• Title/Summary/Keyword: 시거

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Development of a model to predict Operating Speed (주행속도 예측을 위한 모형 개발 (2차로 지방부 도로 중심으로))

  • 이종필;김성호
    • Journal of Korean Society of Transportation
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    • v.20 no.1
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    • pp.131-139
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    • 2002
  • This study introduces a developed artificial neural networks(ANN) model as a more efficient and reliable prediction model in operating speed Prediction with the 85th percentile horizontal curve of two-way rural highway in the aspect of evaluating highway design consistency. On the assumption that the speed is decided by highway geometry features, total 30 survey sites were selected. Data include currie radius, curve length, intersection angle, sight distance, lane width, and lane of those sites and were used as input layer data of the ANN. The optimized model structure was drawn by number of unit of hidden layer, learning coefficient, momentum coefficient, and change in learning frequency in multi-layer a ANN model. To verify learning Performance of ANN, 30 survey sites were selected while data in obtained from the 20 cites were used as learning data and those from the remaining 10 sites were used as predictive data. As a result of statistical verification, the model D of 4 types of ANN was evaluated as the most similar model to the actual operating speed value: R2 was 85% and %RMSE was 0.0204.

A Study on the Proper Position of Guide Sign for Bikeway in Korea (자전거 도로의 안내표지 설치 위치에 관한 연구)

  • Jeong, Gyu-Su;Lee, Yeong-In
    • Journal of Korean Society of Transportation
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    • v.28 no.6
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    • pp.99-108
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    • 2010
  • Due to the recent emergence of global warming concerns, the UN has made the issue of climate change its top priority. Accordingly, Korea has announced a new national master plan titled, 'Participation in global efforts in climate change through -Low Carbon, Green Growth-'. As part of the plan, the constructions of bicycle path networks are being pushed forward. Although the building of bicycle paths and infrastructure is being implemented, little consideration has been given for bicycle path signage. This essay is the study of methodology in the installation of signs on bicycle paths. The research includes a theoretical study of the standard and installation position of signs with consideration of the geometry of bicycles as well issues such as the distance required for the bicyclist to recognize and understand the road sign and to take actions like stopping, In addition, experimental verification of the test results has been carried out. Also, the test on height of signs by changing the installation heights according to a bicyclist's forward vision angle has been conducted.

Development of Accident Modification Factors for Road Design Safety Evaluation Algorithm of Rural Intersections (지방부 교차로의 도로설계 안전성 판단 알고리즘 구축을 위한 AMF 개발 (신호교차로를 중심으로))

  • Kim, Eung-Cheol;Lee, Dong-Min;Choe, Eun-Jin;Kim, Do-Hun
    • Journal of Korean Society of Transportation
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    • v.27 no.3
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    • pp.91-102
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    • 2009
  • A traffic accident prediction model developed using various design variables(road design variables, geometric variables, and traffic environmental variables) is one of the most important factors to safety design evaluation system for roads. However, statistical accident models have a crucial problem not applicable for all intersections. To make up this problem, this study developed AMFs(Accident Modification Factors) through statistical modeling methods, historical accident databases, judgment from traffic experts, and literature review by considering design variable's characteristics, traffic accident rates, and traffic accident frequency. AMFs developed in this study include exclusive left-turn lane, exclusive right-turn lane, sight distance, and intersection angle. Predictabilities of the developed AMFs and the existing accident prediction models are compared with real accident historical data. The results showed that performances of the developed AMFs are superior to the existing statistical accident prediction models. These findings show that AMFs should be considered as a important process to develop safety design evaluation algorithms. Additionally, AMFs could be used as an index that can judge the impact of corresponding design variables on accidents in rural intersections.

A Study on the Propagation Model according to the Geometric Structures of Roads (도로의 기하구조에 따른 전파모델 연구)

  • Kim, Song-Min
    • 전자공학회논문지 IE
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    • v.46 no.1
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    • pp.31-36
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    • 2009
  • This study was to simulate it that the sending receiving vehicles run on the general national roads with the one-way two-lanes at 80[km/h] speed. This study was to select 280[m] radius of curvature based on the statistical data with high rate of traffic accidents, 140[m] length of direct roads considering the stopping stadia, 90[m] length of curve, and 8 points of curved roads at 11.25[m] intervals. As a result above, when the distance between the sending and receiving vehicles became more than 111[m], the propagation path of reflected wave by the adjacent vehicles became longer than the propagation path of reflected wave by the left/right reflectors because the number of repeated reflection increased. In this study, the repeated reflection for the propagation's reach to the receiving vehicles was about $1{\sim}2$[times] as it supposed it less than 111[m]. Accordingly, it found out that the propagation path of reflected wave received through the left/right reflectors was about $1{\sim}1.5[m]$ larger than the reflected wave produced by the adjacent vehicles regardless of lanes on which the sending and receiving vehicles were located.

Effects of Weather and Traffic Conditions on Truck Accident Severity on Freeways (기상 및 교통조건이 고속도로 화물차 사고 심각도에 미치는 영향분석)

  • Choi, Saerona;Kim, Mijoeng;Oh, Cheol;Lee, Keeyong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.3
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    • pp.1105-1113
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    • 2013
  • Understanding the characteristics of truck-involved crashes is of keen interest because such crashes are highly associated with greater potential leading to severer injury. The purpose of this study is to identify factors affecting injury severity of truck-involved crashes on freeways. In addition, a binary logistic regression technique is applied to identify causal factors affecting truck crash severity under normal and adverse weather conditions. Major findings from the analyses are discussed with truck operations strategies including speed enforcement, variable speed limit, and truck lane restriction, from the safety enhancement point of view. The results of this study would be useful for developing traffic control and operations strategies to reduce truck-involved crashes and injury severity in practice.

Estimating the Effectiveness of Road Safety Features using Pedestrian Accident Probability Model (보행자 사고확률모형을 이용한 도로안전시설물의 효과도 추정(4차로 일반국도를 대상으로))

  • Park, Gyu-Yeong;Lee, Su-Beom
    • Journal of Korean Society of Transportation
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    • v.24 no.4 s.90
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    • pp.55-65
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    • 2006
  • The ratio of Pedestrians in traffic accident fatality takes up 43% in Korea, which is 2.5 times as much as OECD's average. The traffic accidents features by road type shows that the fatality of the national highway posts the highest due to the accidents of pedestrians. Accordingly, the establishment of safety facilities for pedestrians is expected to increase on the rural roads for the prevention of pedestrian accidents. However, studies on pedestrians have been mainly focused on urban intersections. In Particular, studies on estimating the effectiveness of safety features for pedestrians are very poor. Thus, in this study. the Pedestrian accident probability model on four lane national highway was developed by using logit model. Also, this study analyzed and proposed the effect of facilities as a relative risk by using an odds ratio. As a result of the analysis, the Improvement of sight distance, installing sidewalks and lightings were proven effective alternatives for reducing the pedestrian accidents.

A Study on the Application of Variable Speed Limits(VSL) for Preventing Accidents on Freeways (고속도로 교통사고 예방을 위한 가변제한속도 적용방안 연구)

  • Park, Joon-Hyung;Hwang, Hyo-Won;Oh, Cheol;Chang, Myung-Soon
    • Journal of Korean Society of Transportation
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    • v.26 no.4
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    • pp.111-121
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    • 2008
  • Using variable speed limits (VSL) is a key strategy for preventing traffic accidents and alleviating traffic congestion. This study proposes an algorithm to operate VSLs on freeways for traffic safety. The proposed algorithm consists of two components based on accident likelihood estimation and analysis of safe stopping distance under various environmental conditions. A binary logistic regression technique is used for estimating accident likelihood. It is expected that the proposed algorithm would be successfully applied in practice in support of an integrated traffic and environmental condition monitoring system. Technical issues associated with the field implementation are also discussed.

Development of a Traffic Accident Prediction Model and Determination of the Risk Level at Signalized Intersection (신호교차로에서의 사고예측모형개발 및 위험수준결정 연구)

  • 홍정열;도철웅
    • Journal of Korean Society of Transportation
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    • v.20 no.7
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    • pp.155-166
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    • 2002
  • Since 1990s. there has been an increasing number of traffic accidents at intersection. which requires more urgent measures to insure safety on intersection. This study set out to analyze the road conditions, traffic conditions and traffic operation conditions on signalized intersection. to identify the elements that would impose obstructions in safety, and to develop a traffic accident prediction model to evaluate the safety of an intersection using the cop relation between the elements and an accident. In addition, the focus was made on suggesting appropriate traffic safety policies by dealing with the danger elements in advance and on enhancing the safety on the intersection in developing a traffic accident prediction model fir a signalized intersection. The data for the study was collected at an intersection located in Wonju city from January to December 2001. It consisted of the number of accidents, the road conditions, the traffic conditions, and the traffic operation conditions at the intersection. The collected data was first statistically analyzed and then the results identified the elements that had close correlations with accidents. They included the area pattern, the use of land, the bus stopping activities, the parking and stopping activities on the road, the total volume, the turning volume, the number of lanes, the width of the road, the intersection area, the cycle, the sight distance, and the turning radius. These elements were used in the second correlation analysis. The significant level was 95% or higher in all of them. There were few correlations between independent variables. The variables that affected the accident rate were the number of lanes, the turning radius, the sight distance and the cycle, which were used to develop a traffic accident prediction model formula considering their distribution. The model formula was compared with a general linear regression model in accuracy. In addition, the statistics of domestic accidents were investigated to analyze the distribution of the accidents and to classify intersections according to the risk level. Finally, the results were applied to the Spearman-rank correlation coefficient to see if the model was appropriate. As a result, the coefficient of determination was highly significant with the value of 0.985 and the ranks among the intersections according to the risk level were appropriate too. The actual number of accidents and the predicted ones were compared in terms of the risk level and they were about the same in the risk level for 80% of the intersections.

A Study on the Introduction of Bus Priority Signal using Deep Learning in BRT Section (BRT 구간 딥 러닝을 활용한 버스우선 신호도입 방안에 관한 연구)

  • Lim, Chang-Sik;Choi, Yang-Won
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.40 no.1
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    • pp.59-67
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    • 2020
  • In this study, a suitable algorithm for each BRT stop type is presented through the network construction and algorithm design effect analysis through the LISA, a traffic signal program, for the BRT stop type in the BRT Design Guidelines, Ministry of Land, Transport and Maritime Affairs, 2010.6. It was. The phase insert technique is the most effective method for the stop before passing the intersection, the early green technique for the stop after the intersection, and the extend green technique for the mid-block type stop. The extension green technique is used only because it consists of BRT vehicles, general vehicles and pedestrians. Analyzed. After passing through the intersection, the stop was analyzed as 56.4 seconds for the total crossing time and 29.8 seconds for the delay time. In the mid-block type stop, the total travel time of the intersection was 40.5 seconds, the delay time was 9.6 seconds, the average travel time of up and down BRT was 70.2 seconds, the delay time was 14.0 seconds, and the number of passages was 29.

A Study on Evaluation Method of the Urban Railway Station Sign Based on Applying the Positive Guidance Technique - Focusing on the Suseo Station Transfer Passageway - (Positive Guidance 기법을 적용한 도시철도역사 안내표지 평가방법 연구 - 수서역 환승동선을 중심으로 -)

  • Kim, Hwang Bae;Kim, Hyun Ju;Lee, Sang Hwa
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.3
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    • pp.629-636
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    • 2017
  • Urban railway are the most widely used means of transportation in the metropolitan area. It is difficult to draw out problems through the quantitative analysis technique because most of the research results show that most of the guide signs are installed with many or few guide signs. In this study, we propose a method to evaluate the information load and proper installation location at the main decision point in the transfer passageway for Suseo Station by applying Positive Guidance. As a result of analyzing the information load using this technique, it is suggested that the necessary information should be provided centered on the copper node because it provides confusion of the users by providing the same information in the transfer line. It is necessary to obtain guidance on how to remove the sign (advertising, high ceilings, etc). The study will be regarded as a key for the basis and placement of the guidelines for determining the appropriateness of the in the future urban railway station sign guide.