• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.6
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• pp.10-24
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• 2014

In-vehicle warning information systems(IWIS) is an effective countermeasure for preventing traffic crashes. It provides drivers with warnng messages about upcoming hazards to draw proper evasive maneuvering. This study developed a methodology for evaluating the effectiveness of IWIS based on an integrated index to identify driver's responsive behavior. The proposed index consists of characteristics of longitudinal and lateral behavior of vehicle maneuverings. Also, a method to assign mixed-weights in the context of multi-criteria decision making framework was adopted to develop the evaluation method. It is expected that the outcome of this study is useful in designing more effective in-vehicle warning information systems.

• Journal of Korean Society of Transportation
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• v.32 no.2
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• pp.106-118
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• 2014

The objective of this study is to develop a methodology for evaluating the effectiveness of in-vehicle pedestrian warning systems. Driving Simulator-based experiments were conducted to collect data to represent driver's responsive behavior. The braking frequency, lane change duration, and collision speed were used as measure of effectiveness (MOE) to evaluate the effectiveness. Collision speed data obtained from the simulation experiments were further used to predict pedestrian injury severity. Results demonstrated the effectiveness of warning information systems by reducing the pedestrian injury severity. It is expected that the proposed evaluation methodology and outcomes will be useful in developing various vehicular technologies and relevant policies to enhance pedestrian safety.

• Journal of Korean Society of Transportation
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• v.27 no.5
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• pp.63-74
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• 2009

One of the effective countermeasures for preventing traffic accidents is to provide traffic safety warning information to drivers. Provision of warning information would lead to safer driving to avoid accident occurrence. This study investigated the effects of in-vehicle warning information on driver's behavior. A variety of warning information contents using text, sound, and pictograms were prepared for the field experiments. Individual vehicle speed and acceleration data, which represent quantitative drivers' behavior in response to in-vehicle warning information, were collected using differential global positioning systems (DGPS). Statistical analyses including ANOVA and Tukey's pairwise comparison were conducted. It is expected that the results could be invaluable for designing more effective warning information.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.3185-3199
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• 2018

Middle- and old-aged driver's capability in recognition for driving scene elements was compared. Central and ambient stimuli were selected from natural driving scene and sensitivity, bias and reaction time were measured as dependent measures. The results are as follows. First, in general, older drivers showed lower sensitivity than middle-aged drivers. In particular, the older drivers' sensitivity was significantly lower for the ambient stimuli than central stimuli, whereas the middle-aged drivers showed no significant difference between the two types of stimuli. Second, the older drivers tended to show more lenient responses whereas the middle-aged drivers responded more conservatively. Third, the older drivers showed longer reaction time than the middle-aged drivers, in particular, in the responses of miss and correct rejection. This results suggested that the older drivers' retention for driving scene elements in their working memory may not be stable, which can be resulted in difficulties in rapid and accurate responses in a real life driving.

• Journal of Korean Society of Transportation
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• v.25 no.6
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• pp.111-120
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• 2007

More accurate vehicle trajectory data are now readily available through Differential Global Positioning Systems (DGPS). A variety of research opportunities emerge with utilization of such high resolution traffic data. A novel approach of this study is to explore drivers' responsive behavior to variable message signs (VMS) by using individual vehicle trajectories extracted from in-vehicle DGPS data. Responsive characteristics of drivers traveling on urban freeways, which can be represented by speeds and acceleration rates, under the provision of real-time traffic information through VMS are statistically investigated. In addition to conducting an ANOVA test, probability density functions of acceleration rates were estimated. The findings of this study can be used to understand the impact of drivers' workload when providing VMS messages on traffic flow patterns. Furthermore, results can be important fundamentals to assist in conducting more realistic traffic simulations.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2002.05a
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• pp.241-250
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• 2002

본 연구의 목적은 최근 운전자 행동에 대한 연구 방법으로 매우 중요하게 대두되고 있는 운전 시뮬레이션 방법을 이용하여 운전자들이 보이는 기본적인 운전 수행 능력 및 이러한 운전 수행 능력과 관련이 가장 깊은 것으로 기존의 연구들이 밝혀왔던 기본적인 지각적/인지적/운동적 수행 능력을 측정하여 운전자 수행을 평가하는 것을 목적으로 한다. 특히 운전자의 운전 수행 및 운전과 관련된 기본적인 정신/운동 수행 능력은 정보 처리적 관점에서 측정되고 분석되었으며, 이를 통해 운전자들이 보이는 기본적인 정보처리 능력의 패턴에 대한 전반적 이해를 시도하였다. 본 연구에서는 기본적인 운전 수행 능력을 평가하는데 사용되는 차량의 속도 유지와 차선 유지에 대한 측정치와 더불어 운전과 관련한 인간 수행 중에서 단순 반응 능력, 선택 반응 능력, 속도 추정 능력, 청각적 주의나 시각적 주의의 분산 능력 등이 운전 시뮬레이션을 통하여 운전 중에 실시간으로 측정되었다. 본 연구에서 수집된 자료는 운전자들의 실제 운전 수행 및 이와 관련된 정보 처리 활동에 대한 표준화된 준거를 제시하는데 기초적 자료로 사용될 수 있으리라 생각된다.

• Journal of Korean Society of Transportation
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• v.33 no.4
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• pp.405-416
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• 2015

This paper developed a method analyze drivers' response characteristics using spectral analysis with car following data. Cross-correlation function and cross spectrum are produced by Fourier transform from speed fluctuations of leading vehicle and following vehicle during the designated time ${\tau}$. Based on the analysis data, a process to calculate the reaction time and stimulus-adaption index of following vehicle was developed and 170 cases of field data was applied. It was reported average of 0.654 and 2.091 seconds of stimulus-adaption index and reaction time respectively. In conclusion, the developed indexes might contribute to enhance vehicle control of autonomous vehicle more efficient and safer.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.3D
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• pp.231-240
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• 2010

As majority of the traffic accidents in intersections is caused by human factor, a close examination is required on its contributing factors through measuring the psychological and physiological response according to the driving characteristics of the drivers and the road conditions. In this study, for the safety evaluation of individual intersection considering human factors of the drivers, electroencephalography reaction was measured utilizing cutting-edge measuring equipment and survey on drivers' cognitive characteristics in ordinary times and while driving test was conducted. The relationship between the electroencephalography response when approaching the intersection and cognitive evaluation survey data in driving test was clarified, and individual intersection safety evaluation model was built considering cognitive evaluation factor and the reaction of a bio-response electroencephalography data. As a result, I could find out that cognitive evaluation was made through the reaction of a bio-response (Electroencephalography) process because electroencephalography reaction of a bio-response showed differently by the physical characteristics of the intersection and cognitive evaluation had a difference.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.21 no.10
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• pp.1-12
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• 2007

Through this experiment driver's perception were measured. An analysis of the perception measurement result analyzed the subject's obstacle perception response time according to voltage patterns. The difference in the reaction time between men and women was also analyzed. Futhermore, the obstacle perception response time was analyzed according to the rate of the brightness of the headlamp. The relative delay time was analyzed In reference to times when there was no voltage change.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2006.05a
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• pp.114-119
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• 2006

운전자의 시인성, 뇌파, 심리평가를 위한 실내 실험실 및 측정 시스템을 구축하고 예비실험 결과를 분석한 후 운전자의 시인성을 측정하였다. 본 실험을 위하여 남, 녀 각각 20명의 피험자를 선발하였으며 이들의 연령은 피험자의 연령에 의한 측정오차를 최소화하기 위하여 모두 20대로 제한하였다. 그리고 본 실험 측정결과를 전압패턴에 따라 피험자의 장애물 인식 반응속도를 분석하였고, 남-녀 성별 간의 장애물 인식 반응속도 차이를 분석하였다. 또한 전조등의 전압변동에 의한 밝기 비율에 따라서 피험자의 장애물 인식 반응속도를 분석하였고, 전압변동이 없을 때의 장애물 인식 반응속도를 기준으로 상대적인 장애물 인식 지연시간을 분석하였다.