• Journal of Korean Society of Transportation
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• v.25 no.5
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• pp.33-42
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• 2007

The current left-turn split model adopted in COSMOS has an inherent limitation when a loop detector in the left-turn lanes was disconnected for a period of time. In this instance, the current model always allocated minimum green time to the left-turn phase, thus optimal split and efficient signal operation for the intersection was not guaranteed. In this paper, four mathmatical models using detector information of the intersection and four empirical models using historical profiles were developed and investigated for different traffic conditions to improve the operational efficiency of the intersection. From the model evaluation test, the empirical model using a four-week historical profile produced the least error among the eight models investigated. NETSIM simulation test results also showed that the proposed model could give significantly reduced delay time as compared to the current model. From these results, the operational efficency of the signalized intersections under the real-time control can be greatly improved by using the model proposed in case of the left-turn detector failure.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.2D
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• pp.137-145
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• 2012

According to the National Police Agency, the total number of traffic accidents which occurred in 2010 was 226,878. Intersection accidents accounts for 44.8%, the largest portion of the entire traffic accidents. An research on the signalized intersection is constantly made, while an research on the unsignalized intersection is yet insufficient. This study selected traffic volume, road width, and sight distance as the input variables which affect unsignalized intersection accidents, and number of accidents as the output variable to build a model using ANFIS(Adaptive Neuro-Fuzzy Inference System). The forecast performance of this model is evaluated by comparing the actual measurement value with the forecasted value. The compatibility is evaluated by R2, the coefficient of determination, along with Mean Absolute Error (MAE) and Mean Square Error (MSE), the indicators which represent the degree of error and distribution. The result shows that the $R^2$ is 0.9817, while MAE and MSE are 0.4773 and 0.3037 respectively, which means that the explanatory power of the model is quite decent. This study is expected to provide the basic data for establishment of safety measure for unsignalized intersection and the improvement of traffic accidents.

• International Journal of Highway Engineering
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• v.9 no.3
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• pp.83-89
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• 2007

When allocating traffic signal at the signalized intersection, minimum green time and clearance time for bicyclists should be significantly considered in order to enhance safety aspects to bicyclists when crossing intersections, especially where intersections with exclusive bicycle paths that are physically separated from pedestrians. In this study, field measurements related to bicycle crossing time, including minimum peen time and clearance time, were collected and analyzed according to bicycles crossing types at the signalized intersections where high rate of bicyclists exists. Three types of bicycle crossing are defined as follows 1) stopping: completely stop before crossing (at least one foot on found) 2) riding: crossing with riding bicycle 3) pulling: crossing without riding bicycles. Minimum green time based on pedestrian speeds should be used as crossing time in this case. For bicyclists, speed of bicycle that is applicable to estimate the minimum green time is in the 1.36m/sec($15^{th}$ percentile) to 1.60m/sec($25^{th}$ percentile) range in case of its stopping. Also it is in the 0.75($15^{th}$ percentile) to 0.87($25^{th}$ percentile) range for pulling at crosswalk. In addition, speed of bicycle to consider for calculating the clearance time is in the 2.51m/sec($15^{th}$ percentile) to 2.79m/sec($25^{th}$ percentile). These values also resulted from $15^{th}$ percentile or $25^{th}$ percentile speeds of riding. The results of this study are expected to be supported in traffic signal allocation process, reflecting bicyclists' characteristics.

• Journal of the Korean Society of Industry Convergence
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• v.4 no.1
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• pp.41-49
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• 2001

This study developed signal optimization algorithm by analyzing vehicle arrival patterns. The major principle of signal optimization is dissipate all queueing vehicle in 1cycle and assign delay time uniformly for all approaches. For this, this study used optimal green time and surplus green time. Optimal green time calculated by estimated traffic volume from vehicle arrival model. Surplus green time defined as the gap of optimal green time and queue dissipated time. And alternative cycle has minimum surplus green time was selected as the optimal cycle. Finally, total delay and average delay per vehicle can be calculated by using queueing theory.

• Journal of Korean Society of Transportation
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• v.15 no.2
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• pp.83-103
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• 1997

교차로 지체를 추정하기 위해서는 대기행렬 모형이 적합한데 모든 대기시스템은 시 간의 함수로 운영되므로 우리는 분석하고자 하는 시스템이 가변상태인지 또는 안정상태인지 를 먼저 결정하여야 한다. 신호화된 교차로에 유입·유출되는 특히 유입교통량은 시간대별 변화가 심하다. 미국 HCM에서는 이를 15분 단위로 분석하도록 제안하였으나 신호교차로 체계의 정밀 분석을 위해서는 만족스럽지 못한 시간단위이다. 이러한 문제점을 극복하기 위 해서는 시스템이 안정상태가 아닌 가정으로 접근하여야 하며, 더 나아가 Dynamic한 분석이 요구된다. 안정상태의 지체는 Webster를 비롯한 여러 학자들에 의해 광범위하게 연구되어 왔다. 그러나 그들이 갖는 가정은 일반적으로 비현실적이어서 정밀한 지체추정은 실제로 가 능하지 않다. 안정상태 가정하에서 해법의 결점은 도착교통량이 용량에 다다를수록 더욱 심 하게 되어 비현실적인 지체예측을 하게 된다. 본 논문은 기존 분석방법론의 제반 한계성과 제약성을 검토하고 현실적인 교차로 지체모형을 개발하기 위해 고려되어져햐 할 변수들을 정립하고자 한다.

• Journal of Korean Society of Transportation
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• v.10 no.1
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• pp.41-54
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• 1992

The purpose of this thesis is to construct a model to estimate the delay that vehicles arriving randomly will be experienced at an isolated singalized intersection. To do this the following objectives are set in this study: (i) An what distance a random arrival pattern occurs after a platoon of vehicles are dis-charged from the stop line; (ii) A model which estimates the average delay per through-vehicle with respect to the de-gree of saturation; and (iii) The relation between the stepped delay and average approach delay per vehicle. The following are the findings of this study: (i) A random arrival pattern on the first second and third lanes occur 300,400 and 300m downstream from stop line rdspectively. A random arrival pattern on lane group occurs 500m downstream from the stop line ; (ii) A model for the estimation of approach delay has been developed in such a way that up to x=0.7 the delay increases linearly and beyond 0.7 the delay increases rapidly in a form of second order polynomial due to high degree of saturation : and (iii) Approach delay equals approximately 1.21 times of stopped delay.

• Journal of Korean Society of Transportation
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• v.18 no.4
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• pp.41-50
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• 2000

신호교차로에서 맨 우측차로의 대부분이 우회전 공용차로로 사용되는데 도로용량편람에서 우회전이 불가능한 보행자 횡단시간 비율$(f_c)$은 공용차로의 용량을 결정하는 우회전보정계수$(f_{RT})$의 산정시 중요한 요소가 된다. 그러나 이에 대한 국내의 연구는 미미하여 연구의 필요성이 있다고 생각된다. 본 연구는 유입부의 직진신호시간을 위주로 교차방향 횡단보도 내의 보행자수와 우회전차량의 통과여부를 촬영하여 분석하는 방법으로 진행되었으며, 우회전 차량이 교차도로의 보행자 횡단시간에 보행자와의 상충으로 우회전하지 못하는 시간 비율을 산정함에 있어서 횡단보도의 보행자수에 따라 우회전 차량의 통과율을 구하고 이로부터 횡단보도 보행신호시간동안에 우회전이 불가능한 시간비율을 산정했다. 연구결과는 우회전이 불가능한 시간비율이 시간당 보행자수(양방향)가 500인/시~1,500인/시로 변할 때 0.78에서 0.94사이의 값을 가지며 한국도로용량편람에서 제시한 값 0.3에서 0.9보다는 대체로 큰 것으로 나타났다. 따라서 한국용량편람에서 얻은 우회전차로의 용량은 과대 평가되는 경향이 있다.

• Proceedings of the Korea Contents Association Conference
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• 2010.05a
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• pp.322-324
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• 2010

교통량이 적은 신호교차로에서는 신호에 의한 불필요한 지체가 발생하는 경우가 많다. 특히 지방부 신호교차로의 경우 불필요한 신호 대기로 인해 운전자가 신호위반을 하거나 불필요한 지체를 경험하게 된다. 이를 해결하기 위한 방안으로 비교적 교통량이 적은 신호교차로를 회전교차로로 운영하여 해결할 수 있다. 본 연구에서는 지방부에 설치된 신호교차로를 분석하고 이를 회전교차로로 개선하였을 경우 그 효과를 비교분석하였다. 분석 결과 지체감소 효과가 있었으며, 통행시간 및 평균속도의 증가를 가져오는 것을 확인하였다. 또한 안전성 측면에서 교차로 상충횟수도 감소하는 것을 확인하였다.

• Journal of the Korean Society of Industry Convergence
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• v.6 no.4
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• pp.339-345
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• 2003

The purpose of this thesis is to develop a simulation model to estimate link travel speed applicable to urban street transportation planning for interrupted traffic flow, influenced by signalized intersection. This link travel speed model is expected to be a better and more than previous studies.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.3
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• pp.12-19
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• 2010

In road network, especially in urban area, inefficiency of travel time is caused by signal control and turn maneuver at intersection and this inefficiency has substantial effects on travel time. When searching for the shortest path, this inefficiency which is caused by turn maneuver must be considered. Therefore, travel time, vehicle volume and delay for each link were calculated by using simulation package, PARAMICS V5.2 for adaptation of turn penalty at 16 intersections of Gangnam-gu. Turn penalty was calculated respectively for each intersection. Within the same intersection, turn penalty differs by each approaching road and turn direction so the delay was calculated for each approaching road and turn direction. Shortest path dealing with 16 intersections searched by Dijkstra algorithm using travel time as cost, considering random turn penalty, and algorithm considering calculated turn penalty was compared and analyzed. The result shows that by considering turn penalty searching the shortest path can decrease the travel time can be decreased. Also, searching the shortest path which considers turn penalty can represent reality appropriately and the shortest path considering turn penalty can be utilized as an alternative.