• Title/Summary/Keyword: car accident

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Understanding of Relation of Accident from Car Color (자동차 색상별 사고 관계 파악)

  • Shin, Seong-Yoon;Lee, Hyun-Chang
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.07a
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    • pp.89-90
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    • 2014
  • 본 논문에서는 진출색(advancing color)과 후퇴색(receding color)의 개념을 알고 자동차 사고와의 관계를 알아보았다. 실제보다 더 가까이 있는 것처럼 보이는 진출색은 사고가 적음을 알 수 있고, 멀리 있는 것처럼 보이는 후퇴색이 사고가 많이 나는 것을 알 수 있다. 진출색과 후퇴색은 같은 위치에서 어떠한 색과 배경색과의 관계로서 알 수 있다. 같은 위치에서 배경색보다 더 앞으로 튀어 나올 것 같은 느낌을 주는 색을 진출색이라 한다. 반대로 더 뒤로 물러나는 것 같은 느낌을 주는 색을 후퇴색이라고 한다.

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Comparisons of Injury Patterns of Far Side Impact Studies with the Various Types of Dummy (승객더미모델에 따른 Far side 충돌해석에서 상해비교분석)

  • Park, Jiyang;Youn, Younghan;KIM, Minyong;Kim, Inbae;Shin, Jaekon;Lee, Eundok;RHEE, Zhangkyu
    • Journal of Auto-vehicle Safety Association
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    • v.9 no.1
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    • pp.32-36
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    • 2017
  • In order to reduce the damage of life and property caused by an automobile accident, we should design new car models and safety standard with reference to the data analysis and in-depth investigation of the accident. In-depth research and analysis of the current world other than the police investigation team (GIDAS, iGLAD, NHTSA, etc.) and collect in-depth data. Going to develop a safety policy to make it much safer cars based on this data. However, the country still does not have the advantage of KIDAS data Safety Policy Direction. In KNCAP tests, there is nothing in order to protect far side passengers even if far side impact causes approximately 50% injured people. Based on DBs like KIDAS (Korean In-Depth Accident Study) and GIDAS, far side passengers got injured as much as near side passengers did. So as to protect far side passengers, KNCAP has to change the test method of side crashes. In this study, injury severities to compare with ES-2, World SID and Thor dummies and the movements of far and near side passengers, SLED TEST was used.

Design for AEBS Test Scenario Applying Domestic Traffic Accidents

  • Choi, Yong-Soon;Lim, Jong-Han
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.1-7
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    • 2020
  • This study is a study on the development of AEBS test scenarios for traffic accidents in Korea, and was compared and analyzed using the Traffic Accident Analysis Program. To ensure the safety of passengers and pedestrians in traffic accidents, the number of cars equipped with ADAS is increasing rapidly at all car manufacturers in each country. For traffic accidents used in this study, the domestic traffic accident database (ACCC) produced by SAMSONG was used. Domestic traffic accidents differ from overseas traffic accidents in terms of road type, signal system, driver's seat location and number of vehicles. ACCC databases, which supplemented and reinforced these differences, built a database based on the PC-CRASH program. In the study, we analyze the types of accidents to develop comparative scenarios for each type of road and collision type of traffic accidents. When the road types of traffic accidents in Korea were divided into five types and the collision types were divided into six, it was confirmed that the most types of FRONT-SIDE crashes appeared at the intersection. It is expected that the frequency of possible traffic accidents and collision types can be predicted according to the road type in the accident database, we that it can be used as an AEBS test scenario development suitable for the domestic road environment.

Collision Detection Algorithm using a 9-axis Sensor in Road Facility (9축센서 기반의 도로시설물 충돌감지 알고리즘)

  • Hong, Ki Hyeon;Lee, Byung Mun
    • Journal of Korea Multimedia Society
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    • v.25 no.2
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    • pp.297-310
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    • 2022
  • Road facilities such as CCTV poles have potential risk of collision accidents with a car. A collision detection algorithm installed in the facility allows the collision accident to be known remotely. Most collision detection algorithms are operated by simply focusing on whether a collision have occurred, because these methods are used to measure only acceleration data from a 3-axis sensor to detect collision. However, it is difficult to detect other detailed information such as malfunction of the sensor, collision direction and collision strength, because it is not known without witness the accident. Therefore, we proposed enhanced detection algorithm to get the collision direction, and the collision strength from the tilt of the facility after accident using a 9-axis sensor in this paper. In order to confirm the performance of the algorithm, an accuracy evaluation experiment was conducted according to the data measurement cycle and the invocation cycle to an detection algorithm. As a result, the proposed enhanced algorithm confirmed 100% accuracy for 50 weak collisions and 50 strong collisions at the 9-axis data measurement cycle of 10ms and the invocation cycle of 1,000ms. In conclusion, the algorithm proposed is expected to provide more reliable and detailed information than existing algorithm.

Bilateral Traumatic Rupture of Diaphragm - 1 Case Report - (양측에 발생한 외상성 횡격막 파열;1례 보고)

  • Lee, Taek-Yeon;Park, Yeong-Sik;Kim, Gwang-Ho
    • Journal of Chest Surgery
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    • v.25 no.9
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    • pp.916-920
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    • 1992
  • Bilateral traumatic rupture of diaphragm is very rare. One case due to car accident is reported. Preoperative chest X-ray revealed the diaphragm rupture in the left side and the hemothorax in the right side. During the completion of left diaphragm repair through left thoracoabdominal incision, right diaphragm rupture was found incidentally. Left diaphragm was repaired using pledgets which were anchored at the thoracic wall. Right diaphragm was also repaired by interrupted Halsted sutures through seperated right thoracotomy. Postoperative course was uneventful.

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Comparing with Quantification Analysis of Car-Accident Traits and Personality Types (자동차 사고성향의 수량화 분석과 성격특성의 비교)

  • 고병인;임현교
    • Proceedings of the Korean Institute of Industrial Safety Conference
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    • 2000.06a
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    • pp.270-275
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    • 2000
  • 본 연구는 다변량 통계분석을 이용하여 자동차사고성향에 대한 공통적인 특성을 찾아내고 그것이 심리적 성격특성과 관련이 있는가를 분석하고자 수행되었다. 이를 위하여 학생집단, 일반인집단 그리고 운전기사집단의 성격적 특성과 자동차사고경험 혹은 그 가능성을 비교 검토하였다. KG식 일반생활질문지에 의한 설문분석결과에 따르면 사고친화성향에 따라 2개의 집단으로 분류하는 것이 타당하다고 판단되었고, 수량화분석에 의해서도 집단을 구분할수 있었지만 일반인과 운전자 집단간에는 차이가 있었다.

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Verifying Car Accident - Color (자동차 사고 규명-색상별)

  • Choi, Jae-Gab;Shin, Seong-Yoon;Rhee, Yang-Won
    • Proceedings of the Korea Contents Association Conference
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    • 2016.05a
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    • pp.407-408
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    • 2016
  • 본 논문에서는 자동차 색상별 사고 관계를 규명하도록 한다. 사고 관계는 진출색과 후퇴색의 개념을 알아야 한다. 실제보다 가까이 있는 것처럼 보이는 진출색은 사고가 작다. 하지만 더 멀리보이는 후퇴색을 사고가 많이 발생함을 알 수 있다.

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A Preliminary Study on the Electric Corrosion at Electrified Railroad (지하전철구간 전기부식 특성에 관한 기초연구)

  • Lee Cheul-Kyu;Jung Woo-sung;Lee Duck-Hee
    • Proceedings of the KSR Conference
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    • 2004.10a
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    • pp.151-156
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    • 2004
  • Although insulation equipment is installed, it is inevitable to avoid the stray current because rail is the return way of the direct current that is power of electric motor car. In this paper, by the investigation of the present state of underground facilities, and looking into the reason of electric corrosion, and analysis of corrosion accident cases of inside and outside of the country, fundamental data, to reduce of stray current and to prevent electric corrosion, were accumulated to enhance the safety of railway operation service.

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Survey of Distinction of Black Ice Using Sensors (센서를 활용한 블랙 아이스 탐색 기법 고찰)

  • Kim, Jinyoung;Lee, HyeJin;Paik, Juryon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.01a
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    • pp.79-81
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    • 2020
  • 최근 블랙 아이스에 의한 사고 사례가 많다. 블랙 아이스는 사람의 눈으로 식별하기 힘들고, 보인다 하더라도 도로가 조금 젖은 것으로 판단할 가능성이 높아 차량 사고를 유발할 확률이 높다. 본 논문에서는 블랙 아이스로 인한 사고를 조금이라도 줄이기 위해 센서를 통하여 블랙 아이스를 판별하고 사전 예방할 수 있는 방법과 해결책에 대해 고찰해보고자 한다.

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The Analysis of Factors affecting Expressway Accident Involving Human Injuries using Logit Model (로짓모형을 활용한 고속도로 인적피해에 영향을 주는 요인분석)

  • Seo, Im-Ki;Lee, Ki-Young;Lee, Seong-Kwan;Park, Je-Jin
    • 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.