• Journal of Korean Society of Transportation
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• v.24 no.3 s.89
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• pp.17-27
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• 2006

Car following model is a theory that examines changes of condition and interrelationship of acceleration deceleration. headway, velocity and so on closely based on the hypothesis that the Posterior vehicle always follows the preceding vehicle. Car following mode) which is one of the research fields of microscopic traffic flow was first introduced in 1950s and was in active progress in 1960s. However, due to the limitation of data gathering the research depression was prominent for quite a while and then soon was able to tune back on track with development in global positioning system using satellite and generalization of computer use. Recently, there has been many research studies using reception materials of global Positioning system(GPS). Introducing GPS technology to traffic has made real time tracking of a vehicle position possible. Position information is sequential in terms of time and simultaneous measurement of several vehicles in continuous driving is also practicable. Above research was focused on judging whether it is feasible to overcome the following model research by adopting the GPS reception device that was restrictively proceeded due to the limitation of data gathering. For practical judgment, we measured the accuracy and confidence level of the GPS reception devices material by carrying out a practical experiment. Car following model is also being applied in simulations of traffic flow analysis, but due to the difficulty of estimating parameters the basis of the above result. it is our goal to produce an accurate calibration of car following model's parameters that is suitable in this domestic actuality.

• Journal of Korean Society of Transportation
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• v.25 no.6
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• pp.111-120
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• 2007

More accurate vehicle trajectory data are now readily available through Differential Global Positioning Systems (DGPS). A variety of research opportunities emerge with utilization of such high resolution traffic data. A novel approach of this study is to explore drivers' responsive behavior to variable message signs (VMS) by using individual vehicle trajectories extracted from in-vehicle DGPS data. Responsive characteristics of drivers traveling on urban freeways, which can be represented by speeds and acceleration rates, under the provision of real-time traffic information through VMS are statistically investigated. In addition to conducting an ANOVA test, probability density functions of acceleration rates were estimated. The findings of this study can be used to understand the impact of drivers' workload when providing VMS messages on traffic flow patterns. Furthermore, results can be important fundamentals to assist in conducting more realistic traffic simulations.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.243-243
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• 2022

댐은 일반적으로 하천관리에 있어서 인간에게 용수를 공급하고 홍수를 조절하는 등의 발전을 목적으로 건설되어 운영되고 있다. 그러나 하류하천은 댐 건설에 의해 흐름에 대한 연속성이 차단되어 첨두 홍수량과 유사량이 현저하게 감소한다. 첨두 홍수량의 감소로 퇴적된 유사는 이동하지 못해 고착화가 진행되고 식생이 침입하여 번성하게 된다. 하천에 식생이 발달하게 되면, 안정성이 증가하고 생태계 서식처를 형성하며 하천경관을 개선시키는 이점이 있다. 그러나 조도의 증가와 통수능의 감소로 인한 유속감소와 수위상승을 발생시켜 홍수범람을 야기할 수 있다. 따라서 이러한 상황에 대응하기 위해서는 식생대의 밀도에 따른 흐름을 분석하여 바람직한 하천관리방안 연구가 필요할 것으로 판단된다. 본 연구에서는 2차원 흐름모형을 활용하여 황강 합천조정지댐 직하류 구간의 수목군을 고려한 부정류 계산을 통해 하도의 수위 및 유속을 예측모의하는 방법론을 제시하고 모의결과를 분석하였다. 상류단 경계조건은 과거 집중호우로 인하여 대홍수가 발생하였던 2020년 합천조정지댐 방류량 중 첨두발생 기간의 유량을 입력하였으며, 하도의 식생밀도를 산정하고 입력하기 위해 현장조사를 수행하였다. 수치모의 시 식생밀도는 총 4가지 Case(식생현황, 전체벌채, 식생개선, 식생존치)로 나누어 모의를 수행하였다. 모의결과, 직하류 만곡부 유입구간에서 외측으로 흐름이 집중되어 수심과 유속이 증가하였으며, 만곡부 외측의 식생대로 인해 식생대에서는 유속이 감소하고 수심이 증가하며, 식생대 주변 하류의 내측으로 흐름이 집중되어 수심과 유속이 증가하는 것으로 나타났다. 본 연구에서는 합천조정지댐의 실운영방류량과 황강의 실제식생밀도를 반영하여 수치모의를 하였기 때문에 흐름과 식생관리에 따른 실무적 대책방안 마련에 도움이 될 것으로 판단된다. 또한, 본 연구에서 활용한 분석방법과 결과들은 합리적인 하천관리방안을 구축하기 위한 기초자료로 활용될 수 있을 것으로 기대된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.238-238
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• 2022

합천댐의 건설 이후, 댐직하류 구간에서는 10년 동안의 방류량 감소와 기후변화로 인한 강우패턴의 변화로 하도식생의 활착이 발생하여 식생이 증식하고 밀도가 점차 증가하고 있다. 식생밀도의 증가는 흐름에 대한 항력을 증가시켜 유속을 감소시키고 수심을 증가시킨다. 이는 통수능 저하를 초래하며, 홍수 시 수위증가에 따른 홍수범람의 위험성 증가시킨다. 따라서 식생영향에 대한 심화적인 이해를 제고하여 적절한 식생관리대책을 구축할 필요가 있다. 본 연구에서는 이러한 필요성에 맞추어 식생대 영향에 따른 흐름의 변화를 예측모의하여 흐름과 식생대의 상호작용에 대한 분석을 수행하였다. 이를 위해 2차원 흐름모형인 Nays2D를 이용하여 합천댐 직하류 구간을 대상으로 식생밀도의 변화에 따른 흐름의 변화를 부등류를 기반으로 모의하였다. 상류단의 경계조건은 162.99 m³/s(실운영 방류량), 995 m³/s(2년빈도 댐 조절 방류량), 2670 m³/s(100년빈도 댐 조절 방류량)로 3개의 유량으로 구분하여 모의하였다. 식생의 특성은 현장조사를 통해 밀도를 산정하여 수치모의에 적용하였다. 식생밀도는 4가지로 구분하여 모의시나리오를 구축하였으며 현장조사를 통해 산정된 2021년도 식생밀도를 기준으로 식생밀도를 증감하여 수치모의를 수행하였다. 수치모의 조건은 2021년 식생현황, 식생개선, 식생존치, 전벌채로서 식생개선의 경우, 2021년 식생밀도의 0.5배로, 식생존치의 경우, 식생밀도를 2배로 적용하였다. 전벌채는 식생이 없는 것으로 가정하였다. 수치모의 결과, 식생개선이 2021년 식생현황과 식생존치보다 상대적으로 수심이 낮게 나타났다. 식생을 전벌채한 경우, 식생이 존재하는 조건보다 수심이 낮고 유속이 빠르게 나타났으며 특히, 만곡부의 외측에서는 2차류의 발달로 흐름이 집중되었다. 이를 통해 식생개선의 경우, 식생현황과 식생존치보다 홍수범람의 가능성이 적을 것으로 판단되며 전벌채의 경우, 만곡부 외측에서 2차류 발달에 의한 세굴을 야기하여 제방의 안정성에 영향을 줄 것으로 예측된다. 본 연구는 댐 직하류에 식생대 밀도변화가 흐름변화에 미치는 영향을 분석한 수치모의 사례로서 이는 추후 식생을 고려하는 하천관리방안을 수립 시, 식생관리방법에 대한 근거자료로 활용될 수 있을 것으로 기대된다.

• 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.

• Journal of Korean Society of Transportation
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• v.23 no.2
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• pp.107-116
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• 2005

The information on travel time in providing the information of traffic to drivers is one of the most important data to control a traffic congestion efficiently. Especially, this information is the major element of route choice of drivers, and based on the premise that it has the high degree of confidence in real situation. This study developed a vehicle arrival time prediction algorithm called as "VAT-DV" for 6 corridors in total 6.1Km of "Nam-san area trffic information system" in order to give an information of congestion to drivers using VMS, ARS, and WEB. The spatial scope of this study is 2.5km~3km sections of each corridor, but there are various situations of traffic flow in a short period because they have signalized intersections in a departure point and an arrival point of each corridor, so they have almost characteristics of interrupted and uninterrupted traffic flow. The algorithm uses the information on a demand volume and a queue length. The demand volume is estimated from density of each points based on the Greenburg model, and the queue length is from the density and speed of each point. In order to settle the variation of the unit time, the result of this algorithm is strategically regulated by importing the AVI(Automatic Vehicle Identification), one of the number plate matching methods. In this study, the AVI travel time information is composed by Hybrid Model in order to use it as the basic parameter to make one travel time in a day using ILD to classify the characteristics of the traffic flow along the queue length. According to the result of this study, in congestion situation, this algorithm has about more than 84% degree of accuracy. Specially, the result of providing the information of "Nam-san area traffic information system" shows that 72.6% of drivers are available.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.3
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• pp.47-63
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• 2011

A traffic detection system can be deemed as a traffic data and information collection system to serve traffic policies, traffic management, and user services. The system plays a crucial role in verifying whether or not the current traffic system has issues or problems by checking out traffic data. In addition, the system does so in finding out a point or a section where an issue or a problem has occurred, if any, and in examining the causes of the issue or problem, the extent of its impact that has occurred and spread, and a method for resolving it. However, the existing point detection system of Korea has too many flaws. In order to fix the flaws, in this paper, the theoretical characteristics of the section detection system were researched in relation to the calculation of travel time. In addition, the travel time of probe cars was obtained by field survey, and it was compared to that of spot and section detection data. Then, simulation was performed to determine the optimal section detection interval. In conclusion, introduction of optimal section detection system was examined in order to achieve the advanced road management including traffic policy, traffic management, and user services.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.643-654
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• 2018

In order to understand and manage traffic flows in urban areas in the past, a variety of traffic engineering theoretical indicators such as intersection lag and highway speed have been applied. However, these theories and indicators have been developed under the constraints of traffic engineering research before the construction of intelligent transportation system. Since the ATIS system currently exists, it is necessary to introduce a separate traffic engineering technology that utilizes the data. In this paper, it is aimed to confirm whether it is applicable to intermittent flow (approach road, intersection, control group, main road axis) by using 'congestion intensity' which is already used in traffic engineering field. The results of this study are as follows: (1) The traffic signal improvement effect of urban road access road, intersection road, control group, Two verification studies were performed to verify the derived congestion intensity index. (1) verification of congestion intensity threshold value analysis and (2) crossing improvement using the congestion intensity. Through verification, it was confirmed that it is possible to apply the congestion intensity in the inter - city intermittent flow using the 5 - minute unit speed data so as to be able to escape from the existing traffic signal operation management which is past passive and manpower limit.

• Journal of Korean Society of Transportation
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• v.16 no.3
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• pp.25-36
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• 1998

고속도로의 Tollgate는 상습 정체지역으로 개선방안이 시급히 요구되어진다. 이에 본 연구는 요금징수소 정체 해결의 기본자료로서 중요한 역할을 수행할 요금징수소의 평균 서비스시간 산정, 설계교통량 결정 및 서비스수준 결정 규정을 제시하였다. 연구방법으로는 공간적인 연구범위인 경주 Tollgate의 교통류 특성을 비데오 카메라로 촬영하여 이를 서비 스시간 측정기를 사용하여 포화서비스시간을 분석하였다. 이를 통하여 포화교통류율을 산정 하였고, 또한 중차량 포화서비스시간을 산정하여 중차량 보정 및 승용차 환산계수를 제시하 였다. 설문지 조사를 통한 운전자의 서비스수준 결정인자와 방법에 대해 조사하고 SPSS를 사용하여 분석하였다. 그리고 설계교통량 결정을 위해서 대기행렬대수 및 대기행렬 지속시 간을 매개변수로 하여 경제성 분석을 실시하였으며, 이를 통하여 게이트 수 결정 방법을 제 시하였다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.2D
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• pp.185-192
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• 2011

More practical outputs and insights can be obtained through transportation analysis considering the time-dependent traffic movements. This study proposes a method of constructing time-dependent O-D trip tables for expressway corridor using real-world individual trip data. In this study, time-dependent O-D trip tables for the nationwide highway network are constructed based on toll collection system data. The proposed methodology is to convert nationwide time-dependent O-D trip tables into Korean expressway corridor O-D trip tables in order to deal with the computational complexity arising from simulating a large-scale traffic network. The experiment results suggest that actual individual trip record data can be used to effectively construct time-dependent O-D trip tables. They also imply that the construction of time-dependent O-D trip tables for the national highway networks along with those for Korean expressway developed in this study would make transportation analysis more practical and applicable to real-time traffic operation and control.