• Title/Summary/Keyword: traffic data

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Traffic Accident Model of Urban Rotary and Roundabout by Type of Collision based on Land Use (토지이용에 따른 충돌 유형별 도시부 로터리 및 회전교차로 사고모형)

  • Lee, Min Yeong;Kim, Tae Yang;Park, Byung Ho
    • Journal of the Korean Society of Safety
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    • v.32 no.4
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    • pp.107-113
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    • 2017
  • This paper deals with the traffic factors related to the collisions of circular intersections. The purpose of this study is to develop traffic accident models by type of collision based on land use. In pursuing the above, the traffic accident data from 2010 to 2014 were collected from the "Traffic Accident Analysis System (TAAS)" data set of the Road Traffic Authority. A multiple regression model was utilized in this study to develop the traffic accident models by type of collision. 17 explanatory variables such as geometry and traffic volume factors were used. The main results are as follows. First, the null hypothesis that the type of land use does not affect the number of accidents by type of collision is rejected. Second, 10 accident models by type of collision based on land use are developed, which are all statistically significant. Finally, the ADT, inscribed circle diameter, bicycle lane, area of central island, number of speed hump, circulatory roadway width, splitter island, area of circulatory roadway, mean number of entry lane and mean width of entry lane are analyzed to see how they affect accident by type of accident based on land use.

Traffic Extraction and Verification for Attack Detection Experimentation (공격탐지 실험을 위한 네트워크 트래픽 추출 및 검증)

  • Park, In-Sung;Lee, Eun-Young;Oh, Hyung-Geun;Lee, Do-Hoon
    • Convergence Security Journal
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    • v.6 no.4
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    • pp.49-57
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    • 2006
  • Firewall to block a network access of unauthorized IP system and IDS (Intrusion Detection System) to detect malicious code pattern to be known consisted the main current of the information security system at the past. But, with rapid growth the diffusion speed and damage of malicious code like the worm, study of the unknown attack traffic is processed actively. One of such method is detection technique using traffic statistics information on the network viewpoint not to be an individual system. But, it is very difficult but to reserve traffic raw data or statistics information. Therefore, we present extraction technique of a network traffic Raw data and a statistics information like the time series. Also, We confirm the validity of a mixing traffic and show the evidence which is suitable to the experiment.

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Estimation of Ventilation Volume by Traffic Ventilation Force in Tunnel (교통환기력에 의한 터널내 환기량 추정에 관한 연구)

  • 김종호;이상칠;도연지;김신도
    • Journal of Korean Society for Atmospheric Environment
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    • v.11 no.3
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    • pp.273-278
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    • 1995
  • This study is to estimate the ventilation volume by the traffic that originated from driving automobiles for two tunnels (Kugi tunnel and Kumhwa tunnel) that adopted natural ventilation system among tunnels of Seoul, and on the basis of which, we estimated the ventilation velume at various conditions. With the result of the estimation, we will present the basic method that can be operated with the optimum condition for the ventilation system. Estimating the predicted ventilation volume in the tennel by the pollutant concentration, we used traffic volume and CO emission data by the automobile speed and CO concentration in the tunnel. And, when we estimated the traffic ventilation volume by natural and traffic ventilation force, we used traffic volume, automobile speed, tunnel area, automobile area data and so on. As the result of simple regression between predicted ventilation volume and traffic ventilation volume, we attained the regression coefficient 0.88, and achieved the relation form that predicted ventilation volume equal 0.12x traffic ventilation volume-92, 000. Using this equation, we estimated the ventilation volume to satisfy the enviromnental standards of several space, and calculated the required volume for mechanical ventilation. Incase of Kumhwa Tunnel, there is a need of mechanical ventilation all day long to satisfy air quality standard 9 ppm for 8 hours average and 10 ppm for the indoor air quality standard of public facilities.

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Estimation of Traffic Safety Improvement by Applying a Traffic Control Device (교통통제장치 적용에 따른 교통안전도 향상에 관한 연구)

  • Nam Baek;Lee Chul-Gi;Lee Sang-Soo;Oh Young-Tae;Yu Tae-Ho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.5 no.1 s.9
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    • pp.55-63
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    • 2006
  • Speeding is one of the major causes of traffic accidnets in urban areas. Driver feedback sign(DFS) is a traffic control device that can be used for many traffic environments including work zones, school zones, and roadways. In this paper, the effectiveness of DFS was evaluated through a field study using speed data collected from before and after study periods. In addition traffic safety improvement was also quantitatively estimated using the variance of speed data collected. Staistical test results showed that the speed difference was statistically significant, and the distribution of speed data was also shifted greatly. Therefore, it was concluded that installing the DFS in roadways might lead to unifomity of speed of traffic flow, thus, potential safety improvement might be expected.

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TPEG Application as a Protocol of Traffic Information for DMB in Korea (TPEG의 국내 DMB 교통정보 전송형식 적용 가능성 연구)

  • Hyun Cheol-Seung;Han Won-Sub;Kim Dong-Hyo;Hong You-Sik
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.9 s.351
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    • pp.128-134
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    • 2006
  • Traffic information protocol in DMB is very different from existing analog broadcasting and wireless communication network. In this paper, we examined whether traffic information protocol of Europe Broadcasting Union(TPEG) is applicable to domestic DMB. Also, we proposed a division of classification on kinds of franc information, and related data that it is required to transmit traffic information of TPEG form. We composed of experiment equipment and studied whether is expressed traffic informations as like accident, event, traffic condition and CCTV image on car navigation system. The results obtained it can be given expression to phrases from TPEG streaming data and to link with electronics map by decoding TPEG straming data. Also it can be expressed CCTV and graphic image which is composed of TPEG form.

Analysis and Prediction of Bicycle Traffic Accidents in Korea (자전거 교통 사고 현황 및 예측 분석)

  • Choi, Seunghee;Lee, Goo Yeon
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.9
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    • pp.89-96
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    • 2016
  • According to the promoting policy for bicycle riding, the bicycle road infrastructure in Korea has been widely established. As the number of bicycle rider increases, bicycle traffic accidents also increase year after year. In this paper, we analyze bicycle traffic accident data from 2007 to 2014 which is provided by Road Traffic Authority and present statistical results of bicycle traffic accidents. And also regression analysis is applied to predict the number of daily traffic accidents in Seoul using ASOS(Automated Synoptic Observing System) climate data observed in the Seoul sector which are provided by Korea Meteorological Administration. In addition, decision tree analysis techniques are used to forecast the level of traffic accidents severity. In the analytic results of this research, we expect that it will be helpful to establish the collective policy of bicycle accident data and protective strategy in order to reduce the number of bicycle accidents.

Traffic Accident Prediction Model by Freeway Geometric Types (고속도로 선형조건별 교통사고 위험도 평가모형 개발 (호남고속도로를 중심으로))

  • 강정규;이성관
    • Journal of Korean Society of Transportation
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    • v.20 no.4
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    • pp.163-175
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    • 2002
  • Fatalities from traffic accidents constitute one of the major health issues as well as safety ones in Korea. It has been reported that traffic accident is affected by the combined effects of road. vehicle. and human factors. Over the past few decades, a number of studies have been conducted to find the impact of road geometric factors on traffic safety. The purpose of this study is to investigate the effect of road geometric factors on traffic safety on Korean expressways. Detailed geometric design data were available from Korea Highway Corporation. Five-year traffic accident data on Honam expressway were collected and analyzed. It was found that following geometric factors influence traffic safety on expressways : radius of curve, curve length, and length of straight section. Furthermore, the existence of I.C. turned out to have a significant impact on traffic safety level. Based on the data analysis several multiple regression forms that relate traffic accident frequencies and geometric factors on expressways are developed.

Extrapolation of extreme traffic load effects on bridges based on long-term SHM data

  • Xia, Y.X.;Ni, Y.Q.
    • Smart Structures and Systems
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    • v.17 no.6
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    • pp.995-1015
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    • 2016
  • In the design and condition assessment of bridges, it is usually necessary to take into consideration the extreme conditions which are not expected to occur within a short time period and thus require an extrapolation from observations of limited duration. Long-term structural health monitoring (SHM) provides a rich database to evaluate the extreme conditions. This paper focuses on the extrapolation of extreme traffic load effects on bridges using long-term monitoring data of structural strain. The suspension Tsing Ma Bridge (TMB), which carries both highway and railway traffic and is instrumented with a long-term SHM system, is taken as a testbed for the present study. Two popular extreme value extrapolation methods: the block maxima approach and the peaks-over-threshold approach, are employed to extrapolate the extreme stresses induced by highway traffic and railway traffic, respectively. Characteristic values of the extreme stresses with a return period of 120 years (the design life of the bridge) obtained by the two methods are compared. It is found that the extrapolated extreme stresses are robust to the extrapolation technique. It may owe to the richness and good quality of the long-term strain data acquired. These characteristic extremes are also compared with the design values and found to be much smaller than the design values, indicating conservative design values of traffic loading and a safe traffic-loading condition of the bridge. The results of this study can be used as a reference for the design and condition assessment of similar bridges carrying heavy traffic, analogous to the TMB.

A Survey on Korean Medicine Treatment for Traffic Injuries: A Second On-line In-depth Survey (교통사고 상해 증후군의 한의 임상진료 현황 조사: 2차 온라인 심층 설문 조사)

  • Lim, Kyeong-Tae;Hwang, Eui-Hyoung;Hwang, Man-Suk;Park, In-Hwa;Park, Sun-Young;Shin, Byung-Cheul
    • Journal of Korean Medicine Rehabilitation
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    • v.28 no.4
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    • pp.89-101
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    • 2018
  • Objectives To understand current status of clinical practice patterns on Korean Medicine treatment practice of traffic injury patients by 2nd on-line survey for developing Korean Medicine treatment clinical pratice guideline (CPG) for traffic injuries. Methods A revised questionnaire about current practice patterns of Korean Medicine treatments for traffic injuries was distributed by e-mail survey to 19,385 respondents of Korean Medicine doctors from May 21th in 2018 to June 21th in 2018. All data were statistically analysed. Results The response rate was 3.5%. Most of the respondents felt necessity of the development of Korean Medicine CPG for traffic injuries. The results showed the detailed usage and trend of current Korean Medicine treatment such as acupuncture, pharmacopuncture, moxibustion, Chuna manual therapy, cupping, Korean Medicine physiotherpy for traffic injury patients. Conclusions This survey helps to determine current Korea Medicine treatments' clinical practice patterns for traffic injury patients. All data from the survey will provide basic data for future clinical studies and adaptation for the revision of Korean Medicine CPG for traffic injuries.

A Study of Safety Accident Prediction Model (Focusing on Military Traffic Accident Cases) (안전사고 예측모형 개발 방안에 관한 연구(군 교통사고 사례를 중심으로))

  • Ki, Jae-Sug;Hong, Myeong-Gi
    • Journal of the Society of Disaster Information
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    • v.17 no.3
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    • pp.427-441
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    • 2021
  • Purpose: This study proposes a method for developing a model that predicts the probability of traffic accidents in advance to prevent the most frequent traffic accidents in the military. Method: For this purpose, CRISP-DM (Cross Industry Standard Process for Data Mining) was applied in this study. The CRISP-DM process consists of 6 stages, and each stage is not unidirectional like the Waterfall Model, but improves the level of completeness through feedback between stages. Results: As a result of modeling the same data set as the previously constructed accident investigation data for the entire group, when the classification criterion was 0.5, Significant results were derived from the accuracy, specificity, sensitivity, and AUC of the model for predicting traffic accidents. Conclusion: In the process of designing the prediction model, it was confirmed that it was difficult to obtain a meaningful prediction value due to the lack of data. The methodology for designing a predictive model using the data set was proposed by reorganizing and expanding a data set capable of rational inference to solve the data shortage.