• Journal of Korean Society of Transportation
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• v.16 no.4
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• pp.99-112
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• 1998

국가경제의 기반시설인 지역간 고속도로와는 달리 도시고속도로는 도시내 교통을 담당하는 교통시설로서 대부분의 도시에서 건설중이거나 운용 중에 있다. 연속류 도로라는 시설측면을 지역간 고속도로와 비슷하나 이용주체, 차량구성비, 정시성, 제한속도 등 그 성격에는 다소 차이가 있을 것으로 판단된다. 이런 이유에서 현재 도시고속도로의 계획이나 운영에 대한 지침이 지역간 고속도로의 계획 및 운영에 대한 지침과 동일시 되고 있다는 점은 불합리한 것으로 판단된다. 그러므로, 본 연구에서는 도시고속도로의 계획과 운영에 대한 지침을 마련하기 위해 현재 운영중인 대구신천대로를 대상으로 교통류특성 등 기초적 연구를 수행하였다. 연구결과를 간략하게 나타내면 다음과 같다. . 교통류 모형분석에서 기존의 Greenshield 모형이 설명력 90%이상을 나타냈다. . 승용차환산계수 분석에서 중형차량이 1.16, 대형차량이 1.47로 분석되었다. . 용량분석에서 최대관측교통량은 4,684pcphpl, 차두시간분석은 2,432pcphpl, 교통류 모형에서는 2,422pcphpl로 분석되어, 대구신천대로의 서비스용량은 2,300pcphpl에 가까운 것으로 판단되며, 차로폭, 측방여유폭에 따른 보정으로 이상적 조건에서의 용량은 약 2,400pcphpl로 분석되었다. 이 결과는 도시고속도로가 지역간 고속도로의 기본교통용량 2,200pcphpl보다 약 200대 정도 높을 것으로 추정된다.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1995.10a
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• pp.947-950
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• 1995

• Korean Journal of Organic Agriculture
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• v.26 no.3
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• pp.409-425
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• 2018

Occurrence and yield characteristics of lepidopteran insect pests in both PUR (paddy-upland rotation) and CU (continuing upland) fields for 8 maize (Eolrukchal 1, Heugjeom 2, Miheukchal, Ilmichal, Heukjinjuchal, Chalok 4, Mibaek 2, Daehakchal) and 7 sorghum (Hwanggeumchal, Anzunbaengisusu, Moktaksusu, Sodamchal, DS-202, Nampungchal, Donganme) varieties was surveyed. The population of Ostrinia furnacalis adults showed 3 times highest peaks in 2016. In addition, the damaged ratios of maize and sorghum leaves and stems were increased depending on the growth periods of the crops and those by O. furnacalis larvae were also increased steeply in mid August. The damaged ratios of maizes such as Miheukchal, Eolrukchal 1, Ilmichal, Heugjeom 2, and Mibaek 2 by O. furnacalis larvae were statistically different (P=0.05) between organically managed PUR and CU fields. Except for DS202 among sorghum varieties, the damaged ratios of the other ones were high and similar (50-92%) in the CU field. The ear damaged ratio of maize varieties by lepidopteran larvae including O. furnacalis and Helicoverpa armigera was from 5 to 38% in Chalok 4 and Heukjinjuchal, respectively, and Daehakchal gave relatively higher damage ratio in the PUR field (33%) than in the CU field (14%). The ear ratio of Sodamchal and DS-202 varieties in the PUR field was 94 and 82%, and all sorghum varieties were damaged over 78% by lepidopteran larvae in the CU field. Interestingly, the correlation coefficients between the damaged ratio and invasive pores on their stems by O. furnacalis larvae were positive (maize $r=0.69_{paddy-upland}$, $0.95_{continuing}$; sorghum $r=0.93_{paddy-upland}$, $0.97_{continuing}$, respectively). Additionally, the correlation coefficients between the damaged ratio and the ear weight or the thousand kernel weight (g) of maizes and sorghums by lepidopteran larvae were negative (maize $r=-0.38_{paddy-upland}$, $-0.49_{continuing}$; sorghum $r=-0.70_{paddy-upland}$, $-0.57_{continuing}$, respectively). These results indicate that the focused management on lepidopteran insect pests occurring maizes and sorghums cultivated in PUR and CU fields is an important strategy to secure their yields.

• Journal of Korean Society of Transportation
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• v.20 no.5
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• pp.67-79
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• 2002

In this paper, observed trajectories of a vehicle platoon are viewed as one realization of a finite sequence of random trajectories. In this point of view, we develop novel and mathematically rigorous concept of traffic flow variables such as local traffic density, instantaneous traffic flow, and velocity field and investigate their nature on a general probability space of a sequence of random trajectories which represent vehicle trajectories. We present a simple model of random trajectories as an illustrative example and, derive the values of traffic flow variables based on the new definitions in this model. In particular, we construct the model for the sequence of random vehicle trajectories with a system of stochastic differential equations. Each equation of the system nay represent microscopic random maneuvering behavior of each vehicle with properly designed drift coefficient functions and diffusion coefficient functions. The system of stochastic differential equations nay generate a well-defined probability space of a sequence of random vehicle trajectories. We derive the partial differential equation for the expected cumulative plot with appropriate initial conditions. By solving the equation with numerical methods, we obtain the values of expected cumulative plot, local traffic density, and instantaneous traffic flow. In addition, we derive the partial differential equation for the expected travel time to a certain location with appropriate initial and/or boundary conditions, which is solvable numerically. We apply this model to a case of single vehicle trajectory.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.47-54
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• 2021

The number of freeway traffic accidents in Korea is about 4,000 as of 2020, and deaths per traffic accident is about 3.7 times higher than other roads due to non-recurring congestion and high driving speed. Most of the accident types on freeways are side and rear-end collisions, and one of the main factors is hazard traffic flow caused by merge, diverge and accidents. Therefore, the hazard traffic flow, which appears in a continuous flow such as a freeway, can be said to be important information for the driver to prevent accidents. This study tried to classify hazard traffic flows, such as the speed change point and the section where the speed difference by lane, using individual vehicle information. The homogeneous segment of speed was classified using spatial separation based on geohash and space mean speed that can indicate the speed difference of individual vehicles within the same section and the speed deviation between vehicles. As a result, I could extract the diverging influence segment and the hazard traffic flow segment that can provide dangerous segments information of freeways.

• Journal of Korean Society of Transportation
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• v.28 no.3
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• pp.169-183
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• 2010

Image-based traffic information collection systems have entered widespread adoption and use in many countries since these systems are not only capable of replacing existing loop-based detectors which have limitations in management and administration, but are also capable of providing and managing a wide variety of traffic related information. In addition, these systems are expanding rapidly in terms of purpose and scope of use. Currently, the utilization of image processing technology in the field of traffic accident management is limited to installing surveillance cameras on locations where traffic accidents are expected to occur and digitalizing of recorded data. Accurately recording the sequence of situations around a traffic accident in a freeway and then objectively and clearly analyzing how such accident occurred is more urgent and important than anything else in resolving a traffic accident. Therefore, in this research, existing technologies, this freeway attribute, velocity changes, volume changes, occupancy changes reflect judge the primary. Furthermore, We pointed out by many past researches while presenting and implementing an active and environmentally adaptive methodology capable of effectively reducing false detection situations which frequently occur even with the Gaussian Mixture model analytical method which has been considered the best among well-known environmental obstacle reduction methods. Therefore, in this way, the accident was the final decision. Also, environmental factors occur frequently, and with the index finger situations, effectively reducing that can actively and environmentally adaptive techniques through accident final judgment. This implementation of the evaluate performance of the experiment road of 12 incidents in simulated and the jang-hang IC's real-time accident experiment. As a result, the do well detection 93.33%, false alarm 6.7% as showed high reliability.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.38-42
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• 2011

토석류는 산간지역에서 발생할 수 있는 가장 위험한 자연재해 중 하나로 입자-유체 혼합물인 토석류가 중력에 의해 매우 빠른 속도로 이동하는 현상을 의미한다. 산간지역에서의 토석류 발생은 도로의 횡단 배수 구조물의 통수능을 저하시키게 되며 그 결과 도로의 유실 등 막대한 피해를 발생시킨다. 잠재적인 토석류 발생 지역에서의 피해 저감을 위해서는 진보된 설계 기준이 마련되어야 하며 이를 위해 토석류의 횡단 배수구조물 내에서 토석류의 동적 거동 특성을 파악하는 것이 선행되어야 할 것이다. 이번 연구에서는 수리 실험을 통하여 횡단 배수구조물 내에서 토석류의 퇴적 특성을 파악하고자 한다. 수리 실험 장비는 폭이 일정한 사각형 수로로 접근 수로와 하류부 수로로 구성되어 있으며 접근수로의 상단부에서 일정한 유량의 토석류를 연속적으로 유입시켜 경사가 급변하는 하류부 수로 내에서의 토석류 퇴적 특성을 파악하였다. 실험 결과로 토석류의 거동 특성은 토석류의 체적 농도, 입자의 특성, 그리고 접근수로와 하류부 수로의 바닥 경사에 종속됨을 정량적으로 알 수 있었다. 또한, 토석류의 체적 농도나 수로 바닥경사 등과는 상관없이 토석류의 퇴적은 하류부 수로의 종단부인 자유 낙하 지점에서부터 시작되었고 시간이 경과함에 따라 퇴적 지점이 접근 수로 쪽으로 이동하며 퇴적량이 크게 증가하는 현상을 보였다. 이 때, 하류부 수로 내 퇴적된 토석류는 약 $12{\sim}15^{\circ}$의 경사를 보였다.

• Journal of Climate Change Research
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• v.4 no.4
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• pp.359-369
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• 2013

In this paper, correlations between driving parameters and $CO_2$ of light-duty vehicles have been analyzed. Three test vehicles equipped with PEMS (Portable Emission Measurement System) have been driven in real-road in urban areas of Seoul. Averaged vehicle speed, RPA(Relative Positive Acceleration) and stop ratio have been selected as main driving parameters. The analysis have been conducted in interrupted and uninterrupted road types. Averaged values in various driving conditions have been calculated with distance based moving averaging window method. The multiple linear regression method have been applied to account for correlation between driving parameters and $CO_2$ emissions. This approach has shown statistically that $CO_2$ emission per distance (g/km) have tendencies to be increased as decreased averaged vehicle speed and increased RPA and stop ratio. Compared with uninterrupted traffic, interrupted traffic have shown the lower vehicle speed and the higher RPA and stop ratio. These characteristics of driving parameters in interrupted traffic should cause the higher $CO_2$ emission per distance.

• Journal of Intelligence and Information Systems
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• v.16 no.1
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• pp.57-69
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• 2010

The ubiquitous transportation system environments make it possible to collect each vehicle's position and velocity data and to perform more sophisticated traffic flow management at individual vehicle or platoon level through V2V and V2I communication. It is necessary to develop a new data processing methodology to take advantage of the ubiquitous transportation system environments. This paper proposed to build 3-dimension data profiles to maintain the detailed traffic flow information contained in the individual vehicles' data and at the same time to keep the profiles from the meaningless fluctuations. Also methods to build the platoon profile and the shock wave speed profile are proposed, which have not been possible under ITS(Intelligent Transportation System) environments.

• Journal of Korean Society of Transportation
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• v.34 no.3
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• pp.278-290
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• 2016

Maximum traffic flow rate is an important performance measure of operational status in transport networks, and has been considered as a key parameter for transportation operation since a bottleneck in congestion decreases maximum traffic flow rate. Although previous studies for traffic flow analysis have been widely conducted, a detection method for changes in dynamic traffic flow has been still veiled. This paper explores the dynamic traffic flow detection that can be utilized for various traffic operational strategies. Turning point analysis (TPA), as a statistical method, is applied to detect the changes in traffic flow rate. In TPA, Bayesian approach is employed and vehicle arrival is assumed to follow Poisson distribution. To examine the performance of the TPA method, traffic flow data from Jayuro urban expressway were obtained and applied. We propose a novel methodology to detect turning points of dynamic traffic flow in real time using TPA. The results showed that the turning points identified in real-time detected the changes in traffic flow rate. We expect that the proposed methodology has wide application in traffic operation systems such as ramp-metering and variable lane control.