• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.6
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• pp.1441-1448
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• 2013

The propose of this study is to apply establish the foundation for development of elder driver friendly smart cluster. At first, vehicle dashboard trends were analyzed. Secondly, we presents the structure of elder driver friendly smart cluster and explains android based meter cluster. also, we shows the implementation details and experimental result of elder driver friendly smart cluster system. And we presents a summary and conclusions.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.4
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• pp.1591-1601
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• 2013

In this study, It is conducted for novice drivers about driving behavior and psychological characteristics analysis to reduce traffic accident risk and provide the basic data of education program development. Therefore, this study classified by the category-specific characteristics and hazard prediction through survey of the novice driver and unpredictable behavior and psychological characteristics were studied. The novice and general characteristics and driving behavior with vehicle simulators, comparison and analysis of the novice driver traffic safety education basic research direction based on the statistical results. Prediction the results of this study, the Hazard of the driver, speeding, traffic violation, information providing omission, abrupt change, the number of accidents in all areas novice driver is high compared to the general driver. In addition, Novice driver showed a statistically significant level of Hazard compared to the general driver target novice drivers and the general ability to predict Hazard of violation, abrupt change, and a number of traffic accidents were omitted level of speeding and other information providing level drivers all showed similar results. Vehicle simulator. The experimental results showed that novice drivers compared to drivers poorly overall driving performance. It showed a notable difference in the number of collisions, especially novice drivers compared to drivers in complex road traffic conditions due to a lack of driving experience and learning ability are considered.

• 한국ITS학회:학술대회논문집
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• v.2006 no.10
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• pp.242-248
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• 2006

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.3
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• pp.361-370
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• 2017

In this paper, correlation analysis was performed between questionnaire and machine learning based aggressive tendency measurements. this study is part of a aggressive driver detection using machine learning and questionnaire. To collect two types tendency from questionnaire and measurements system, we constructed experiments environments and acquired the data from 30 drivers. In experiment, the machine learning based aggressive tendency measurements system was designed using a driver behavior detection model. And the model was constructed using accelerate and brake position data and hidden markov model method through supervised learning. We performed a correlation analysis between two types tendency using Pearson method. The result was represented to high correlation. The results will be utilize for fusing questionnaire and machine learning. Furthermore, It is verified that the machine learning based aggressive tendency is unique to each driver. The aggressive tendency of driver will be utilized as measurements for advanced driver assistance system such as attention assist, driver identification and anti-theft system.

• Korean Journal of Culture and Social Issue
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• v.18 no.3
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• pp.415-433
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• 2012

This study was conducted in order to explain the effect of driving behavior determinants such as drivers' personality and attitude that may induce risky driving behavior and to develop a valid method for discriminating risky drivers using the determinants. In the results of surveying 534 adult drivers, 5 driving behavior determinants (avoidance of problems, benefit/stimulus seeking, interpersonal anxiety, interpersonal anger, and aggression) were found to have a statistically significant effect on drivers' various risky driving behaviors. Using these factors, drivers were grouped according to risk levels (normal drivers, unintentionally risky drivers, and intentionally risky drivers). This result suggests that drivers' dangerous behavior level can be predicted using psychological factors such as their personality and attitude. Accordingly, if the driving behavior determinant model and the base score system used in this study are improved through further research, they are expected to be useful in predicting drivers' recklessness in advance, identifying problems, and providing differentiated safe driving education services based on the results.

• Korean Journal of Culture and Social Issue
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• v.12 no.4
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• pp.37-53
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• 2006

This study examined the perception of driving ability of drivers under stressful situation and it attempted to collect the base data in an effort to prevent the traffic accidents by the women drivers. For this purpose, 180 drivers residing in the Seoul and Gyeonggi region were selected to find out how they perceive their driving ability and driving ability of the others, and in particular, study was focused on in what kind of situation female drivers felt most stress out. Looking in relation to the driving ability, female drivers tend to assess overly high on driving ability of male drivers while making excessively low on the abilities of other female drivers. Looking into the stress of female drivers while driving, the female drivers experience more stress during driving compared to the male drivers. This type of result indicates that the women lack the confidence on driving abilities while experiencing severe stress on the driving performance.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.3
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• pp.25-35
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• 2011

Traffic volume increases due to diversification of industry. Also, Automobile ownerships also increase steadily. It is estimated that the registered number of vehicle is expected to be 20 milion in the year 2015. These trends may result in increasing the number of woman drivers and elderly drivers. Therefore, this study aims to identify routes that reflect characteristics of each driver's preferences. A survey was conducted on different routes attributes for variances drivers. Driver types were classified by gender, age, and driving career. Accordingly, a weight for road composition attribute such as number of lanes, number of accidents, slope was estimated by using Swing Weighting technique in Multi-Attribute Utility Theory. In addition, a case study was conducted and identified weights were applied to routes. In result, drivers commonly prefer short route when they considered their routes. Also, male drivers prefer speedy and shorter route than that of female drivers. Elderly drivers prefer safe routes that represent low accidents rate. Moreover driving career under a year drivers prefer safe and easy routes. Therefore, we may conclude that the necessity of diversified route information is essential in the future car navigation system.

• Korean Journal of Culture and Social Issue
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• v.21 no.3
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• pp.457-479
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• 2015

This study investigated the differential effects of subjective evaluation for attention and situation adaptability, and motivation on driving mobility as a function of driver's age. The results can be summarized as followings. First, subjective capability evaluation tended to decrease as the drivers' age increased, and lower evaluation for situation adaptability seemed to be recognized earlier than attentional ability in middle-aged drivers. Second, although subjective evaluation for attentional ability predicted positively driving mobility of all age groups, but only subjective evaluation for situation adaptability predicted positively driving mobility of older drivers. Third, among motivational elements, BAS predicted positively driving mobility of young and middle-aged driviers, whereas BIS predicted positively driving mobility of older drivers. Finally, middle-aged drivers tended show increased driving mobility when their attentional ability score and BAS were high, whereas older drivers showed lowest level of driving mobility when their situation adaptability score and BIS were low. These results suggest importance of integrated consideration for drivers' subjective evaluation for attention and situation adaptability, and motivation to understand characteristics of driving mobility in different age groups.

• Journal of Korean Society of Transportation
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• v.27 no.3
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• pp.17-28
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• 2009

To analyze the risk according to accident types by novice and experienced drivers, it is used the accidents data which occurred for 2 years(2005~2006) in Korea. It is defined that novice driver is a people who is not passed 1 year after getting a driving licence and experienced driver is a people who is passed 1 year in this study. It is used a risk model to compare and analyze about the risk between two groups. The risk model is developed to apply together two variables which is accidents frequency and severity. Then it is used a conceptual weight to find that proper rate between accident frequency and fatal accident frequency. It is found a weight($\omega=0.6$) to suitable value to apply a risk model. The results showed that collision with obstacles, angle collision($90^{\circ}$) types to novice driver group have bigger risk than experienced driver group.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.3D
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• pp.391-401
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• 2011

The Implementation Semi-Public Management System of Intra-City Bus brings improvements of the position stability, work environment and welfare of the bus drivers. As these benefits prevent drivers' job changes, average age of the drivers increases. Some side effects such as fatality increase after the implementation of the new system are becoming social problems. To minimize such problems, it is necessary to prepare the measurements reflected drivers' age increase and driving characteristics of old drivers to decrease traffic accidents of intra-city buses. The existing measurements are mostly simple policy. To get over such limitations, this study grasped driving characteristics by surveys and driving aptitude test targeting old drivers and non-old drivers who brings about traffic accidents actually. As a result, the characteristics of the old drivers were understood precisely. The measures of decrease of the traffic accidents are suggested by the analysis of the behavior characteristics of the old drivers through the structural equation model.