• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.3
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• pp.102-111
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• 2012

Expresway traffic accident is fatal accident by high speed, especially human injury is a great social issue. This paper aims to identify characteristic differences of highway accidents that involve human injuries or not. To analysis the elements that affect the two types of accidents used the logistic regression model. The analysis showed that human injury accident rate is increased in case of straight road, flat, or cut-slope areas, barriers, male driver, and older driver. These results provide the ground for actions to counter the problems. By discovering factors for accidents leading to fatality, this study can provide important implications for authorities that establish highway safety measures and policies in preventing human injuries or deaths from car accidents.

• Journal of Korea Technology Innovation Society
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• v.20 no.4
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• pp.1036-1056
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• 2017

The rapid increase of ageing population and chronic disease patients cause high medical expenses, and it led an increased attention to digital healthcare. Smart car technologies for healthcare have been developing to recognize drivers' status and predict diverse driving environments. The present study aimed to understand the research trends of autonomous vehicle technologies of Korea and the United States through time series analysis, network analysis, visualization, and comparison between the two countries. The results suggest that cooperative study needs to be done in common research areas such as driver's safety and algorithms. It is also needed to conduct studies and benchmark about liking technique related to part-to-part and vehicle-to-vehicle as America's competitive advantaged area. In the US, diverse approaches of autonomous vehicle technologies have used to consider the characteristics of various age groups and passengers' health status through sensor, while in Korea, only one aspect, older drivers, is mentioned. Implications for the development direction of autonomous vehicle technologies with competitiveness in considering public health, ethics, and driver's safety and convenience are discussed in detail.

• The Journal of Korean Physical Therapy
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• v.30 no.5
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• pp.187-192
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• 2018

Purpose: This study compared the functional fitness and brake response of elderly and young drivers to confirm the correlation between the functional fitness and brake response. Methods: This study was a cross sectional observational design. Older drivers (>65age, n=21) and young adult drivers (20-40aged, n=20) were enrolled as subjects. The functional fitness of the subjects was measured using a senior fitness test consisting of a back scratch (BS), chair sit and reach (CSR), arm curl (AC), chair stand up (CSU), foot up and go (8-FUG), and 2-minute step (2-MS). The brake response used the virtual driving simulator to measure the brake reaction time (BRT) and braking distance (BD) according to the pedestrian protection and traffic signal compliance. Results: The older drivers had a lower BS (p<0.000), CSU (p=0.040), and 8-FUG (p=0.011) than the young adult drivers. BS and 8-FUG showed a significant positive correlation with the BRT and BD of pedestrian protection and traffic signal compliance. CSU showed a significant negative correlation with the BRT of pedestrian protection and traffic signal compliance. Conclusion: These findings suggest that the flexibility of the upper extremity, lower extremity strength, and agility are strongly correlated with the driving performance of elderly drivers.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.147-161
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• 2021

The purpose of this study was to investigate the psychological state and driving safety of drivers driving around the truck platoon driving. Using the driving simulator, the experimental environment was constructed with the situation of changing lanes to the platoon and driving within the platoon. We tried to qualitatively and quantitatively analyze the driver's psychological state and driving safety through simulation driving experiments. As a result, in the case of the older driver group, there were many cases where they judged themselves to be driving safely, even though they were driving dangerously in the actual lane change to the platoon or driving within the platoon. In particular, this group showed that the narrower the distance between vehicles, the greater the misrecognition. The results of this study are expected to be useful in deriving the optimum interval when the interval between platooning of trucks needs to be temporarily extended.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.31 no.1
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• pp.31-37
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• 2021

Objectives: The purpose of this study was to evaluate the level of workplace violence experienced by taxi drivers and identify the affected factors. Methods: Two hundred twelve taxi drivers were investigated for general characteristics and workplace violence was evaluated using K_WVSⓇ13. The data was collected from July to October 2020 through questionnaires. It was analyzed using t-test and ANOVA with SPSS WIN23.0. Results: Most of the taxi drivers were elderly and suffered from long hours of labor and low wages. After evaluating four sub-factors of workplace violence, 'psychological and sexual violence from customers', 'psychological and sexual violence from customers, supervisors, and coworkers' and 'physical assault from customers/supervisors/coworkers' were judged as risks. For 'psychological and sexual violence from customers, supervisors, and coworkers', the mean score by age was significantly higher for workers in their 70s or older and those with 30 years of experience compared to other age groups. In the case of 'psychological and sexual violence from customers', sales taxis were significantly higher than private taxis. Conclusions: It is necessary to develop a workplace violence prevention program suitable for the characteristics of taxi drivers in order to manage their physical and mental health. When establishing such a program, business type, age, and experience must be considered.

• Journal of Auto-vehicle Safety Association
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• v.14 no.4
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• pp.70-76
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• 2022

This paper investigates the effects of age, gender, and situational factors on take-over performance in automated driving. The existing automated driving systems still consider a driver as a fallback-ready user who is receptive to take-over requests. Thus, we need to understand the impact of situations and human factors on take-over performance. 34 drivers drove on a simulated track, consisting of one baseline and four event scenarios. The data, including the brake reaction time and the standard deviation of lane position, and physiological data, including the heart rate and skin conductance, were collected. The analysis was performed using repeated-measures ANOVA. The results showed that there were significant age, gender, and situational differences in the takeover performance and mental workload. Findings from this study indicated that older drivers may face risks due to their degraded driving performance, and female drivers may have a negative experience on automated driving.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.530-537
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• 2016

This study investigates frontal crashes, analyzes the driver's action related to the change of the collision direction and determines the severity of (bodily injury). This study was conducted from August, 2013, to January, 2014, and the data for the car damage and human body damage were collected by emergency medical teams. In terms of data collection, we collected the accident vehicle, crash direction, body damage, etc., based on the Korea In-depth Accident Study (KIDAS) and Injury Severity Score (ISS). We used Minitab 17 and SPSS 22.0 to do the frequency analysis and ANOVA. In the analysis results, the prevalence of frontal collisions was 55.8% and mostly occurred in the 12 o'clock direction. In the analysis of the frontal crash direction according to age, the average ages for the 11, 12 and 1 o'clock directions were $46.46{\pm}13.47$, $44.43{\pm}13.40$ and $52.46{\pm}12.04$, respectively, so the older age drivers had a high probability of the accident occurring in the 1 o'clock direction. In the analysis of men's frontal collision direction according to age, the average ages in the 11, 12 and 1 o'clock directions were $47.10{\pm}13.88$, $45.24{\pm}13.78$ and $55.73{\pm}13.38$, respectively, so older aged men had a high probability of having collisions in the 1 o'clock direction. However, the statistical analysis of the frontal crash direction according to age in women didn't show any meaningful trend. When comparing the ISS according to age of the men and women in the collision direction, the men were less likely to have a 12 o'clock collision when $ISS{\geq}9$ and more likely to have a 1 o'clock collision when ISS<9. As a result, frontal crashes are more likely to occur in the 12 o'clock direction and the ISS decreases because the likelihood of frontal crashes in the 1 o'clock direction increases with increasing age. Therefore, when men recognize that they are heading for a 12 o'clock direction collision, they try to steer to the left to reduce the body damage.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.5
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• pp.827-835
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• 2017

With the rapid progress of ageing several issues concurrently occur, and one important social issue that must be resolved is accidents involving Elderly drivers. Efforts to reduce the frequency of such accidents is a must in order to be prepared to face a superaged society. Currently people aged 65 or older are prescribed as an "Elderly person." Therefore, various studies concerning accidents involving Elderly drivers apply this age criteria to separate regular drivers and Elderly drivers. However, there is no criteria to practically discern Elderly drivers with certain physical features as vulnerable road users based on a level of acceptable accuracy. Therefore, this studies intends to compare the possibility of accidents by age group of Elderly drivers by correlation analysis to analyze the accident characteristics by age group. Results showed that for drivers aged 75 and older, their influence on major accident characteristics by vehicle type increased with higher age groups. In particular, passenger cars had a relatively low accident frequency rate for drivers aged between 70 and 80, but for drivers aged 75 to 84, they had higher influence on accidents for the same vehicle type. This demonstrates that as ageing progresses and the average life expectancy increases, the age span of elders continues to increase, meaning that characteristics differ by age group among the aged. This study confirmed that the influence on the possibility of accidents differs by age group among the aged.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.1
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• pp.16-27
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• 2016

This study identified the factors which affect pedestrian behavior using the tobit model with a descriptive analysis. Individual characteristics, household characteristics, zone characteristics were selected as the independent variables. Walking frequency and walking time was adopted for the variables which represent walking behavior. The results showed that the walking time models were superior than the walking frequency models. The model for education purpose had the most lowest fitness and the model for others purpose had characteristics mixed up the various purposes. Futhermore, this research found that independent variables: individual, household and zone characteristic variables affected walking activities of elderly pedestrian by purpose. The walking activity decresed when a pedestrian grew older or had a vehicle or a driver's license. The Elderly facilities promoted the walking activity of seniors. As the floor area of neighborhood and business facilities was wide, the walking activities were animated. In addition, the compacted downtown developments decreased the elderly's walking activities, so it is needed to consider those results in terms of the urban planners.

• Journal of the Ergonomics Society of Korea
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• v.29 no.5
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• pp.783-788
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• 2010

This study was to examine to the CNS(Central Nervous System) responses of elderly drivers at the green, yellow, and red signal types. To examine this result, the older adults over age 65 who has more than 5 years of driving experience participated this experiment. In addition, we used audio-visual film clips as the stimulus than driving simulator, because the CNS reponses are sensitive to movement such as steering wheel. While subjects were watching one car's driving among green, yellow, or red signal types at the intersection, we measured their EEG(electroencephalogram) using monopolar electrodes from Fz, Cz and Pz sites. As a result, relative sizes of beta waves were changed due to the signal type conditions, and pre- and post-time of entering the intersection at the measured sites, separately. It suggests that the elderly drivers' CNS responses were different by the signal types.