• Journal of Auto-vehicle Safety Association
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• v.13 no.3
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• pp.78-85
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• 2021

Recently a traffic accident of heavy duty vehicles under the mandatory installation of ADAS (Advanced Driver Assistance System) is often reported in the media. Heavy duty vehicle accidents are normally occurring a high number of passenger's injury. According to report of Insurance Institute for Highway Safety, FCW (Forward Collision Warning) and AEB (Automatic Emergency Braking) were associated with a statistically significant 12% reduction in the rate of police-reportable crashes per vehicle miles traveled, and a significant 41% reduction in the rear-end crash rate of large trucks. Also many countries around the world, including Korea, are studying the effects of ADAS installation on accident reduction. Traffic accident statistics of passenger vehicle for business purpose in TMACS (Traffic safety information Management Complex System in Korea) tends to remarkably reduce the number of deaths due to the accident (2017(211), 2018(170), 2019(139)), but the number of traffic accidents (2017(8,939), 2018(9,181), 2019(10,095)) increases. In this paper, it is introduced a traffic accident case that could lead to high injury traffic accidents by being equipped with AEB in a bus. AEB reduces accidents and damage in general but malfunction of AEB could occur severe accident. Therefore, proper education is required to use AEB system, simply instead of focusing on developing and installing AEB to prevent traffic accidents. Traffic accident of AEB equipped vehicle may arise a new dispute between a driver's fault and vehicle defect. It is highly recommended to regulate an advanced event data recorder system.

• Journal of Korean Society of Transportation
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• v.23 no.1
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• pp.33-44
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• 2005

Railroad crossing crashes are fewer than road crashes, but with regard to crash severity, they can be serious injury crashes. There should be, therefore, enormous efforts to increase the safety of railroad crossings. The objective of this paper is to identify and understand factors associated with railroad crossing crashes. Statistical models are used to examine the relationships between crossing accidents and geometric elements of crossings. The results show the Poisson model is the most appropriate method for the crossing accidents, because overdispersion was not observed. This study identifies seven significant factors associated with railroad crossing crashes through the main and variant models. With regard to explanatory factors on crossing safety, the total traffic volume, daily train volume, presence of commercial area around crossings, distance of train detector from crossings, time duration between the activation of warning signals and gates, crossing types, and speed hump were found to affect the safety of railroad crossings.

• Journal of Trauma and Injury
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• v.28 no.3
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• pp.98-103
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• 2015

Purpose: To compare injury sustained and severity of child occupant according to the types of safety restraint systems in motor vehicle crashes. Methods: This was a retrospective observational study. The study subjects were child occupants under the age of 8 years who visited a local emergency center following a motor vehicle crash from 2010 to 2014. According to safety restraint: child restraint systems (CRS), belted, and unbelted, we compared injuries sustained and injury severity using the maximal Abbreviated Injury Scale (MAIS) and Injury Severity Score (ISS), and analyzed the characteristics of severe injuries (AIS2+). Results: Among 241 subjects, 9.1% were restrained in CRS, 14.5% were only belted, and 76.3% was unbelted at the time of the crashes. Fourteen had severe injuries (AIS2+), all of whom didn't be restrained by CRS. Injuries in face and neck were the highest in unbelted group, and MAIS and ISS were the lowest in CRS group. Conclusion: Among safety restraint systems for child occupant in motor vehicle crashes, the CRS have the preventive effect of face and neck injuries, and are the most effective safety restraint systems.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.179-189
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• 2019

Korea's transportation paradigm is shifting from a vehicle-centered to a pedestrian-oriented society. Therefore, the interest in pedestrian safety and the improvement of pedestrian environment is also increasing. However, the level of traffic safety in Korea is still severe. It is needed to improve pedestrian safety and pedestrian environment. This study studied pedestrian-vehicle accident data provided by the Traffic Accident Analysis System(TAAS) for 2013-2015 to build a safe walking environment around school zones, and the relation between the school zones and pedestrian-vehicle traffic accidents were identified through the geographic information system(GIS) and spatial regression model. The main results are as follows. First, both road and public transportation factors are likely to increase pedestrian traffic accidents in school zones. Second, regarding land-use factors, residential, commercial, and industrial areas are found to increase pedestrian traffic crashes. On the other hand, mixed use is likely to play a role on the reduction of pedestrian traffic accidents. Finally, it has been shown that high development density also has a positive effect on pedestrian traffic accidents in school zones.

• International Journal of Highway Engineering
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• v.14 no.1
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• pp.63-72
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• 2012

While the number of crashes and fatalities has decreased for the last few decades, the proportion of elderly-involved crashes has continuously increased from 19.5% in 2001 to 29.6% in 2008. This paper aims to evaluate the effectiveness of traffic safety education to seniors, which has been conducted for the purpose of providing more systematic knowledge such as safety regulations and making the elderly more aware of the risks of crashes, and eventually to reduce elderly-involved crashes. First, we investigated the levels of traffic safety knowledge of the elder people who attend senior community centers and social welfare centers in Seoul and provided traffic safety education. Then, the effectiveness of traffic safety education was evaluated by using the before-and-after analysis. We set up two different groups to improve the reliability of evaluation: one for control group and the other for comparison group. The results showed that the average scores of the control group after education were significantly improved at the 95% significance level compared to the average scores before education, whereas the comparison group did not show a significant differences in the average scores before and after education except for two questions. This indicates that the levels of traffic safety knowledge of the control group have been improved through education and therefore, the safety education seem to be effective to some extent.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.39-46
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• 2022

As the link between traffic accidents and social and economic losses has been confirmed, there is a growing interest in developing safety policies based on crash data and a need for countermeasures to reduce severe crash outcomes such as severe injuries and fatalities. In this study, we select Daejeon city where the relative proportion of fatal crashes is high, as a case study region and focus on the severity of pedestrian crashes. After a series of data manipulation process, we run machine learning algorithms for the optimal model selection and variable identification. Of nine algorithms applied, AdaBoost and Random Forest (ensemble based ones) outperform others in terms of performance metrics. Based on the results, we identify major influential factors (i.e., the age of pedestrian as 70s or 20s, pedestrian crossing) on pedestrian crashes in Daejeon, and suggest them as measures for reducing severe outcomes.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.85-96
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• 2023

The number of traffic accidents caused by wet or icy road surface conditions is on the rise every year. Car crashes in such bad road conditions can increase fatalities and serious injuries. Historical data (from the year 2016 to the year 2020) on weather-related traffic accidents show that the fatality rates are fairly high in Korea. This requires accurate prediction and identification of hazardous road conditions. In this study, a forecasting model is developed to predict the chances of traffic accidents that can occur on roads affected by weather and road surface conditions. Multiple deep learning algorithms taking into account AlexNet and 2D-CNN are employed. Data on orthophoto images, automatic weather systems, automated synoptic observing systems, and road surfaces are used for training and testing purposes. The orthophotos images are pre-processed before using them as input data for the modeling process. The procedure involves image segmentation techniques as well as the Z-Curve index. Results indicate that there is an acceptable performance of prediction such as 65% for dry, 46% for moist, and 33% for wet road conditions. The overall accuracy of the model is 53%. The findings of the study may contribute to developing comprehensive measures for enhancing road safety.

• Transactions of the Korean Society of Automotive Engineers
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• v.19 no.2
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• pp.12-19
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• 2011

Real-world accident cases were investigated to understand injury characteristics of the elderly driver. A total 10 cases of car-to-car frontal crash accidents from passenger car including SUV claimed to domestic car insurance company were reviewed. The injury characteristics of the elderly were analyzed from personal information (gender, age), medical treatment record (medical certificate, curative days), vehicle information (model, air-bag, seatbelt) and damage information. This study showed that elderly driver has higher possibility of thorax injury than non-elderly's. Moreover, Injury type and severity were more severe than non-elderly driver at similar type accident conditions. Also, elderly driver's medical treatment period needs 3 times more than non-elderly driver's.

• Journal of Auto-vehicle Safety Association
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• v.11 no.3
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• pp.43-47
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• 2019

Developed countries are operating an in-depth database in motor vehicle crashes nationwide. They do not rely solely on the police investigation reports that are responsible for motor vehicle crashes in each country but are developing into a useful database by expanding the categories of data through more indicators addition. In Korea, after implementing comprehensive measures to reduce traffic accident deaths in 2013, the medical centers participated in establishing the actual accident investigation system, which was called as the Korean In-Depth Accident Study (hereinafter KIDAS). This KIDAS database included more in-depth indicators as the types of accidents, types of vehicles, the injury severity, adequacy of safety devices, seating position of passengers. Although there are difficulties in establishing an actual accident investigation system including data collection due to various restrictions, if the system can cooperate with each other such as medical centers, insurance companies, police, fire and rescue services, towing companies, and car repair shops in the future, It would be expected to contribute to the development of safer vehicle, treatment system and traffic safety policy that lower the injury severity of occupant in the event of a motor vehicle crashes.

• Journal of Trauma and Injury
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• v.27 no.4
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• pp.101-107
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• 2014

Purpose: Recently, the population of elderly people has been increasing rapidly all over the world. The social activities of the aging population have increased, which has also increased the number of elderly patients injured in traffic accidents. Thus, we analyzed the characteristics of elderly patients involved in traffic accidents. Methods: This study was conducted retrospectively from July 2008 to March 2009 among trauma patients involved in traffic accidents who visited Wonju Severance Christian Hospital. Patients under 18 years of age and pregnant patients were excluded. We divided the patients in two groups, a geriatrics group and an adult group on the basis of an age of 65. We compared the types of traffic accidents, the locations of the accidents, the behaviors of the patients at the times of the accidents, the use of seat-belts, and alcohol consumption between the two groups. We calculated the Revised Trauma Score (RTS), Injury Severity Score (ISS), and Trauma and Injury Severity Score (TRISS) for each group. Results: Total number of the included patients was 903, and the number of elderly patients was 181 (mean age: $71.7{\pm}4.9$ years old). There were no significant differences in the initial vital signs, GCS (Glasgow Coma Scale), and RTS between the two groups. There were differences in the types and the locations of the crashes, the behaviors of the patients at the times of the accidents, the use of seat belts, and alcohol consumption between the two groups (p<0.05). The average ISS of the geriatric group was higher than that of the adult group ($9.66{\pm}10.11$ vs. $6.59{\pm}8.99$, p=0.004). The mortality was higher in the geriatric group (n=17,9%) than in the adult group (n=23,2%) (p=0.004). Conclusion: The numbers of mortalities and surgical procedures were greater within the elderly group than the adult group. The average ISS was higher in the geriatric group than in the adult group. The severity of injuries due to traffic accidents was higher in the geriatric group than it was in the adult group.