• 대한안전경영과학회지
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• 제22권1호
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• pp.9-14
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• 2020

Artificial intelligence (AI) has been applied to most industries by enhancing automation and contributing greatly to efficient processes and high-quality production. This research analyzes the applications of AI-based automobile accident prevention systems. It deals with AI-based collision prevention systems that learn information from various sensors attached to cars and AI-based accident detection systems that automatically report accidents to the control center in the event of a collision. Based on the literature review, technological and institutional changes are taking place at the national levels, which recognize the effectiveness of the systems. In addition, start-ups at home and abroad as well as major car manufacturers are in the process of commercializing auto parts equipped with AI-based collision prevention technology.

• 대한인간공학회지
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• 제36권3호
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• pp.231-244
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• 2017

Objective: This study aims to understand the occupational injury characteristics of the workers in the motor vehicle parts (automobile parts) manufacturing industry and to present basic guidelines on accident prevention through accident analysis. Background: There occur many occupational injuries in the motor vehicle parts manufacturing industry. But there were few researches for the occupational injuries of the workers in the motor vehicle parts manufacturing industry. Method: This study analyzed the data of occupational injuries of 1,609 workers in the motor vehicle parts manufacturing industry in 2015. The accident characteristics were analyzed by dividing them into worker related factors and accident related factors. Results: Among the occupational injuries of the workers in the motor vehicle parts manufacturing industry, 80.6% of the victims were males, 64.0% were older than 40. 57.8% of the victims were employed by the companies with less than 50 workers. In addition, there was a difference in accident characteristics according to age, work experience, employment type, events or exposures, accident time of the day, agents, natures of injuries and illnesses, injured organs and injured body part. Conclusion: It is important to prevent equipment/machinery accidents. For this purpose, more efforts should be made to establish safety measures faithful to the basics of safety devices and safety work procedures. It is also suggested that prevention of disasters should be intensively carried out for workplaces with less than 50 employees and middle-aged and elderly people. Application: The result can be used to present guidelines for preventative measures for the workers in the motor vehicle parts manufacturing industry including safety education/training.

• 자동차안전학회지
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• 제10권2호
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• pp.50-55
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• 2018

Choosing automobile safety options is price-performance matter. The best fit options to buyer who has a certain driving habit are problem of MCDM (Multi Criteria Decision Making) because price of safety option, statistics of relating accident, consequence of accident, and driving habit are the multi criteria to be evaluated. In this paper, PROMETHEE-GAIA methodology is applied for solving this MCDM problem. The result shows that a different driving habit makes different choosing priority of safety options.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2007년도 추계학술대회
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• pp.457-461
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• 2007

This study presents service quality systems such as automobile industry insurance, personal accident insurance service vehicle repair and tow services, and, the service for buying and selling of used motor vehicles. These service quality systems include contracting services, payment service, infrastructure, adjustment service, and, process.

• 한국자동차공학회논문집
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• 제23권6호
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• pp.615-622
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• 2015

Recently Digital-TachoGraph(DTG) was mounted mandatorily in commercial vehicles(Taxi, Bus, etc.). DTG records accurate and detailed information of the running state of vehicles related to traffic accident, such as Time, Distance, Velocity, RPM, Brake ON/OFF, GPS, Azimuth, Acceleration. Thus those standardized data can play an important role in traffic accident investigation and reconstruction. To develope the accurate and objective method using the DTG data for the reconstruction of traffic accident, we had conducted several tests such as driving test, high speed circuit test, braking test, slalom test at Korea Automobile Testing & Research Institute(KATRI), and collision test at Korea Automobile insurance repair Research and Training center(KART) with the vehicle equipped with several DTG. Development of the program which enables the reading and analysis of the DTG data was followed. In the experiments, we have found velocity error, RPM error, brake signal error and azimuth error in several products, and also non-continuous event data. The cause of these errors was deduced to be related to the correction factor, the durability of electronic parts and the algorithm.

• 한국자동차공학회논문집
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• 제6권2호
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• pp.178-190
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• 1998

We have developed a planar impact model with a capability of reverse calculation to reconstruct various types of automobile collisions. This topic is the main part of what is referred to as accident reconstruction. The model uses the principle of impulse and momentum, and introduces a restitution coefficient and an impulse ratio at the impact center. Based on the car-to-car collision test results, we present how to estimate the restitution coefficient and the impulse ratio from some impact conditions. To validate the model and improve its reliability in accident analysis, the collision analysis has been performer with the estimated parameters. The analysis and experimental results agree well in the kinetic energy loss and the post-impact velocity.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.175-176
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• 2019

본 논문에서는 진출색(advancing color)과 후퇴색(receding color)의 의미와 자동차 사고와의 어떤 관계가 있는지 알아본다. 진출색이 사고가 적고 후퇴색이 사고가 많다. 진출색과 후퇴색은 동일 위치에서 어떤 색과 배경색과의 관계로서 알 수 있다.

• 한국자동차공학회논문집
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• 제22권2호
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• pp.29-36
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• 2014

The accident statistics use the data from police accident reports and statistics. Although the official accident statistics are useful, they provide very limited information about how accidents occur, the cause of the accident and the injury mechanisms. This limitations could be overcome by carrying out the in-depth accident study and analysing investigations, collecting more detailed information. Meanwhile a net of in-depth investigation teams are operating worldwide, such as NASS (National Accident Sampling System) and CIREN (Crash Injury Research and Engineering Network) in US, OTS (On the spot investigation) in UK. In this study, the database structure and variables of Korea in-depth accidents investigation system would be proposed through considering the database structure of GIDAS (Germany In-Depth Accidents Study). GIDAS is one of the best system on the in-depth accident study system in the world. GIDAS was established in 1999 as a cooperation project between Federal Highway Research Institute of Germany (BASt) and research association on automotive engineering of German Car Industry(FAT). The iGLAD (Initiative for the Global Harmonization of Accident Data) was also considered to introduce into the database variables of Korea in-depth accident study. Current police reports were compared with GIDAS and iGLAD. To collaborate of the Worldwide in-depth accident data, this paper proposed that the database of Korea in-depth accident study would be introduced the structure of GIDAS and the core variables of iGLAD. Harmonization of the structures and core variables of Korea in-depth accident study will be better than the making unique ones. The database structure and core variables of KIDAS(Korea In-Depth Accident Study) introduced of GIDAS and iGLAD.

• 대한교통학회지
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• 제28권3호
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• pp.119-130
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• 2010

교통사고의 재구성 해석은 도로와 사고흔적, 자동차 손상 등 다양한 자료들을 분석함으로서 이루어진다. 대부분의 자료들은 사고 해석에서 변수로 작용하며, 측정으로부터 구해지는 자료들은 조사자와 도구, 주어진 환경 등에 의해 측정 오차가 발생된다. 따라서 사고해석에서는 측정 오차에서 비롯되는 불확실성이 항상 존재한다. 본 연구는 불확실성이 존재할 가능성이 매우 높은 도로 기하구조와 타이어 흔적 등 길이와 마찰계수 등에 대해 반복 측정 실험을 함으로서 교통 사고해석에서의 불확실성을 정량화하였다. 또한 자동차 충돌 변형량의 사진 계측에 대한 불확실성에 대해서도 해석 결과를 제시하였다. 이러한 통계학적 분포들은 사고 재구성 불확실성을 추정하기 위해 입력 계수의 적절한 범위를 결정하는 것을 도울 수 있다.

• 의료법학
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• 제10권2호
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• pp.287-307
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• 2009

A person is injured in car accident caused by his/her slight negligence except he / she causes accident by his / her willfulness or gross negligence. Because the National Health Insurance Corporation (hereinafter called "Corporation") shall not provide any insurance benefit "when he has intentionally or through gross negligence caused a criminal conduct or intentionally contributed to the occurrence of an accident" referred to in Article 48 (1) 1 of the National Health Insurance Act. So, if he / she is insured by his / her own bodily injury coverage, he / she can be compensated for his / her medical expenses. The injured have the rights to file either National Health Insurance claim and Automobile Insurance claim but there is no clear and definite adjustment clause. The claim disputes between National Health Insurance (hereinafter called "NHI") and Automobile Insurance (hereinafter called "AI") in the own bodily injury coverage makes some problems. Firstly, there are some differences in co-payments which he / she chooses between NHI and AI. Profit per a patient is higher in the NHI than in the AI. Secondly, it can provoke criticism that people shall unnecessarily pay double contributions. Lastly, it can raise moral hazards. For example, if he / she can cover the compensations when the insured receives the compensations from his / her insurer, the Corporation can be claimed by medical care institution payment of the health care benefit costs. In conclusion, first of all, to improve the national health and preserve the insured's rights the Corporation shall keep notice these facts.