• 제목/요약/키워드: driving

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운전자 주행특성 분석을 통한 도로 안전성 평가에 관한 기초연구 (A Basic Study on Road Safety Assessment through an Analysis of Drivers' Driving Characteristics)

  • 임준범;이수범;박준태;박진호
    • 한국안전학회지
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    • 제26권5호
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    • pp.136-140
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    • 2011
  • In this study, to investigate the dangerous driving on the curves, a driving test was performed in 10 km from Jinan and to Jeonju(Bugui Gas Station~Whasim Intersection), on the national highway No. 26. For the dangerous driving felt by the driver when a driver is driving on the curves, lateral acceleration and yaw rate were analyzed. And then, the reference value of lateral acceleration and yaw rate was computed. Through observing the driving speed and the characteristics of ordinary drivers using the applicable roads or following them as they drive, the driving test was performed again and the section exceeding the reference value set as above was computed. On the dangerous driving area, exceeding the reference value, total 10 accidents took place from 2006 till 2010, and slipping caused by speeding accounted for more than 70% of the accidents. It was concluded that the result of an analysis through recording drivers' driving characteristics, was reliable.

The Effect of Driving Simulator Program on Elderly Drivers

  • Kim, Deokju
    • International Journal of Advanced Culture Technology
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    • 제9권2호
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    • pp.18-31
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    • 2021
  • The purpose of the present study was to present evidence for driving interventions for the elderly by conducting programs that can improve visual perception and cognitive function in a driving simulator for elderly drivers and analyse their effects. Three elderly subjects who were 65 years or older, did not have physical and cognitive impairments, and were able to drive themselves participated in the present study. A total of 12 intervention sessions, of which subjects participated in 10 sessions of nine different visual perception and cognitive function programs available in a driving simulator, were conducted and pre- and post-program assessments were conducted (two assessments in total). The assessments included the evaluation of visual perception, frontal lobe function, concentration, safe driving behaviour, and self-efficacy. The results showed positive effects of the driving simulator program on the visual perception, frontal lobe function, concentration, safe driving behaviour, and self-efficacy of all subjects. Changes in the simulator results showed remarkable improvement in the response evaluation, judgment evaluation, and predictive power evaluation, but showed difficulties in interference tasks and depth perception in common. The results showed positive effects of driving simulator training on the driving ability of the elderly, and consistent provision of such training is expected to improve the quality of life of the elderly by securing the safety of driving and actively supporting social participation.

Study on the Take-over Performance of Level 3 Autonomous Vehicles Based on Subjective Driving Tendency Questionnaires and Machine Learning Methods

  • Hyunsuk Kim;Woojin Kim;Jungsook Kim;Seung-Jun Lee;Daesub Yoon;Oh-Cheon Kwon;Cheong Hee Park
    • ETRI Journal
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    • 제45권1호
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    • pp.75-92
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    • 2023
  • Level 3 autonomous vehicles require conditional autonomous driving in which autonomous and manual driving are alternately performed; whether the driver can resume manual driving within a limited time should be examined. This study investigates whether the demographics and subjective driving tendencies of drivers affect the take-over performance. We measured and analyzed the reengagement and stabilization time after a take-over request from the autonomous driving system to manual driving using a vehicle simulator that supports the driver's take-over mechanism. We discovered that the driver's reengagement and stabilization time correlated with the speeding and wild driving tendency as well as driving workload questionnaires. To verify the efficiency of subjective questionnaire information, we tested whether the driver with slow or fast reengagement and stabilization time can be detected based on machine learning techniques and obtained results. We expect to apply these results to training programs for autonomous vehicles' users and personalized human-vehicle interfaces for future autonomous vehicles.

Effect of Driver's Cognitive Distraction on Driver's Physiological State and Driving Performance

  • Kim, Jun-Hoe;Lee, Woon-Sung
    • 대한인간공학회지
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    • 제31권2호
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    • pp.371-377
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    • 2012
  • Objective: The aim of this study is to investigate effect of driver's cognitive distraction on driver's physiological state and driving performance, and then to determine parameters appropriate for detecting the cognitive distraction. Background: Driver distraction is a major cause of traffic accidents and poses a serious threat to traffic safety due to ever increasing use of in-vehicle information systems and mobile phones during driving. Cognitive distraction, among four different types of distractions, prevents a driver from processing traffic information correctly and adapting to change in surround vehicle behavior in time. However, the cognitive distraction is more difficult to detect because it normally does not involve significant change in driver behavior. Method: A full-scale driving simulator was used to create virtual driving environment and situations. Participants in the experiment drove the driving simulator in three different conditions: attentive driving with no secondary task, driving and conducting secondary task of adding numbers, and driving and conducting secondary task of conversing with an experimenter. Parameters related with driver's physiological state and driving performance were measured and analyzed for their change. Results: The experiment results show that driver's cognitive distraction, induced by secondary task of addition and conversation during driving, increased driver's cognitive workload, and indeed brought change in driver's physiological state and degraded driving performance. Conclusion: The galvanic skin response, pupil size, steering reversal rate, and driver reaction time are shown to be statistically significant for detecting cognitive distraction. The appropriate combination of these parameters will be used to detect the cognitive distraction and estimate risk of traffic accidents in real-time for a driver distraction warning system.

Mixed Driving 방식을 이용한 QVGA급 LDI의 Source Driver 설계 (Design of Source Driver for QVGA-Scale LDI Using Mixed Driving Method)

  • 김학윤;고영근;이성우;최호용
    • 대한전자공학회논문지SD
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    • 제46권11호
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    • pp.40-47
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    • 2009
  • 본 논문에서는 mixed driving 방식을 이용하고 이미지 개선을 위해 $\gamma$-correction을 수행하는 QVGA급 TFT-LCD driver IC의 Source Driver를 설계한다. 240 RGB ${\times}$ 320 dots resolution을 가진 source driver는 720개의 채널을 통해 TFT-LCD 패널을 구동하고 18-bit의 RGB 데이터를 사용하여 26만 color를 수행한다. Mixed driving 방식은 종전의 좋은 구동력을 가진 channel amp. driving 방식에 저면적이 가능한 gray amp. driving 방식을 혼합한 방식으로서, 영상이 동일 색상을 가지는 worst case를 감지하여 구동력을 높여주는 방식을 사용함으로써 적절한 구동력과 저면적을 구현하는 설계방식이다. 본 Source Driver는 $0.35{\mu}m$ Magnachip embedded DRAM 공정을 사용하여 설계하였으며 Hspice를 사용하여 시뮬레이션을 하였다. 실험결과, 기존의 gayscale driving 방식에서는 hsync time을 만족시키지 못하는데 비해 $17{\mu}s$의 channel 구동시간으로 충분한 timing margin을 가지고 액정 channel 을 구동할 수 있으면서, 구동 앰프 78개와 제어회로를 갖는 저면적으로 설계되었다.

Correlation of Cognitive Function, Activities of Daily Living and Driving Performance in Stroke Hemiplegic Patients

  • Kwak, Hosoung;Yoo, Chanuk
    • 대한통합의학회지
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    • 제8권2호
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    • pp.89-95
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    • 2020
  • Purpose : This study aims to evaluate the correlation of cognitive function, activities of daily living (ADL), and driving performance in stroke hemiplegic patients residing in Korea. Methods : Subjects of the study were 18 stroke hemiplegic patients admitted to hospitals situated in Seoul. A clock drawing test (CDT), a modified Barthel index (MBI), and a virtual reality driving simulator (Eca faros-driving simulator) were used to examine their cognitive function, their ADL ability, and their driving skills, respectively. Results : Driving skills of stroke hemiplegic patients were shown to be associated with the CDT evaluation tool (r=-.777) (p<.001), but they were found to have any correlation with MBI (r=-.022) (p>.05). Additionally, an individual's CDT showed that the driving simulator evaluation result (pass/fail) could be discriminated with a sensitivity of 100.0 %, a specificity of 40.0 %, and an accuracy of 66.7 %. The result confirmed that the CDT is a useful evaluation tool for screening driving ability in people with stroke. But the MBI did not show any significant results (sensitivity of 62.5 %, specificity of 40.0 %, and predicted the results of the simulator with 50.0 % of accuracy) (p>.05). Conclusion : This study shows that cognitive function influences the driving performance in people with stroke. Driving skills of stroke hemiplegic patients are seen to be highly related to CDT. In the field of driving rehabilitation, these findings could be useful for evaluating driving skills relating to CDT. Furthermore, the study results will set a guideline for domestic occupational therapists to use the evaluation tool for assessing driving abilities in people with stroke.

전기 자동차 성능 평가를 위한 도심 주행 모드 개발 Part I : 주행 모드 개발 (Development of Urban Driving Cycle for Performance Evaluation of Electric Vehicles Part I : Development of Driving Cycle)

  • 양성모;정낙탁;김광섭;최수빈;;김현수;서명원
    • 한국자동차공학회논문집
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    • 제22권7호
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    • pp.117-126
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    • 2014
  • Recently, due to various environmental problems such as global warming, increasing of international oil prices and exhaustion of resource, a paradigm of world automobile market is rapidly changing from vehicles using internal combustion engine to eco-friendly vehicles using electric power such as EV (Electric Vehicle), HEV (Hybrid Electric Vehicle), PHEV (Plug-in Hybrid electric Vehicle) and FCEV (Fuel Cell Electric Vehicle). There are many driving cycles for performance evaluation of conventional vehicles. However there is a lack of researches on driving cycle for EV. This study is composed of part 1 and part 2. In this paper part 1, in order to develop urban driving cycle for performance evaluation of electric vehicles, Gwacheon-city patrol route of police patrol car was selected. Actual driving test was performed using EV. The driving data such as velocity, time, GPS information etc. were recorded. GUDC-EV (Gwacheon-city Urban Driving Cycle for Electric Vehicles) including road gradient was developed through the results of analyzing recorded data. Reliability of the driving cycle development method was substantiated through comparison of electricity performance. In the second part of this study, the developed driving cycle was compared to simulation result of the existing urban driving cycle. Verification of the developed driving cycle for EV performance evaluation was described.

Subcortical Ischemic Change as a Predictor of Driving Cessation in the Elderly

  • Jang, Mi;Hong, Chang Hyung;Kim, Hyun-Chung;Choi, Seong Hye;Seo, Sang Won;Kim, Seong Yoon;Na, Duk L.;Lee, Yunhwan;Chang, Ki Jung;Roh, Hyun Woong;Son, Sang Joon
    • Psychiatry investigation
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    • 제15권12호
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    • pp.1162-1167
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    • 2018
  • Objective Motor, perceptual, and cognitive functions are known to affect driving competence. Subcortical ischemic changes on brain magnetic resonance imaging (MRI) can reflect reduction in cognitive and motor performance. However, few studies have reported the relationship between subcortical ischemic changes and driving competence of the elderly. Thus, the objective of this study was to investigate the association between subcortical ischemic changes on MRI and driving abilities of the elderly. Methods Participants (n=540) were drawn from a nationwide, multicenter, hospital-based, longitudinal cohort. Each participant underwent MRI scan and interview for driving capacity categorized into 'now driving' and 'driving cessation (driven before, not driving now)'. Participants were divided into three groups (mild, n=389; moderate, n=116; and severe, n=35) depending on the degree of white matter hyperintensity (WMH) on MRI at baseline. Driving status was evaluated at follow-up. Statistical analyses were conducted using ${\chi}^2$ test, analysis of variance (ANOVA), structured equation model (SEM), and generalized estimating equation (GEE). Results In SEM, greater baseline degree of WMH was directly associated with driving cessation regardless of cognitive or motor dysfunction (${\beta}=-0.110$, p<0.001). In GEE models after controlling for age, sex, education, cognitive, and motor dysfunction, more severe change in the degree of WMH was associated with faster change from 'now driving' state to 'driving cessation' state over time in the elderly (${\beta}=-0.508$, p<0.001). Conclusion In both cross-sectional and longitudinal results, the degree of subcortical ischemic change on MRI might predict driving cessation in the elderly.

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

  • 황순천;이동민
    • 한국ITS학회 논문지
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    • 제23권1호
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    • pp.26-41
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    • 2024
  • 안전한 도로교통 환경 조성을 위하여 운전행동에 영향을 미치는 인적요인에 관한 연구가 필요하지만, 실제 주행행태에 영향을 미치는 개인별 인적요인 특성을 도출하기에는 많은 어려움이 있다. 이에, 개별 운전자의 자기 보고를 통하여 도출되는 위험운전성향을 분석하여 주행 행태 특성과 상관성이 있는지 확인하고, 교통상황에 따른 주행행태에 영향을 미치는 운전성향을 추정하는 방법을 제시하고자 하였다. 본 연구에서는 기존에 고안된 설문 기법을 활용하여 실험 참가자들의 위험운전성향을 여러 방법으로 도출하고, 가상환경 기반의 주행 시뮬레이터 실험을 통하여 도출된 주행행태 특성을 분석하여 위험운전성향과 주행행태 특성 간 유의미한 상관관계가 있는지 확인하였다. 실험 결과, 한국형 DBQ를 통하여 도출되는 난폭운전성향이 높은 사람들이 상대적으로 빠른 주행속도와 가속도 행태를 보이는 것을 확인할 수 있었다. 이를 통하여 상대적으로 위험운전행동을 보이는 운전자를 추정할 수 있는 평가 방법을 확인할 수 있었다.

도시부 도로 호송주행(Convoy Driving) 서비스 개발 및 효과분석 (A Study on the Development of Urban Roads Convoy Driving Service and Effect Analysis)

  • 손승녀;이지연;조용성;박지혁;소재현
    • 한국ITS학회 논문지
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    • 제21권1호
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    • pp.51-63
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    • 2022
  • 호송주행(convoy driving)은 군집주행(Platoon)과 함께 다중차량 협력주행 (Multi-vehicle cooperation) 기술 중 하나로써 국외에서는 호송주행시 차량의 대형유지를 위한 차량제어 메커니즘 연구가 활발히 진행되고 있으며, 유럽의 Autonet 2030연구에서는 고속도로를 대상으로 호송주행 서비스를 개발하고 실증한 바 있으나 국내에서는 아직까지 호송주행에 대한 개념정립조차 미흡한 실정이다. 이에 본 연구에서는 호송주행의 서비스 개념을 정립하고 도시부 도로에서의 서비스 적용을 위한 시나리오 및 통신 메시지 등을 개발하여 시뮬레이션 분석을 통해 그 실효성을 검증하고자 하였다. 도시부 도로의 대표적인 V2I 협력주행 서비스인 사각지대 운행지원 서비스 및 딜레마존 안전주행 서비스를 대상으로 개별차량 협력주행 시와 호송주행 시를 비교 분석한 결과 교통안전성 지표인 상충횟수와 교통효율성 지표인 지체시간 및 정지수가 개별차량 협력주행 시보다 호송주행 시 크게 개선되는 것을 알 수 있었다.