization procedure. Futhermore, this will make us to provide drivers differentiated safety education service.

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Estimation of Driving Behavior Characteristics through Self-Reported-Based Driving Propensity (자기보고 기반 운전성향을 통한 주행행태 특성 추정 연구)

  • Sooncheon Hwang;Dongmin Lee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.1
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    • pp.26-41
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    • 2024
  • To ensure safer road conditions, understanding the human factors influencing driving behavior is crucial. However, there are many difficulties in deriving the characteristics of individual human factors that affect actual driving behaviors. Therefore, this study analyzes self-reported dangerous-driving propensities in order to explore potential correlations with drivers' behaviors. The goal is to propose a method for assessing driving tendencies based on varying traffic scenarios. The study employed a questionnaire to gauge participants' propensity to drive dangerously, utilizing a simulator to analyze their driving behaviors. The aim is to determine any notable connections between dangerous-driving propensity and specific driving behaviors. Results indicate that individuals exhibiting a high propensity for reckless driving, as identified by the Korean DBQ, tend to drive at higher speeds and display more aggressive acceleration patterns. These findings contribute to a potential method for assessing reckless driving drivers.

A Study for Improving the Traffic Accident Management System with regard to the Driver's Human Factor (운전자 인적요인을 고려한 교통사고 조사양식 개선방안 연구)

  • Ju Seok Oh;Soon Chul Lee
    • Korean Journal of Culture and Social Issue
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    • v.16 no.3
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    • pp.267-287
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    • 2010
  • This study aimed to improve the Traffic Accident Management System's validity and reliability, so the system could help classify and judge the human factors that correlate with traffic accidents. We took traffic accident research and analysis systems of United States and United Kingdom and certain related, former studies into account in building our test system. Next, we used the test system's criteria to re-analyze 502 Gyeonggi province accident records from 2008. We compared the results to existing systems' results to verify the test system's validity and reliability. These results indicated the necessity of removing some uncertain items from the existing systems and adding in some new items from the test system. This should help improve understanding of what happens at traffic accident scenes and of the sources of drivers' abnormal, reckless behavior. We introduce suggestions for improving the Traffic Accident Management System and research concepts for further studies.

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Impacts of Automated Vehicles on Traffic Flow Changes (자율주행자동차 도입으로 인한 교통흐름 변화 분석)

  • Jung, Seung weon;Moon, Young jun;Lee, Sung Yeol;Hwang, Kee Yeon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.6
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    • pp.244-257
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    • 2017
  • Traffic congestion occurs from drivers' human factors such as driver reaction time, reckless lane change, and inexperienced driving. When Automated Vehicles are introduced, human factors are excluded, resulting in increased average vehicle speed, stabilizing traffic flow, and increasing road capacity. This study analyzed traffic flow changes through traffic volume-speed-density plots, and increased road capacity due to Automated Vehicles. As a result of the analysis, when rate of automated vehicles gests higher, the traffic flow became stable. Additionally, it was analyzed that when all vehicles were automated, the road capacity increased by about 120 %. It is expected that there will be a positive expectation in terms of traffic congestion and traffic demand management due to the introduction of Automated Vehicles.

Public Attitude Survey on Traffic Fine Policy (교통과태료제도에 대한 국민의식조사 분석)

  • Kim, Yeon-Soo
    • Korean Security Journal
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    • no.37
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    • pp.51-82
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    • 2013
  • Traffic safety has been dramatically enhanced thanks to recent improvements in traffic environment. Nonetheless, many traffic accidents occur due to unchanging driving practices. Therefore, this study addresses the issues of traffic fine and penalty fine policies, and seek appropriate levels of traffic fines through a public attitude survey. For this purpose, a survey was conducted on 905 adult drivers over 20 years of age from 15 provinces and metropolitan cities. Analysis results are as follows. First, traffic environment in South Korea is generally not safe. Respondents perceive violation of traffic laws such as reckless driving, speeding and drunk and driving as an important cause. Second, 61.6% of respondents experienced over one speeding annually, but only 15.2% of respondents were caught in the last three years. Third, opposition to levels of traffic fines has decreased over the past, and responses were more positive when more information was provided. Fourth, to deter moral hazard of paying traffic fines to avoid traffic penalty points, traffic fines should be at least 50,000~70,000 won higher than penalty fines. Fifth, there was less opposition to implementation of accumulated penalty policy compared to income-based differential fine levels. Sixth, traffic fines for different types of traffic violations need to be reorganized. In conclusion, this study suggests the following policy improvements for the current traffic fine and penalty fine policies for violation of traffic laws. First, enough understanding and consensus must be developed for policy improvements. Second, administrative sanctions such as giving penalty points should be considered rather than financial sanctions. Third, there should be policy improvement for accumulative penalty. Current acts of traffic law violation should be reorganized.

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