• Title/Summary/Keyword: 교통사고유형

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A study on Data Analysis by Type of Traffic Accident for Children (어린이 교통사고 유형별 데이터 분석 연구)

  • Lee, Jeongwon;Lee, Choong Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.490-492
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    • 2021
  • In order to realize a safety society in traffic accidents, Korea prepared comprehensive government-wide measures in 2017. Efforts are being made to minimize accidents while walking by children and the elderly by lowering the speed limit in urban areas from 60 km to 50 km and limiting the vehicle to 30 km in the case of child protection zones. In this study, after pre-processing each data with the status of vehicle registration and traffic accident spatial data (GIS) by designating a specific area, Danyang-gun, where the rate of child traffic accidents is increasing every year, it is intended to understand the structure of the data and find out the structural pattern of the data analytical studies were conducted.

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A Study on the Sensitive Factors Influencing Acha Accident Using Bayesian Network (Bayesian Network를이용한 아차사고에 영향을 주는 민감요인에 관한연구)

  • Kim, Sang-Hyun;Shin, Yeon-Cheol;Moon, You-Mi
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2022.10a
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    • pp.162-163
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    • 2022
  • 기술발전에 따라 건설현장은 스마트 안전관리기술을 활용한 안전관리의 변화가 예고되고 있다. 중대재해처벌법 시행(22.1.27)이후 50인 이상 사망사고는87건(96명)으로 전년 동기109건(111명)대비22건(20.2%), 15명(13.5%)감소한 것으로 나타났다(국토교통부,2022). 반면에 단순비교지만 일본0.14%, 미국0.37%, 영국0.03%에 비해 한국의 재해율이 높으므로 다양한 안전관리활동의 과제가 남아 있다. 이에 아차사고 유형이 건설현장 특성간의 민감도모델 제시를 기반으로 근본적인 재해관리가 연구의 목적이다. 이를 이루기 위해 국토교통부의 아차사고 발굴데이터를 분석하여 유형을 분류하고, 공사기간, 공사규모, 신체부위 등의 요인간의 아차사고 민감성요인에 대하여 Bayesian Network를 이용하여 아차사고에 영향을 주는 모델링을 제시하고자 한다.

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A GIS Based Technique for Analyzing Traffic Accidents (GIS를 이용한 교통사고의 분석 기법 개발)

  • Choi, Kee-Choo;Park, In-Chol;Oh, Sei-Chang
    • Journal of Korean Society for Geospatial Information Science
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    • v.6 no.1 s.11
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    • pp.35-51
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    • 1998
  • This article aims at presenting a new framework for traffic accident analysis by proposing a new methodology for the management of the accident data and by establishing the relationship between accidents and roadway characteristics within it For the first issue, authors introduced geographic information system (GIS) into the analysis framework of the accident data since it is believed that analysis based on GIS seems to provide more effective information in reducing accidents. Point-based, line-based, and polygon (grid)-based approaches were set of along with concrete examples. Especially, the location-based scores such as localization, specialization coefficients, and Tress score have been added to identify the intensity of certain accident types within study area or grids. The second issue addressed the equation formulation of accident and fatality numbers with roadway characteristics like number of intersections and road length in a grid with a sense that (1) accidents on roadways are the function of the roadway physical characteristics rather than the socio-economical secondary data (2) the equation can be applied to the any 'suggested' area, not just region or nation, and (3) the accident forecasting model should emphasize the accident location itself more than any other factors. Some equations based on those assumption have been derived along with some future research agenda.

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The Hazardous Expressway Sections for Drowsy Driving Using Digital Tachograph in Truck (화물차 DTG 데이터를 활용한 고속도로 졸음운전 위험구간 분석)

  • CHO, Jongseok;LEE, Hyunsuk;LEE, Jaeyoung;KIM, Ducknyung
    • Journal of Korean Society of Transportation
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    • v.35 no.2
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    • pp.160-168
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    • 2017
  • In the past 10 years, the accidents caused by drowsy driving have occupied about 23% of all traffic accidents in Korea expressway network and this rate is the highest one among all accident causes. Unlike other types of accidents caused by speeding and distraction to the road, the accidents by drowsy driving should be managed differently because the drowsiness might not be controlled by human's will. To reduce the number of accidents caused by drowsy driving, researchers previously focused on the spot based analysis. However, what we actually need is a segment (link) and occurring time based analysis, rather than spot based analysis. Hence, this research performs initial effort by adapting link concept in terms of drowsy driving on highway. First of all, we analyze the accidents caused by drowsy in historical accident data along with their road environments. Then, links associate with driving time are analyzed using digital tachograph (DTG) data. To carry this out, negative binomial regression models, which are broadly used in the field, including highway safety manual, are used to define the relationship between the number of traffic accidents on expressway and drivers' behavior derived from DTG. From the results, empirical Bayes (EB) and potential for safety improvement (PSI) analysis are performed for potential risk segments of accident caused by drowsy driving on the future. As the result of traffic accidents caused by drowsy driving, the number of the traffic accidents increases with increase in annual average daily traffic (AADT), the proportion of trucks, the amount of DTG data, the average proportion of speeding over 20km/h, the average proportion of deceleration, and the average proportion of sudden lane-changing.

Development of the Algorithm for Traffic Accident Auto-Detection in Signalized Intersection (신호교차로 내 실시간 교통사고 자동검지 알고리즘 개발)

  • O, Ju-Taek;Im, Jae-Geuk;Hwang, Bo-Hui
    • Journal of Korean Society of Transportation
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    • v.27 no.5
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    • pp.97-111
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    • 2009
  • Image-based traffic information collection systems have entered widespread adoption and use in many countries since these systems are not only capable of replacing existing loop-based detectors which have limitations in management and administration, but are also capable of providing and managing a wide variety of traffic related information. In addition, these systems are expanding rapidly in terms of purpose and scope of use. Currently, the utilization of image processing technology in the field of traffic accident management is limited to installing surveillance cameras on locations where traffic accidents are expected to occur and digitalizing of recorded data. Accurately recording the sequence of situations around a traffic accident in a signal intersection and then objectively and clearly analyzing how such accident occurred is more urgent and important than anything else in resolving a traffic accident. Therefore, in this research, we intend to present a technology capable of overcoming problems in which advanced existing technologies exhibited limitations in handling real-time due to large data capacity such as object separation of vehicles and tracking, which pose difficulties due to environmental diversities and changes at a signal intersection with complex traffic situations, as pointed out by many past researches while presenting and implementing an active and environmentally adaptive methodology capable of effectively reducing false detection situations which frequently occur even with the Gaussian complex model analytical method which has been considered the best among well-known environmental obstacle reduction methods. To prove that the technology developed by this research has performance advantage over existing automatic traffic accident recording systems, a test was performed by entering image data from an actually operating crossroad online in real-time. The test results were compared with the performance of other existing technologies.

A Convergence study for the Shorten of Pre-hospital Emergency Medical Response Time in Vehicle Accident (차량 사고에서 병원 전 응급의료 대응시간 단축을 위한 융합연구)

  • Jeon, Hyeok-Jin
    • Journal of the Korea Convergence Society
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    • v.10 no.5
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    • pp.111-117
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    • 2019
  • The purpose of this study was a convergence study to find a way to shorten pre-hospital emergency medical response time in vehicle accident. This study analyzed the factors of hospital emergency response time by utilizing weather, road type, accident type, and rescue response to 353 vehicle passengers who visited the three emergency medical centers from January 1, 2011 to July 30, 2016 in Korea In-Depth Accident Study. The results of the study showed that the highway used the most time to prehospital emergency medical response time and was a factor affecting the overall time (${\beta}=.543$, p<.001). In order to shorten the emergency medical response time in highway, the operation of emergency services on the highway, the active use of emergency turn road and the automatic emergency rescue service with individual devices were proposed.

Analysis of Bus Accident Severity Using K-Means Clustering Model and Ordered Logit Model (K-평균 군집모형 및 순서형 로짓모형을 이용한 버스 사고 심각도 유형 분석 측면부 사고를 중심으로)

  • Lee, Insik;Lee, Hyunmi;Jang, Jeong Ah;Yi, Yongju
    • Journal of Auto-vehicle Safety Association
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    • v.13 no.3
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    • pp.69-77
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    • 2021
  • Although accident data from the National Police Agency and insurance companies do not know the vehicle safety, the damage level information can be obtained from the data managed by the bus credit association or the bus company itself. So the accident severity was analyzed based on the side impact accidents using accident repair cost. K-means clustering analysis separated the cost of accident repair into 'minor', 'moderate', 'severe', and 'very severe'. In addition, the side impact accident severity was analyzed by using an ordered logit model. As a result, it is appeared that the longer the repair period, the greater the impact on the severity of the side impact accident. Also, it is appeared that the higher the number of collision points, the greater the impact on the severity of the side impact accident. In addition, oblique collisions of the angle of impact were derived to affect the severity of the accident less than right angle collisions. Finally, the absence of opponent vehicle and large commercial vehicles involved accidents were shown to have less impact on the side impact accident severity than passenger cars.

The Effects of a School Zone Improvement Project on Crash Reduction Regarding Land Use Characteristics (토지이용 특성별 어린이 보호구역 개선사업의 교통사고 감소효과 분석)

  • Lee, Soo-Beom;Jung, Do-Young;Kim, Do-Gyeong
    • Journal of Korean Society of Transportation
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    • v.26 no.3
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    • pp.109-117
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    • 2008
  • The first phase of School Zone Improvement Project introduced to enhance the safety of school-routes were completed by 2007 and the second phase of the project will be continued from 2008 to 2012. Since a huge budget is required for the project, there is a need to evaluate how many child-related crashes were reduced through the project, prior to the implementation of the second phase. Therefore, this study aims to analyze the influence of the School Zone Improvement Project on reduction in child-related crashes with data collected from the database of the National Police Agency. This study employed a Before-and-After study with comparison group to assess how many crashes were reduced. The results showed that the number of child-related crashes were decreased by 10, which is about 39% reduction in crash frequencies. With respect to the land use characteristics of school zones, the number of reduced crashes in residential zone, commercial zone, and mixed zone were 2.41, 3.8, and 0.5, respectively. The results may provide a significant implication for the second phase of the project that there is a need to establish different plans for improvement project with respect to land use characteristics.