• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.6
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• pp.925-932
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• 2018

This study deals with Turbo-Roundabout of Special-Roundabouts. Recently, many rotary intersections are being constructed in Korea, but the effect of the rotary intersection depends on the total entrance traffic volume and the area of the paper. The purpose of this study is to analyze the operation and accident reduction effect of turning traffic signal intersection with small traffic volume into turbo - type turning intersection. The main results are as follows. First, when the traffic volume of the main road is high, the traffic volume of the subway is less than 10 ~ 15%, or when the left turn ratio is less than 30%, it is improved when switching to the turbo type turn intersection instead of the first turn type and second turn type turn intersection Was analyzed. Second, it is considered that turbo type rotary intersection is more effective than first - type rotary intersection, and it is more effective in increasing road capacity because the area of paper is smaller than that of second - order rotary intersection. Third, the number of traffic accidents decreased by 45.9% and the number of injured persons decreased by 76.5% after the conversion of the turnover type turnover to turbo type. 100%), the number of car accidents was 0.3, and the number of casualties was 0 (100%). Finally, the positive evaluation of the user satisfaction survey showed that the improvement in safety, accessibility, and convenience was improved by 60.4%, which was improved by 16.4% to 76.8% after the conversion to the turbo type turnover.

• Journal of Korean Society of Transportation
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• v.17 no.4
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• pp.9-17
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• 1999

교통문제는 과거에 비하여 보다 복잡해지고 다양해지고 있으며, 이러한 교통문제를 해결하기 위한 방안을 도출하는 분석기법 또한 다양해지고 있다. 이러한 기법중 안전도 평가기법에 관한 연구는 선진국에서는 1970년대부터 진행되어 왔으나, 이에 반하여 국내에서는 최근에서야 안전도에 대한 문제가 부각되면서 이에 대한 연구가 시작되고 있는 실정이다. 본 논문은 국내 외 연구사례를 중심으로 교통상충기법(TCT)을 소개하였고, 가장 진보된 방법인 스웨덴의 상충분석기법을 기반으로 국내에 적용할 수 있도록 모형을 개발하고 심각한 정도에 따라 4개 죤으로 분류하여 위험순위를 평가할 수 있는 방법을 제시하였으며, 실제로 이러한 상충분석기법을 국내의 3개 교차로 분석에 적용하여 보았다. 사고와 상충간의 conversion factor는 수집된 자료의 부족으로 사고자료의 심각도까지는 고려하지 못하였으 나, TA값을 구하고 4개죤 분류를 통하여 위험순위를 분석하여 교차로의 안전도평가에 이용할 수 있음은 보여주었다. 상충조사 분석은 안전도 평가를 저 비용과 짧은 시간내에 보다 상세한 결과를 도출할 수 있다는 점과 대상지의 사전 후 단기간 평가 방법에 가장 효과적인 기법이라는 측면에서 국내 안전도 평가에 많이 적용되기를 바란다.

• Journal of Korean Society of Transportation
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• v.27 no.4
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• pp.127-135
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• 2009

Most traffic information that drivers receive while driving are stored in their short-term memory and disappear within a few seconds. Contemporary modeling approaches using a dummy variable can't fully explain this phenomenon. As such, this study proposes to use utility functions of real-time in-vehicle traffic safety information (IVTSI), analyzing its safety impacts based on empirical data from an on-site driving experiment at signalized intersection approach with a limited visibility. For this, a driving stability evaluation model is developed based on driver's driving speed choice, applying an ordered probit model. To estimate the specified utility functions, the model simultaneously accounts for various factors, such as traffic operation, geometry, road environment, and driver's characteristics. The results show three significant facts. First, a normal density function (exponential function) is appropriate to explain the utility of IVTSI proposed under study over time. Second, the IVTSI remains in driver's short-term memory for up to nearly 22 second after provision, decreasing over time. Three, IVTSI provision appears more important than the geometry factor but less than the traffic operation factor.

• Journal of Korean Society of Transportation
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• v.27 no.5
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• pp.113-124
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• 2009

This paper suggests a new approach for providing information for driver safety at signalized intersections. Particularly dangerous situations at signalized intersections such as red-light violations, accelerating through yellow intervals, red-light running, and stopping abruptly due to the dilemma zone problem are considered in this study. This paper presents the development of a dangerous vehicle determination algorithm by collecting real-time vehicle speeds and times from multiple point detectors when the vehicles are traveling during phase-change. For an evaluation of this algorithm, VISSIM is used to perform a real-time multiple detection situation by changing the input data such as various inflow-volume, design speed change, driver perception, and response time. As a result the correct-classification rate is approximately 98.5% and the prediction rate of the algorithm is approximately 88.5%. This paper shows the sensitivity results by changing the input data. This result showed that the new approach can be used to improve safety for signalized intersections.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.3
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• pp.679-690
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• 2015

The need to remove the cause of traffic accidents by improving the engineering system for a vehicle and the road in order to minimize the accident hazard. This is likely to cause traffic accident continue to take a large and significant social cost and time to improve the reliability and efficiency of this generally poor road, thereby generating a lot of damage to the national traffic accident caused by improper environmental factors. In order to minimize damage from traffic accidents, the cause of accidents must be eliminated through technological improvements of vehicles and road systems. Generally, it is highly probable that traffic accident occurs more often on roads that lack safety measures, and can only be improved with tremendous time and costs. In particular, traffic accidents at intersections are on the rise due to inappropriate environmental factors, and are causing great losses for the nation as a whole. This study aims to present safety countermeasures against the cause of accidents by developing an intersection Traffic safety evaluation model. It will also diagnose vulnerable traffic points through BPA (Back -propagation algorithm) among artificial neural networks recently investigated in the area of artificial intelligence. Furthermore, it aims to pursue a more efficient traffic safety improvement project in terms of operating signalized intersections and establishing traffic safety policies. As a result of conducting this study, the mean square error approximate between the predicted values and actual measured values of traffic accidents derived from the BPA is estimated to be 3.89. It appeared that the BPA appeared to have excellent traffic safety evaluating abilities compared to the multiple regression model. In other words, The BPA can be effectively utilized in diagnosing and practical establishing transportation policy in the safety of actual signalized intersections.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.4
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• pp.78-96
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• 2023

Urban traffic information is collected by various systems such as VDS, DSRC, and radar. Recently, with the development of deep learning technology, smart intersection systems are expanding, are more widely distributed, and it is possible to collect a variety of information such as traffic volume, and vehicle type and speed. However, as a result of reviewing related literature, the performance evaluation criteria so far are rbs-based evaluation systems that do not consider the deep learning area, and only consider the percent error of 'reference value-measured value'. Therefore, a new performance evaluation method is needed. Therefore, in this study, individual error, interval error, and overall error are calculated by using a formula that considers deep learning performance indicators such as precision and recall based on data ratio and weight. As a result, error rates for measurement value 1 were 3.99 and 3.54, and rates for measurement value 2 were 5.34 and 5.07.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.2
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• pp.35-41
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• 2011

The national police agency has executed the project for the advancement of traffic control and operation systems in order to mitigate chronic traffic problems and to meet the global standards regarding the traffic control and operation systems. This study effort was initiated to evaluate the effects of various policies proposed for the advancement of traffic control and operation systems. The evaluation results indicated that the policies proposed for the advancement of traffic control and operation systems showed apparent and positive effects in terms of transportation mobility and safety. However, there have been many difficulties to overcome in order to settle down the policies proposed for the advancement of traffic control and operation systems as smooth as possible. For example, the violation of intersection passing method has been increased after the implementation of the advancement of traffic control and operation systems in majority of evaluation sites. In addition, lacks of awareness as well as improper operations of the advancement of traffic control and operation systems have caused drivers' confusions, which generated more traffic congestion and risks. Currently, the policies for the advancement of traffic control and operation systems focused on the improvements of traffic signal operations, including leading through movements and permissive left-turns. However, synergy effects may be expected if all of the policies including the improvements of traffic signal operations are executed together.

• Journal of Korean Society of Transportation
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• v.12 no.1
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• pp.55-73
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• 1994

The objective of this research is to evaluate the pedestrian signal time involving green and flashing green times. The minimum pedestrian green indication should give time for pedestrian to start crossing safely, and the flashing green indication should give time to complete the crossing. An average pedestrian crossing speed of 1.1(m/s) was estimated by analyzing the field data which was slower than the 1.2(m/s) currently used. Furthermore, the study proposed that design speed for the flashing green time should be slow speed for considerations pedestrian safety, not the average speed. The 0.78-1.01(m/s) of pedestrian speed was estimated at the elementary school areas that indicated 0.2(m/s) slower than the other areas. The pedestrian starting time (perception/reaction time) and time headway from front to back of herd was estimated to determine minimum pedestrian green time. the pedestrian starting time was estimated to determine minimum pedestrian green time. The pedestrian starting time was ranged 2.52-4.29 seconds. The time interval between the pedestrian rows was found to be 1.25-1.86 seconds, which declines as the pedestrian rows increases, The equation to calculate the pedestrian signal, which declines as the pedestrian rows increases. The equation to calculate the pedestrian signal time is proposed using the pedestrian starting time, the time interval between the pedestrian rows, and pedestrian crossing speed given area types (commercial, business, mixed, and elementary school areas), number of both-directional pedestrians for a cycle, crosswalk length and width.

• International Journal of Highway Engineering
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• v.15 no.3
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• pp.177-189
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• 2013

PURPOSES: This study aims to suggest a proper left-turn treatment method for the bicycle traffic flow at four-legged intersections. METHODS: Four types of crossing methods are proposed and analyzed : (1) indirect left turn, (2) direct left turn, (3) direct left turn on a Bike Box, and (4) direct left turn on bike left turn lane. The VISSIM simulation tests were conducted based on forty-eight operation scenarios prepared by varying vehicle and bicycle traffic volumes. RESULTS : The results from the four-legged signalized intersections suggest that (1) the indirect left turn is appropriate when vehicle demand is high, (2) the direct left turn is efficient on most traffic situation but the safety is a concern, (3) the direct left turn on a Bike Box is appropriate when bicycle demand is high while vehicle demand is not, and (4) the direct left turn on a bike left turn lane is appropriate when both vehicle and bicycle demand are low. CONCLUSIONS : The direct left turn of bicycle provides more efficiency than the indirect left turn at the four-legged intersections but to apply the methods and to study more, advanced evaluation methods, related law, and insurance programs are needed.

• Journal of Korean Society of Transportation
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• v.14 no.2
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• pp.191-222
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• 1996

현재 쓰이고 있는 무신호 교차로의 서비스수준 측정방법은 지체도에 의해서 판정 되어지고 있으며, 안전도를 기준으로 서비스수준을 측정하는 방법은 존재하지 않는다. 교차 로의 안전은 사고의 횟수를 기준으로 하거나, TCT(Traffic Conflict Technique)를 이용하여 측정되어지고 있다. 두 방법 모두 많은 시간과 인력이 요구되는 방법이다. 이에 많은 시간 과 인력투자 없이 교차로의 안전을 진단하는 방법을 개발하는데 이 연구의 목적이 있다. 무 신호 교차로의 안전에 영향을 미치는 요소로는 교차로의 시거, 운전자의 인지반응시간, 차 두간격, 차량속도, 차중, 노면상태, 날씨 등이 있다. 이 모든 요소들이 복합적으로 작용하여 사고를 유발한다. 이 연구에서는 위의 요소들을 모두 고려하여 무신호 교차로의 안전을 분 석하는 방법을 개발하고저 한다. 위의 요소들 중에서 교차로의 시거를 제일 주요한 요소로 보고 나머지 요소들을 첨가시켜서 분석하는 방법을 썼다. 위에 열거한 많은 요소들을 고려 하기 위해서는 Simulation 방법이 채택되었으며, 그 중에서도 Monte carlo Simulationah형 을 썼다. 이 연구에서는 무신호 4지교차로의 횡단차량에 대해서만 고려하였으며 이 연구에 서 개발된 Simulation 모델을 Conflict의 개수와 그때의 소모된 평균 운동에너지를 산출하여 위험도를 측정하는 기준으로 삼았다. 모델의 결과에 의하면 교차로 시거가 길수록 안전하 고, 상대적으로 시거가 짧을수록 위험하다고 나왔다. 또한 AASHTO의 교차로 시거 값은 약 간 하향 조정하여도 안전도에 있어서는 큰 변화가 없는 것으로 분석되었으며, 아울러 안전 에 의한 서비스수준(LOS. A~F)의 기준이 설정되었다. 모델의 결과에 의하여 교통 공학자들 은 어떤 무신호 교차로의 안전수준을 상대적으로 평가할 수 있으며, 교차로 시거의 개선 후 얻어질 편익을 미리 예상할 수 있다.