• 한국철도학회:학술대회논문집
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• 한국철도학회 2005년도 춘계학술대회 논문집
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• pp.34-41
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• 2005

Construction of the Shinkansen was planned on the basis of a traffic volume determined by the Trunk Line Investigation Committee set up within JNR in 1957. Passenger and freight traffic along the vitally important Tokaido Main Line had been steadily increasing, passenger traffic reaching $24\%$ and freight $23\%$ of the total domestic traffic. Train frequency was expected to reach the upper limit in the 1960s. Estimated traffic volume was 13,000 million passenger-km for the opening year 1964 and 20,000 million for 1975. Although the traffic did not reach the estimed figure during 1975 reached about twice the estimated figure for the Tokyo-Shinoska Section. The amazing growth of the national economy was undoubtedly responsible for this.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 추계종합학술대회 논문집(1)
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• pp.53-56
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• 2000

In this paper, the architecture for the residential gateway is designed for the traffic statistics of home environment. The suitability of 10 Mbps power line communication is investigated for the control and the video data distribution through simulation. The design issues are discussed for a residential gateway and the network design that is based on the power line communication is presented. Traffic models are established from the actual traffic traces. They are used for performance evaluation of residential networks.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 춘계학술대회 논문집
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• pp.1407-1415
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• 2008

Recently, there has been growing interest in Gyongin Line demand estimation, because SMRT(Seoul Metropolitan Rapid Transit Corporation) Line 7 will be extended west by 9.8km from Onsu to meet the Gyongin Line at Bupyeong-gu Office. This study was designed to estimate the change of traffic demand in Gyongin Line before and after the completion year 2011, also provide against the economic loss caused by the derived demand from Gyongin Line to SMRT Line 7. In this paper we give preliminary results for the strategic plans for traffic demand estimation and train operating plan in Gyongin Line by analyzing transport performance of Seoul metropolitan subway, and an additional study on the transportation market and the urban development plan is needed for more accurate results.

• Journal of the Optical Society of Korea
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• 제18권4호
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• pp.317-329
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• 2014

In vision measurement systems based on structured light, the key point of detection precision is to determine accurately the central position of the projected laser line in the image. The purpose of this research is to extract laser line centers based on a decision function generated to distinguish the real centers from candidate points with a high recognition rate. First, preprocessing of an image adopting a difference image method is conducted to realize image segmentation of the laser line. Second, the feature points in an integral pixel level are selected as the initiating light line centers by the eigenvalues of the Hessian matrix. Third, according to the light intensity distribution of a laser line obeying a Gaussian distribution in transverse section and a constant distribution in longitudinal section, a normalized model of Hessian matrix eigenvalues for the candidate centers of the laser line is presented to balance reasonably the two eigenvalues that indicate the variation tendencies of the second-order partial derivatives of the Gaussian function and constant function, respectively. The proposed model integrates a Gaussian recognition function and a sinusoidal recognition function. The Gaussian recognition function estimates the characteristic that one eigenvalue approaches zero, and enhances the sensitivity of the decision function to that characteristic, which corresponds to the longitudinal direction of the laser line. The sinusoidal recognition function evaluates the feature that the other eigenvalue is negative with a large absolute value, making the decision function more sensitive to that feature, which is related to the transverse direction of the laser line. In the proposed model the decision function is weighted for higher values to the real centers synthetically, considering the properties in the longitudinal and transverse directions of the laser line. Moreover, this method provides a decision value from 0 to 1 for arbitrary candidate centers, which yields a normalized measure for different laser lines in different images. The normalized results of pixels close to 1 are determined to be the real centers by progressive scanning of the image columns. Finally, the zero point of a second-order Taylor expansion in the eigenvector's direction is employed to refine further the extraction results of the central points at the subpixel level. The experimental results show that the method based on this normalization model accurately extracts the coordinates of laser line centers and obtains a higher recognition rate in two group experiments.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.1375-1378
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• 1997

In this paper, we presents the algorithm which is to recognize the traffic sign on the road the traffic signal in a video image for autonomous navigation. First, the rocognition of traffic sign on the road can be detected using boundary point estimation form some scan-lines within the lane deducted. For this algorithm, index matrix method is used to detemine what sign is. Then, the traffic signal recognition is performed by usign the window minified by several scan-lines which position may be expected. For this algoritm, line profile concept is adopted.

• 한국철도학회논문집
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• 제19권5호
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• pp.663-671
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• 2016

본 연구에서는 교통카드자료를 기반으로 한 김경민 외[1]의 승객경로추적 방법을 이용하여 서울지하철 9호선 2단계 개통에 따른 급행열차 선택에 대한 변화를 분석하였다. 분석결과 2단계 개통 전과 비교하였을 때, 1단계 구간 기존 승객들의 급행열차 선택 비율은 변하지 않음을 확인하였다. 개통 전 후로 나누어 각각에 대한 다항로짓모형을 개발하였고 개통 전 후 모형의 전이성을 확인하였다. 하지만, 급행열차에 대한 선택이 높은 장거리 승객의 증가로 인해 2단계 개통 후 급행열차의 혼잡도가 약 6.7% 상승하였고 일반열차와의 혼잡도 차이는 증가하였다.

• 한국도로학회논문집
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• 제18권5호
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• pp.127-134
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• 2016

PURPOSES : Visibility of lanes on the road improves as retro-reflectivity rises. This helps reduce traffic accidents at nighttime or in bad weather. This study aimed to evaluate the effects of improved visibility on reduction of traffic accidents when the color of the lane in the median of the highway was changed from yellow to white. METHODS : In order to evaluate the accident reduction effect of the white left shoulder line, Hauer (1997)'s Comparison-Group method was chosen as an analysis methodology. The JungBu-2 highway, which is equipped with the white left shoulder line and is in trial operation, was chosen as a target for analysis. Data of accidents for 10 months before and after installation was collected and analyzed. In addition to the number of accidents, the types of accidents were classified into nighttime accidents, accidents in bad weather, and median collisions. The accident reduction effect of improved visibility of lanes was analyzed. RESULTS : The analysis' finding showed that installation of the white left shoulder line decreased the number of accidents by 28%. Moreover, improvement in visibility was effective in reducing nighttime accidents by 67.63%, accidents in bad weather by 55.19%, and median collisions by 48.55%. CONCLUSIONS : Based on the analysis' results in this study, it was concluded that white left shoulder line on the freeway contributed to reduce traffic accidents, especially nighttime accidents, accidents in bad weather, and median collisions.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 하계종합학술대회 논문집(1)
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• pp.115-118
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• 2000

In order to control the flow of traffics in ATM networks and optimize the usage of network resources, an efficient control mechanism is necessary to cope with congestion and prevent the degradation of network performance caused by congestion. To effectively control traffic in UNI(User Network Interface) stage, we proposed algorithm of integrated model using on-line teaming neural network for CAC(Call Admission Control) and UPC(Usage Parameter Control). Simulation results will show that the proposed adaptive algorithm uses of network resources efficiently and satisfies QoS for the various kinds of traffics.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2000년도 추계학술대회 논문집
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• pp.77-85
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• 2000

The railway system is composed of large scale infrastructures and high-cost trains. For planning and analyzing this kind of complex system, simulation method can be used for efficient tool. In this research, we review basic simulation programming models and present a modeling for the elements of railway system such as rail-line infrastructure, train, time table and operational route. Additionally, some considerations on the development of multi-train traffic simulator for KyongBu-line are discussed.

• 대한교통학회지
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• 제19권6호
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• pp.171-182
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• 2001

본 연구는 지점검지체계와 구간검지체계와의 자료합성을 통하여 도심 간선도로 및 지방도로 구간별 효과척도를 산정할 뿐만 아니라 유고검지 및 통행패턴 예측, 네트워크 기종점에 대한 최적/최단 경로를 탐색하는데 기초가 되는 구간 통행시간 추정을 수행한다. 개개 수집원의 자료합성을 위해 퍼지이론과 인공신경 망의 합성모형인 FALEM(Fuzzy Adaptive Learning Estimator for travel time from Multi-information sources)을 개발, 개발된 모형 FALEM에 의해 개개구간의 통행시간을 산출하고 동일시간, 동일구간에서 조사된 실측데이터와의 오차율 비교를 통해 추정된 통행시간을 검증하였다. 테스트 환경은 개발모형에 의해 추정된 구간 통행시간의 적용성을 고려하여 실시간 운영하에서 수행되었다.