• 제목/요약/키워드: Car accidents

검색결과 406건 처리시간 0.253초

Analysis for Traffic Accidents against Car-Pedestrian on Simulation (시뮬레이션을 통한 차대 보행자의 교통사고 분석)

  • Chae, Hee-Hong;Lim, Jong-Han
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • 제12권3호
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    • pp.115-121
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    • 2012
  • In spite of serious injuries caused by traffic accidents of car-pedestrian, the dispute is constantly occurring and economic losses and mental suffering is escalating since the cause of accidents is not scientifically identified. This study reviewed vehicle dynamics, driving dynamics, collision dynamics, traffic and road engineering for traffic accidents analysis based on traffic accidents related physically objective evidence and analysed the cause of accidents by getting results which applied vehicle initial collision velocity before collision, processing trajectory, collision stance, vehicle velocity before & after collision and parameter by using PC-Crash program. I found that skid mark and collision velocity of car-pedestrian had the error of 11.2%, 2,27% compared to theoretical values.

Design and Implementation of Prototype model of Vehicle speed automatic variable control System (차량속도 자동화 가변 시스템의 프로트 타입 모델 설계 및 구현)

  • Choi, Sung-Jai
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • 제19권4호
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    • pp.47-54
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    • 2019
  • In the worldwide, The issue comes up which is the danger of car accidents from climate-change effects. We are considering about various types of speed limit signs for setting restricts to high-speed vehicles. South Korea has 4 seasons in the land. At Summer or Winter seasons have heavy rains and fogs or snow, In these seasons need to enforce speed limit laws or methods to prevent car collision. But South korea is using stationary speed limiters that is not enough to proof against rear-end car accidents in these climates. In this paper shows the necessity of independent LED speed limits display to reduce car accidents. And explaining the prototype model which is a combination of rain sensor and wiper systems. This model is independently changed the speed limits to 50%, 80%, 100% of standards by raindrops and snowflake. Also it is freely setting speed limits on each places anywhere it settled in. Visual effects of the model as being speed-down of vehicles helps to prevent rear-ending car accidents and traffic beforehand.

Development of Car HUD Navigation Using a Raspberry Pi (라즈베리파이를 이용한 차량용 HUD 내비게이션 시스템 개발)

  • Joo, Han-Wul;Choi, Sung-Moon;Choi, Won-Seok;Joo, Bokgyu
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • 제17권3호
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    • pp.175-181
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    • 2017
  • In this paper, we describe a design and development of car HUD(Head-Up-Display) navigation system using a Raspberry Pi. Car drivers can't concentrate on driving due to the use of various electronic devices, especially the car navigation systems installed in the cars. Therefore, car accident caused by not concentrating on the driving views is one of the most common accident types. In order to prevent the problems, HUD technology is used to help the driver to secure front views, thereby to minimize the traffic accidents caused by neglecting forward views. In this research, we propose the design and development techniques of a HUD navigation system using Raspberry Pi, and we believe that the commerical use of HUD navigation will grately reduce the risk of many car accidents.

Prediction of Severities of Rental Car Traffic Accidents using Naive Bayes Big Data Classifier (나이브 베이즈 빅데이터 분류기를 이용한 렌터카 교통사고 심각도 예측)

  • Jeong, Harim;Kim, Honghoi;Park, Sangmin;Han, Eum;Kim, Kyung Hyun;Yun, Ilsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • 제16권4호
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    • pp.1-12
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    • 2017
  • Traffic accidents are caused by a combination of human factors, vehicle factors, and environmental factors. In the case of traffic accidents where rental cars are involved, the possibility and the severity of traffic accidents are expected to be different from those of other traffic accidents due to the unfamiliar environment of the driver. In this study, we developed a model to forecast the severity of rental car accidents by using Naive Bayes classifier for Busan, Gangneung, and Jeju city. In addition, we compared the prediction accuracy performance of two models where one model uses the variables of which statistical significance were verified in a prior study and another model uses the entire available variables. As a result of the comparison, it is shown that the prediction accuracy is higher when using the variables with statistical significance.

Cargo Accident with Car Sharing in South Korea

  • Kwak, Young-Arm;Cho, Young-Sang
    • Journal of Distribution Science
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    • 제15권8호
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    • pp.29-36
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    • 2017
  • Purpose - This paper proposes some ideas with a view to reducing any possible accidents caused by unlicensed drivers and an illegal use of other's name, particularly by teenagers in consideration of easy and simple instruction on smartphone with very weak and mere consciousness on auto life. Research design, data, and methodology - This study analyzes some accident cases between cargo trucks and rental cars in South Korea, and unlicensed vehicle with unlicensed drivers who use rental cars collided with cargo trucks which were loaded a lot of goods to be delivered to buyer designated. In order to fulfill this research, a case study accompanied with literature survey was conducted. Ideal suggestion for the right growth on rental car industry will be realized by legislation of the law. Results - This paper classified bodily injury of the victim, property damage and damaged cargo arising out of the unlicensed who is driving on car sharing service in South Korea. Conclusions - For the purpose of reducing cargo accidents caused by unlicensed drivers and an illegal use of other's name particularly by teenagers, this paper proposes some ideas of Amendment of the law, Paradigm shift of car sharing company, Preparation by association side and Technical Complementary Measures in South Korea.

Pattern Analysis for Urban Spatial Distribution of Traffic Accidents in Jinju (진주시 교통사고의 도시공간분포패턴 분석)

  • Sung, Byeong Jun;Yoo, Hwan Hee
    • Journal of Korean Society for Geospatial Information Science
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    • 제22권3호
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    • pp.99-105
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    • 2014
  • Since traffic accidents account for the highest proportion of the artificial disasters which occur in urban areas along with fire, more scientific an analysis on the causes of traffic accidents and various prevention measures against traffic accidents are needed. In this study, the research selected Jinju-si, which belongs to local small and medium-sized cities as a research target to analyze the characteristics of temporal and spacial distribution of traffic accidents by associating the data of traffic accidents, occurred in 2013 with the causes of traffic accidents and location information that includes occurrence time and seasonal features. It subsequently examines the spatial correlation between traffic accidents and the characteristics of urban space development according to the plans of land using. As a result, the characteristics of accident distribution according to the types of accidents reveal that side right-angle collisions (car versus car) and pedestrian-crossing accident (car versus man) showed the highest clustering in the density analysis and average nearest neighbor analysis. In particular, traffic accidents occurred the most on roads which connect urban central commercial areas, high-density residential areas, and industrial areas. In addition, human damage in damage conditions, clear day in weather condition, dry condition in the road condition, and three-way intersection in the road way showed the highest clustering.

Intelligence Transportation Safety Information System

  • Hong, YouSik;Park, Chun Kwan;Cho, Seongsoo;Hong, Suck-Joo
    • International Journal of Internet, Broadcasting and Communication
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    • 제6권2호
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    • pp.20-24
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    • 2014
  • These days the large-scale car accidents have often been occurred by overspeeding in disregard of sharp curve, foggy and freezing regions. This paper has proposed the algorithm to calculate the safety speed in real time that can protect the car accidents under these weather and road conditions using Fuzzy reasoning theory. Under raining and snowing, drivers have to slow down the traffic safety speed by 1/3 of the traffic safety speed indicated on the existing speed sign plate based on their decision. So it is difficult to calculate and then observe the safety speed. This paper has performed the simulation that provides the deivers with the optimal safety speed considering the road and weather conditions in real time to improve these problems. We have proved this method can improve more 25% than the existing one.

Estimation of Traffic Accident Effectiveness of Zig-zag Marking Using a Comparison Group Method (C-G Method를 이용한 지그재그 노면표시의 교통사고 감소효과 분석)

  • Kwon, Seong-Keun;Lee, Young-Ihn;Cho, Song-Jun
    • International Journal of Highway Engineering
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    • 제14권6호
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    • pp.149-158
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    • 2012
  • PURPOSES : This research is to evaluate the effects of zig-zag marking. METHODS : Based on the literature review, This research adopt Comparison Group method which was developed by Hauer. RESULTS : The findings are as follows. Effectiveness of treatment at all site 1.06, intersection 0.92, median bus lane 1.93, school zone 0.50, below 6-lane 0.48, above 6-lane 1.19, cat vs person 0.57, car vs car 1.36, car only 1.29. CONCLUSIONS : Though the analysis, it was founded that zig-zag marking on the small scale road(below 6-lane) and school zone contribute to reduce traffic accidents(effectiveness of the treatment : 0.50, 0.48). But the accidents at large scale road and median bus lane where installed zig-zag marking demonstrated negative result.(effectiveness of the treatment indicates exceed 1.0).

Analysis of Traffic Accident using Association Rule Model

  • Ihm, Sun-Young;Park, Young-Ho
    • Journal of Multimedia Information System
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    • 제5권2호
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    • pp.111-114
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    • 2018
  • Traffic accident analysis is important to reduce the occurrence of the accidents. In this paper, we analyze the traffic accident with Apriori algorithm to find out an association rule of traffic accident in Korea. We first design the traffic accident analysis model, and then collect the traffic accidents data. We preprocessed the collected data and derived some new variables and attributes for analyzing. Next, we analyze based on statistical method and Apriori algorithm. The result shows that many large-scale accident has occurred by vans in daytime. Medium-scale accident has occurred more in day than nighttime, and by cars more than vans. Small-scale accident has occurred more in night time than day time, however, the numbers were similar. Also, car-human accident is more occurred than car-car accident in small-scale accident.

FEM analysis of the tank car for carrying hazardous materials (위험물 수송용 탱크화차에 대한 유한요소 해석)

  • Lim, C.H.;Goo, B.C.
    • Proceedings of the KSR Conference
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    • 한국철도학회 2007년도 춘계학술대회 논문집
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    • pp.1540-1545
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    • 2007
  • In these days, many kinds of tank car such as Oil tank car, Asphalt tank car, Sulfuric Acid tank car and Propylene tank car are used for carrying hazardous materials. Although they have a lot of dangerous possibilities when they meet with accidents examples of collisions and derailments there are not prescribed methods or standards for structural analysis using FEM. In this study, the structural stress analysis for an Asphalt tank car(Non-pressurized tank) and a Propylene tank car(Pressurized tank) was performed using the FEM refer to the test method in JIS E 7102(Design Methods for Tanks of Tank Cars). And then we suggested the tank car analysis procedures and considered the results.

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