• Title, Summary, Keyword: Traffic accident

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Scientific Technical Development of Traffic Accident Investigation (교통사고 조사의 과학화 기술개발)

  • Hong, YouSik;Lee, ChaeWoo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.8 no.2
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    • pp.35-42
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    • 2008
  • In order to reduce a recent traffic accident, the traffic accident research has been studied using IT technique. But, when running away traffic accident it occurs, it is difficult to find the assault vehicle. In this paper, to solve these problems, if traffic accident will happen, The RFID reader will be able to recognize a license plate number automatically. Moreover, when the traffic accident occurs from the Internet base which uses the PDA the driver traffic accident site data and driver human fact it will be able to transmit in the police station or the insurance company. From the simulation result, it confirms that when passage vehicle speed is low speed above 70% it will be able to recognize the license plate number.

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Study on Reliability of New Digital Tachograph for Traffic Accident Investigation and Reconstruction (교통사고 조사 및 재현에서 신형 전자식운행기록계의 신뢰성에 관한 연구)

  • Park, Jongjin;Joh, Geonwoo;Park, Jongchan
    • Transactions of the Korean Society of Automotive Engineers
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    • v.23 no.6
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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.

Reliability Evaluation of EDR Data Using PC-Crash & Vbox (Vbox와 PC-Crash를 활용한 EDR 기록정보의 신뢰성 평가)

  • Park, Jongchan;Kim, Jonghyuk;Oh, Wontaek;Choi, Jihun;Park, Jongjin
    • Transactions of the Korean Society of Automotive Engineers
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    • v.25 no.3
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    • pp.317-325
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    • 2017
  • The EDR(Event Data Recorder) is a part of the ACU(Airbag Control Unit) functions mounted on a vehicle. EDR data have pre-crash data and post-crash data. Pre-crash data are recorded within 5 sec from time zero(AE) with 0.5 sec resolution, and reveal vehicle speed, engine rotation speed, throttle opening, brake pedal operation, acceleration pedal position and steering angle, etc. Using this EDR data, the investigation of a traffic accident can become more objective and scientific. Crash tests of three vehicles equipped with EDR function had been performed successfully. Evaluation of EDR data reliability had also been performed using Vbox and PC-Crash's sequence table function. Based on the results, we could confirm EDR data's reliability and availability for Traffic Accident Analysis by the series of this process.

Development of Traffic Accident Models at Rural Signalized Intersections by Day and Night (지방부 신호교차로 주·야간 교통사고 예측모형 개발 및 비교 분석)

  • Lee, Geunhee;Jung, Sang Woon;Park, Minho;Lee, Dongmin;Roh, Jeonghyun
    • International Journal of Highway Engineering
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    • v.17 no.3
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    • pp.107-115
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    • 2015
  • PURPOSES : The purposes of this study are to compare the day and night characteristics and to develop the models of traffic accidents. in Rural Signalized Intersections METHODS : To develop day and night traffic accident models using the Negative Binomial Model, which was constructed for 156 signalized intersections of rural areas, through field investigations and casualty data from the National Police Agency. RESULTS : Among a total of 17 variances, the daytime traffic accident estimate models identified a total of 9 influence factors of traffic accidents. In the case of nighttime traffic accident models, 11 influence factors of traffic accidents were identified. CONCLUSIONS : By comparing the two models, it was determined that the number of main roads was an independent factor for daytime accidents. For nighttime accidents, several factors were independently involved, including the number of entrances to sub-roads, whether left turn lanes existed in major roads, the distances of pedestrian crossings to main roads and sub-roads, lighting facilities, and others. It was apparent that if the same situation arises, the probability of an accident occurring at night is higher than during the day because the speed of travel through intersections in rural areas is somewhat higher at night than during the day.

A Study on Forecasting Traffic Safety Level by Traffic Accident Merging Index of Local Government (교통사고통합지수를 이용한 차년도 지방자치단체 교통안전수준 추정에 관한 연구)

  • Rim, Cheoulwoong;Cho, Jeongkwon
    • Journal of the Korean Society of Safety
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    • v.27 no.4
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    • pp.108-114
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    • 2012
  • Traffic Accident Merging Index(TAMI) is developed for TMACS(Traffic Safety Information Management Complex System). TAMI is calculated by combining 'Severity Index' and 'Frequency'. This paper suggest the accurate TAMI prediction model by time series forecasting. Preventing the traffic accident by accurately predicting it in advance can greatly improve road traffic safety. Searches the model which minimizes the error of 230 local self-governing groups. TAMI of 2007~2009 years data predicts TAMI of 2010. And TAMI of 2010 compares an actual index and a prediction index. And the error is minimized the constant where selects. Exponential Smoothing model was selected. And smoothing constant was decided with 0.59. TAMI Forecasting model provides traffic next year safety information of the local government.

Factors Affecting Traffic Accident Occurrence Rate (교통사고율에 영향을 미치는 요인 분석)

  • Im, Seon-Ho;Park, Eun-Mi;Jang, Hyeon-Bong
    • Journal of Korean Society of Transportation
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    • v.27 no.4
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    • pp.41-53
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    • 2009
  • For 5 years and 6 months, ranging from January 2003 to June 2008, SPSS 12.0 Statistical Program was used to analyze the overall analysis, analysis of center line encroachment, analysis of signal violations, analysis of drinking while intoxicated, analysis of driving without license, analysis of two-wheel vehicle, analysis of pedestrian, analysis of safety equipment, analysis of traffic publicity or education and automobile registration accounts, and casualty of traffic accidents that are determined as having statistical implication based on the statistics available from the policy to take a look at traffic accident in the Daejeon area, and there were some meaningful results. With the proof that there is a certain level of ratio for the correlations between traffic control and traffic accident that the effect of traffic control has shown with certain time interval. The relationship of traffic control and the casualty of traffic accident has very low coefficient of correlations that it is not statistically noticeable that traffic control of the police has almost no effect in preventing traffic accident. This is a display of the fact that the conversion of direction for traffic safety measure undertaken to this point is rather urgent that there is a dire need of establishing the effective alternatives.

Traffic Accident Research Using Panel Analysis - Focusing on Seoul Metropolitan Area - (패널분석을 이용한 서울시 교통사고분석 연구)

  • Park, Jun-Tae;Lee, Soo-Beom;Kim, Do-Kyung;Sung, Jung-Gon
    • Journal of the Korean Society of Safety
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    • v.26 no.6
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    • pp.130-136
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    • 2011
  • Since out of a lot of traffic problems traffic accidents cause damage to life and properties of people, it stands out as one of traffic problems which needs improvement, and the loss due to traffic accident negatively affects not only the parties to the accident but also the national economy. Thus, continual concern of the government toward traffic safety is getting bigger and lately each local government is preparing a basic plan for traffic safety and vitalizing traffic safety policies. As expanding the responsibility and role of local governments for traffic safety, traffic safety measures which are based on the characteristics of each local government should be studied. Most of analytical methods in the existing traffic accidents prediction models with macroscopic vision focus on socioeconomic variables such as local population and the number of registered vehicles, and present a great deal of prediction error when they are applied in practice. In this context, this study proposed a traffic accident prediction model in respect of macroscopic level for autonomous districts (administrative districts) of Seoul City. The model development was not based on the entire city but on the type of local land usage (development density) whose relationship with traffic accident frequency was analyzed.

Detection Algorithm of Crossroad Traffic Accident Using the Sequence of Traffic Lights (신호등 주기를 이용한 교차로 교통사고감지 알고리즘)

  • Jeong, Sung-Hwan;Lee, Joon-Whoan
    • The KIPS Transactions:PartB
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    • v.16B no.1
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    • pp.17-24
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    • 2009
  • This paper suggests the background image and the algorism of detecting an accident at crossroads by using the sequence of traffic light at crossroads, which is installed within the crossroads, in order to detect an accident within crossroads. A method of using the existing image contains a problem that the accident-detection ratio gets lower in a situation that noise occurs loudly given using new accident model, the confused situation, or sound source. This study used the accident detection by developing a filter of using the property of histogram in the sequence of traffic light at crossroads and the background image, in order to reduce misjudgment of an accident caused by external shadow, vehicle stoppage, vehicle headlight, and externally environmental influence. As a result of experimenting by acquiring 15 actual accident images in order to examine the performance of the suggested algorism, the accident was detected in all the 15 videos. Even as for a new accident model, the accident within crossroads could be detected.

Analysis on Comparison of Highway Accident Severity between Weekday and Weekend using Structural Equation Model (구조방정식 모형을 이용한 주중과 주말의 고속도로 사고심각도 비교분석)

  • Bae, Yun Kyung;Ahn, Sunyoung;Chung, Jin-Hyuk
    • Journal of The Korean Society of Civil Engineers
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    • v.33 no.6
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    • pp.2483-2491
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    • 2013
  • In order to identify and understand the crucial factors to induce traffic accident, causal relationships between diverse factors and traffic accident occurrence have been investigated continuously. It is one of most important issues all over the world to reduce the number of traffic accidents and deaths by them. Korea government is also stepping up their effort to reduce the number of traffic accidents and mitigate the severity of the accidents by establishing various traffic safety strategies. By introducing the five-day work week and increasing concern of leisure activities, the differences of trip characteristics between weekday and weekend is getting greater. According to this, the patterns and crucial factors of traffic accident occurrence in weekend appear differently from those in weekday. This study aims to understand major different factors affecting accident severity between weekday and weekend using 12,042 incident data occurred on freeways of Korea from 2006 to 2011. The model developed in this study estimated relationships among various exogenous factors of traffic accident by each type using SEM(Structural Equation Model). The result provides that road factors are related to the accident severity for weekday model, while environment factors affects on accident severity for weekend.

Development and Application of Aerial Photographing Distortion Correction Technology - Focused on Photoshop and PC-Rect (항공사진 촬영 왜곡보정기술 개발 및 적용 사례 - Photoshop과 PC-Rect 적용 중심)

  • Park, Myung-cheol;Park, Jong-chan;Yun, Yong-mun;Kim, Song-hui
    • Journal of the Korean Society of Safety
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    • v.32 no.4
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    • pp.100-106
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    • 2017
  • Outline map is used for the description and reconstruction of the traffic accident. One way to produce the outline map is by adopting detailed measurements from the accident site such as final position of the vehicle and pedestrian, width of the road, and locations of the oil and tire marks. This method consumes large amount of time not to mention that of the production of detailed version as fine as the picture of the site. Aerial recording equipment so called HeliCam can produce an outline map that can substitute that of manual method with even faster production time and higher resolution. However, the produced picture have errors which are resulted by distortion due to the characteristics of camera and direction of the photographing. This paper provides correction of the distortion of oultline map produced by HeliCam using Adobe Photoshop and PC-Rect. The result showed resonable error range less than 6 cm(0.1%) for $60m{\times}30m$ area taken by HeliCam. The presented method develops outline map with small error, which is useful to traffic accident analysis, and traffic accident cases analyzed in this study were also.