• Title/Summary/Keyword: intersection accident

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Intersections Accident Simulation of Automated Vehicles based on Actual Accident Database (국내 실사고 기반 자율주행차 교차로 사고 시뮬레이션)

  • Shin, Yunsik;Park, Yohan;Shin, Jae-Kon;Jeong, Jayil
    • Journal of Auto-vehicle Safety Association
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    • v.13 no.4
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    • pp.106-113
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    • 2021
  • In this study, The behavior of an autonomous vehicle in an intersection accident situation is predicted. Based on a representative intersection accident situation from actual intersection accident database, simulation was performed by applying the automatic emergency braking algorithm used in the autonomous driving system. Accident reconstruction was performed based on the accident report of the representative accident situation. After applying the autonomous driving system to the accident-related vehicle, the tendency of intersection accidents that may occur in autonomous vehicles was identified and analyzed.

Analysis of Intersection Accident Trend of Autonomous Emergency Braking system Vehicle based on Actual Accident (실사고 기반 자동긴급제동장치 차량의 교차로 사고 경향 분석)

  • Yunsik Shin;Moon Young Kim;Jayil Jeong
    • Journal of Auto-vehicle Safety Association
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    • v.15 no.1
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    • pp.35-44
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    • 2023
  • The purpose of this study is to predict how the actual accident changes by reconstructing the accident with an Autonomous Emergency Braking system (AEB) based on the actual accident of the LTAP-OD (Left Turn Crossing Path - Opponent Direction) intersection. A virtual AEB sensor was developed, and 150 head-on collision accident reports were secured to the insurance company to reconstruct the accident. As a result of the accident type analysis, a total of 13 types of head-on collision accidents were derived, and it is the LTAP-OD intersection accident with the highest frequency. In the LTAP-OD intersection accident, the simulation was conducted by applying the virtual AEB of each vehicle, the accident rate decreased by 90% or more when the AEB of the left-turn vehicle was applied, and the accident rate decreased by 50%. In addition, the most frequent collision types in LTAP-OD accidents were the front bumper on the driver's side of a vehicle going straight and the front bumper on the passenger's side of a vehicle turning left.

Analysis of Traffic Accident by Circular Intersection Type in Korea Using Count Data Model (가산자료 모형을 이용한 국내 원형교차로 유형별 교통사고 분석)

  • Kim, Tae Yang;Lee, Min Yeong;Park, Byung Ho
    • Journal of the Korean Society of Safety
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    • v.32 no.5
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    • pp.129-134
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    • 2017
  • This study aims to develop the traffic accident models by circular intersection type using count data model. The number of accident, the number of fatal and injured persons(FSI), and EPDO are calculated from the traffic accident data of TAAS. The circular intersection accident models are developed through Poisson and negative binomial regression analysis. The main results of this study are as follows. First, the null hypotheses that there are differences in the number of traffic accidents, FSI and EPDO by type of circular intersections are rejected. Second, the scale of intersection(median, large), number of approach road, mean width and length of exit road, area of the circulating roadway and central island are selected as factors influencing the number of traffic accidents, FSI and EPDO in rotary. Third, the scale of intersection(median), guide signs(limited speed, direction, roundabout), number of approach road, entry angle, area of the intersection and central island are adopted as factors influencing the number of traffic accidents, FSI and EPDO in roundabout. Finally, transferring from rotary to roundabout could be expected to make the accident decrease.

A Study on the Acoustic Characteristic Analysis for Traffic Accident Detection at Intersection (교차로 교통사고 자동감지를 위한 사고음의 음향특성 분석)

  • Park, Mun-Soo;Kim, Jae-Yee;Go, Young-Gwon
    • Proceedings of the KIEE Conference
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    • 2006.10c
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    • pp.437-439
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    • 2006
  • Actually, The present traffic accident detection system is subsisting limitation of accurate distinction under the crowded condition at intersection because the system defend upon mainly the image information at intersection and digital image processing techniques nearly all. To complement this insufficiency, this article aims to estimate the level of present technology and a realistic possibility by analyzing the acoustic characteristic of crash sound that we have to investigate for improvement of traffic accident detection rate at intersection. The skid sound of traffic accident is showed the special pattern at 1[kHz])${\sim}$3[kHz] bandwidth when vehicles are almost never operated in and around intersection. Also, the frequency bandwidth of vehicle crash sound is showed sound pressure difference oyer 30[dB] higher than when there is no occurrence of traffic accident below 500[Hz].

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An Implementation of Traffic Accident Detection System at Intersection based on Image and Sound (영상과 음향 기반의 교차로내 교통사고 검지시스템의 구현)

  • 김영욱;권대길;박기현;이경복;한민홍;이형석
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.6
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    • pp.501-509
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    • 2004
  • The frequency of car accidents is very high at the intersection. Because of the state of a traffic signal, quarrels happen after accidents. At night many cars run away after causing an accident. In this case, accident analyses have been conducted by investigating evidences such as eyewitness accounts, tire tracks, fragments of the car or collision traces of the car. But these evidences that don't have enough objectivity cause an error in judgment. In the paper, when traffic accidents happen, the traffic accident detection system that stands on the basis of images and sounds detects traffic accidents to acquire abundant evidences. And, this system transmits 10 seconds images to the traffic center through the wired net and stores images to the Smart Media Card. This can be applied to various ways such as accident management, accident DB construction, urgent rescue after awaring the accident, accident detection in tunnel and in inclement weather.

Acoustic Characteristic Analysis of the accident for Automatic Traffic Accident Detection at Intersection (교차로 교통사고 자동감지를 위한 사고음의 음향특성 분석)

  • Park, Mun-Soo;Kim, Jae-Yee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.7 no.6
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    • pp.1142-1148
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    • 2006
  • Actually, a present traffic accident detection system is subsisting limitation of accurate distinction under the crowded condition at intersection because the system depend upon mainly the image information at intersection and digital image processing techniques nearly all. To complement this insufficiency, this article aims to estimate the level of present technology and a realistic possibility by analyzing the acoustic characteristic of crash sound that we have to investigate fur improvement of traffic accident detection rate at intersection. The skid sound of traffic accident was showed the special pattern at 1[KHz])$\sim$3[KHz] bandwidth when vehicles are almost never operated in and around intersection. Also, the frequency bandwidth of vehicle crash sound was showed sound pressure difference over 30[dB] higher than when there is no occurrence of traffic accident below 500[Hz].

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Truck Accident Models of Circular Intersections by Type of Accident and Conflict (사고 및 충돌유형에 따른 원형교차로 화물차 사고모형)

  • Son, Seul Ki;Cho, Ah Hae;Park, Byung Ho
    • Journal of the Korean Society of Safety
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    • v.32 no.3
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    • pp.123-129
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    • 2017
  • This study deals with the traffic accident of truck at circular intersection. The purpose of this study is to develop the truck accident models based on type of accident and conflict. In pursuing the above, the study gives particular attentions to selecting the appropriate models among Poisson and Negative binomial models using statistical program LIMDEP 8.0. The traffic accident data from 2007 to 2014 are collected from TAAS data set of Road Traffic Authority. Such the dependent variable as number of truck accidents and the 24 independent variables as geometry, traffic volume and others are used. The main results are as follows. First, 5 Poisson models (${\rho}^2$ of 0.164~0.351) which are all statistically significant are selected. Second, the common variable based on type of accident and conflict is analyzed to be truck apron width. The specific variables are, however, evaluated to splitter island, area of splitter island, speed limit sign, truck apron, number approach road, circular intersection sign, speed hump and traffic volume. Finally, widening the truck apron width and improving the above specific variables are analyzed to be important for truck accident reduction at circular intersections.

A Study on Implementation of Video Recording System utilizing Unified and integrated information for intersection (통합영상정보 생성을 활용한 교차로 영상기록장치 시스템 구현에 관한 연구)

  • Im, Pil-Sub;Im, Yo-Wung;Kim, Chun-Suk
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.8
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    • pp.783-792
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    • 2016
  • This paper is Intersection image recording system for transmitting to the central center after integrating the intersection image and signal split image into one image information. The system was configured to collect the intersection image and the signal split image and transmitted to the central center after integrating images into one image and recorded. The system is expected to be effective in preventing a secondary accident by immediately propagate the accident information and reduce the time it takes to dispute and determine the cause of the accident.

A Study on Implementation of integrated Image information of Intersection Image Recording System (교차로 영상기록 시스템의 통합 영상 정보 구현에 관한 연구)

  • Im, Pil-Sub;Im, Yo-Wung;Kim, Chun-Sun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.6
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    • pp.1189-1196
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    • 2017
  • This paper is Intersection image recording system for transmitting to the central center after integrating the intersection image and signal split image into one image information. The system was configured to collect the intersection image and the signal split image and transmitted to the central center after integrating images into one image and recorded. The system is expected to be effective in preventing a secondary accident by immediately propagate the accident information and reduce the time it takes to dispute and determine the cause of the accident.

Developing the Pedestrian Accident Models of Intersections using Tobit Model (토빗모형을 이용한 교차로 보행자 사고모형 개발)

  • Lee, Seung Ju;Lim, Jin Kang;Park, Byung Ho
    • Journal of the Korean Society of Safety
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    • v.29 no.5
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    • pp.154-159
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    • 2014
  • This study deals with the pedestrian accidents of intersections in case of Cheongju. The objective is to develop the pedestrian accident models using Tobit regression model. In pursuing the above, the pedestrian accident data from 2007 to 2011 were collected from TAAS data set of Road Traffic Authority. To analyze the accident, Poisson, negative binomial and Tobit regression models were utilized in this study. The dependent variable were the number of accident by intersection. Independent variables are traffic volume, intersection geometric structure and the transportation facility. The main results were as follows. First, Tobit model was judged to be more appropriate model than other models. Also, these models were analyzed to be statistically significant. Second, such the main variables related to accidents as traffic volume, pedestrian volume, number of traffic island, crossing length and the pedestrian countdown signal systems were adopted in the above model.