• 한국산학기술학회논문지
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• 제15권5호
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• pp.2743-2748
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• 2014

본 연구는 65세 이상 노인의 감각처리능력과 안전운전행동에 관한 상관관계를 알아보고자 하였다. 65세 이상 정상노인 31명을 대상으로 감각처리능력과 안전운전행동에 관한 설문조사를 하였으며, 수집된 자료는 피어슨 상관관계분석을 실시하였다. 감각처리능력과 안전운전행동의 총점 및 하위요인 간의 상관성이 있는 결과를 가졌다. 연구 결과를 바탕으로 노인들은 노화로 인해 감각처리능력과 안전운전행동의 어려움을 보이므로 이를 해결하기 위해서는 운전 행동에 관한 적절한 평가와 작업치료 중재가 필요하다고 사료된다.

• 대한안전경영과학회지
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• 제10권4호
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• pp.65-72
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• 2008

The Manchester Driver Behavior Questionnaire (DBQ) is the most commonly used frameworks for investigating the relationship between self-reported driving behavior and accident involvement. After Reason et al. introduced DBQ, there were many studies replicating the research of Reason et al. in many countries. There was, however, no study replication of the Reason's research in Korea. The aim of this study is to replicate the distinction among errors, lapses and violations, and to evaluate the relationship of these behaviors with road traffic accidents on Korean drivers. 223 Korean drivers completed the Korean version of original DBQ with questions regarding background information, such as age, gender, annual mileage and accident involvement. Participants answered self-assessment questions, also. Factor analysis revealed three factors like Reason et al. The three factors were dangerous errors, violations and relatively harmless errors.

• 한국ITS학회 논문지
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• 제16권3호
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• pp.28-38
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• 2017

연구는 보호/비보호좌회전(PPLT) 교차로에서 공격적 운전행태의 영향요인에 대한 분석을 군산시를 대상으로 한다. 로지스틱 회귀모형 결과 운전자의 나이와 운전경력이 증가할수록 비첨두시간대, 동승자가 없는 경우, 운전경력이 많은 경우, 승용차, 남성 등이 대향차량에 영향을 주는 공격적 운전행태를 보인 것으로 분석되었다. PPLT 교차로상에서 비보호 좌회전시 대향차량까지 충분한 거리가 확보되지 않을 경우 공격적 운전행태를 보이게 되는데 공격적 행태를 보인 운전자 속성과 대향차량까지 거리의 관계성을 분석하였다. 나이와 동행자수의 증가, 첨두시간대는 근거리에 위치해 있는 대향차량에 대해 영향을 주는 반면에, 남성 및 운전경력이 높을수록 중거리 및 장거리 대향차량에 영향을 주는 것으로 나타났다. 승용차 보다는 RV 및 대형차량이 거리가 먼 대향차량에 영향을 줄 가능성이 컸다.

• 산업경영시스템학회지
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• 제32권1호
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• pp.67-71
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• 2009

Using driving simulator, we analyzed the driving behavior of an older driver on intersection and measured the pychological load to HRV. As a results, older drivers started to enter the more complex intersection on a great distance and on low velocity for safety driving. On the other hand, the value of HRV would be lower on more complex intersections. It suggested that an older driver allowed for his own losses of physiological and cognitive function and recognized low level of driving confidence relatively.

• Safety and Health at Work
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• 제13권2호
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• pp.187-191
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• 2022

Background: Traffic injuries have become a significant public health problem in low- and middle-income countries. Several studies have examined the role of personality and attitude toward traffic safety in predicting driving behaviors in diverse types of drivers. Few studies have investigated risky behavior among public passenger van drivers. This study aims to identify the predictors of self-reported risky driving behavior among public van drivers. Method: A total of 410 public van drivers were interviewed at terminal stations in Bangkok. Hierarchical regression models were applied to determine the effects of demographics, personality traits, and attitude on self-reported risky driving behaviors. Results: The results indicated that drivers with a high education level, more working days, and high scores for normlessness and anger were more likely to report risky driving behaviors (p < 0.05). Conclusion: The personality traits and attitude toward speeding account for aberrant self-reported risky driving behavior in passenger van drivers. This could be another empirical basis for evidence-based road safety interventions in the context of public transport.

• 대한인간공학회지
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• 제29권5호
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• pp.735-739
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• 2010

Driving workload is increasing according to developing new in-vehicle devices and introducing driving information systems. In this research using a driving simulator, EFRP (Eye Fixation Related Potential) was measured for evaluating driving attention and distraction while tasking cognitive workload, n-back tasks. The result of EFRP was compared with driver behaviors. Results suggest that EFRP is able to use for a method of evaluating driving workload, however, the analysis of driver behavior is difficult to find driving attention and distraction in the case of free flow of traffic situation.

• International Journal of Internet, Broadcasting and Communication
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• 제14권2호
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• pp.119-128
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• 2022

Recently, due to the development of related technologies for autonomous vehicles, driving work is changing more safely. However, the development of support technologies for level 5 full autonomous driving is still insufficient. That is, even in the case of an autonomous vehicle, the driver needs to drive through forward attention while driving. In this paper, we propose a method to monitor driving tasks by recognizing driver behavior. The proposed method uses pre-trained deep convolutional neural network models to recognize whether the driver's face or body has unnecessary movement. The use of pre-trained Deep Convolitional Neural Network (DCNN) models enables high accuracy in relatively short time, and has the advantage of overcoming limitations in collecting a small number of driver behavior learning data. The proposed method can be applied to an intelligent vehicle safety driving support system, such as driver drowsy driving detection and abnormal driving detection.

• 한국컴퓨터정보학회논문지
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• 제22권8호
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• pp.33-39
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• 2017

In this paper, we propose a method which implements warning to drivers through real-time analysis of risky and unexpected driver and vehicle behavior using only a smartphone without using data from digital tachograph and vehicle internal sensors. We performed the evaluation of our system that demonstrates the effectiveness and usefulness of our method for risky and unexpected driver and vehicle behavior using three information such as vehicle speed, azimuth and GPS data which are acquired from a smartphone sensors. We confirmed the results and developed the smartphone application for validate and conducted simulation using actual driving data. This novel functionality of the smartphone application enhances drivers' situational awareness, increasing safety and effectiveness of driving.

• 대한인간공학회지
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• 제29권4호
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• pp.611-617
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• 2010

To find out why elderly drivers have more frequent traffic accidents on intersection than any other one, this study was conducted to examine the characteristics of elderly drivers' driving behavior on intersection using a multifaceted driving behavior indicator. To do that, the driving behavior of both young adult drivers and elderly drivers were compared and analyzed, using a graphic driving simulator. As a result, compared with young adult drivers, elderly drivers showed a poor driving performance, and a high ratio of visual scanning time on the specific direction regardless of driving situation. Also, compared with young adult drivers, elderly drivers had a high overall level of arousal, and the phasic arousal activity on the specific stimulus was low. These results imply that through the intervention which induces the change in multifaceted indicators mentioned earlier, they could be helped to drive more safely on intersection.

• 융합정보논문지
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• 제11권4호
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• pp.161-167
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• 2021

본 연구는 노인운전자의 운전능력을 선별하는 검사로서 이중과제가 활용될 수 있는지 확인하고자 노인운전자의 이중과제 수행과 운전 행동간의 상관관계를 알아보았다. 총 32명의 정상 노인운전자를 대상으로 일반적 정보 및 운전 관련 정보를 조사하고 이중과제 수행정도를 알아보기 위하여 Y-DuCog(Yonsei-Dual task Cognitive screening test)를 평가하였다. 운전행동 수준은 K-DBQ(Korean-Driving Behavior Questionnaire)설문을 사용하였다. 연구결과 페그꽂기 과제와 동물이름 말하기를 활용한 이중과제 수행이 K-DBQ의 위반영역의 점수와 유의미한 상관관계를 보였다. 본 연구로 운전능력 선별검사로서 이중과제의 가능성을 확인할 수 있었다.