• 해양환경안전학회지
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• 제20권3호
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• pp.285-291
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• 2014

This study applied regression analysis to evaluate the impact of hourly average congestion calculated by bumper model in the congested area of each passage of each port on the peak time congestion, to suggest the model formula that can predict the peak time congestion. This study conducted regression analysis of hourly average congestion and peak time congestion based on the AIS survey study of 20 ports in Korea. As a result of analysis, it was found that the hourly average congestion has a significant impact on the peak time congestion and the prediction model formula was derived. This formula($C_p=4.457C_a+29.202$) can be used to calculate the peak time congestion based on the predicted hourly average congestion.

• 한국항공운항학회지
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• 제28권2호
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• pp.36-46
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• 2020

This study is designed to help customers use more comfortable airports by predicting congestion and congestion times by identifying the traffic routes of passengers in the airport building by day of the week and time by using Wi-Fi sensor collectors, one of the IoT technologies. Analysis of passenger traffic analysis data showed that the most congested time zones were from noon. to 2p.m. for all facilities, which could be used to improve major facilities. Regression analysis of factors affecting congestion found that self-check-in reduces congestion and check-in counters increases congestion. These findings will provide important implications for operations, including congestion management at airports.

• 한국항만경제학회지
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• 제19권2호
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• pp.33-53
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• 2003

The purpose of this paper is to investigate the effectiveness of port investemnt which is one of the important elements for measuring the port efficiency by using congestion approach of DEA(Data Envelopment Analysis). Congestion is said to be present when increases in inputs result in input reductions. Congestion approach takes the forms of weak input disposability and strong input disposability. Empirical analysis by using congestion approach in this paper identified inefficiencies in the inputs including port investment, and indicated inefficient ports like the ports of Sokcho, Gunsan, Pohang, and Seoguipo which shows the large amount of slacks with congestion especially in terms of port investment. Therefore these ports should examine the reason about the inefficiency of port investment. The main policy implication based on the findings of this study is that The Ministry of Maritime Affairs & fisheries in Korea should introduce congestion approach when the amount of port investment to each port is decided.

• 한국항만경제학회:학술대회논문집
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• 한국항만경제학회 2003년도 정기학술대회지
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• pp.221-242
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• 2003

The purpose of this paper is to investigate the effectiveness of port investment which is one of the important elements for measuring the port efficiency by using congestion approach of DEA(Data Envelopment Analysis). Congestion is said to be present when increases in inputs result in ouput reductions. Congestion approach takes the forms of weak input disposability and strong input disposability. Empirical analysis by using congestion approach in this paper identified inefficiencies in the inputs including port investment, and indicated inefficient ports like the ports of Sokcho, Gunsan, Pohang, and Seoguipo which shows the large amount of slacks with congestion especially in terms of port investment. Therefore these ports should examine the reason about the inefficiency of port investment. The main policy implication based on the findings of this study is that The Ministry of Maritime Affairs & Fisheries in Korea should introduce congestion approach when the amount of port investment to each port is decided.

• Asia pacific journal of information systems
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• 제26권3호
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• pp.427-448
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• 2016

The stochastic phenomena of traffic network condition, such as traffic speed and density, are affected not only by exogenous traffic control but also by endogenous changes in service time during congestion. In this paper, we propose a mixed M/G/1 queuing model by introducing a condition-varying parameter of traffic congestion to reflect structural changes in the traffic network. We also develop congestion indices to evaluate network efficiency in terms of traffic flow and economic cost in traffic operating system using structure-changing queuing model, and perform scenario analysis according to various traffic network improvement policies. Empirical analysis using Korean highway traffic operating system shows that our suggested model better captures structural changes in the traffic queue. The scenario analysis also shows that occasional reversible lane operation during peak times can be more efficient and feasible than regular lane extension in Korea.

• Journal of applied mathematics & informatics
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• 제12권1_2호
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• pp.395-408
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• 2003

Common Channel Signaling(CCS) networks need special controls to avoid overload of signaling networks and degradation of call process-ing rate, since they play an important role of controlling communication transfer networks. Congestion control and flow control mechanisms are well described in ITU-T recommendation on Signaling System No.7(SS7). For the practical provisions, however, we need an analysis on the relation among service objects, system requirements and implementation of congestion control algorithms. SS7 provides several options for controlling link congestion in CCS networks. In this paper we give a general queueing model of congestion control algorithm which covers both the international and national options. From the queuing model, we obtain the performance parameters such as throughput, message loss rate and mean delay for the international option. To show the performance of the algorithm, some numerical results are also given.

• 한국지리정보학회지
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• 제25권2호
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• pp.100-109
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• 2022

한국의 경제성장과 함께 인구와 차량의 대규모 도시 집중에 따라 심각한 도시교통 문제가 초래되고 있다. 혼잡통행료의 징수는 교통수요를 관리하기 위한 가장 효과적인 정책으로 평가받고 있지만 대부분 혼잡이 발생하는 지점이나 교통축을 중심으로 적용되어 그 효과가 제한적이다. 본 연구는 동적 혼잡통행료 징수 체계를 제안하기 위해 부산광역시 206개 교통 분석 존의 평균 통행속도를 이용하여 시공간 큐브 분석(Space-Time Cube Analysis)과 시공간 패턴 마이닝(Emerging Hot Spot Analysis) 기법으로 면적인 개념의 동적 혼잡구역을 도출하였다. 분석 결과, 비 첨두시간인 0시~7시에는 핫스팟이 형성되지 않고, 7시~24시에는 동적 핫스팟이 형성되는 것으로 나타났다. 특히, 특정 시간대(18시~20시)와 특정 지역(서면, 광복동)에 교통 혼잡이 집중하는 것을 확인할 수 있었다. 따라서, 동적 혼잡통행료의 징수를 위한 시공간의 분석을 통해 도심에서의 교통수요 관리의 효과가 극대화될 것으로 기대한다.

• 디지털융복합연구
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• 제14권11호
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• pp.289-295
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• 2016

지하철은 버스와 택시에 비해 많은 승객들을 안전하고 신속하게 대량 수송할 수 있는 미래 지향적인 교통수단이다. 지하철 이용자의 증가에 따른 혼잡도 증가는 지하철을 쾌적하게 이용할 수 있는 시민들의 권리를 저해하는 요인 중의 하나이다. 따라서 지하철 내의 혼잡도 예측은 승객의 이용 편의성과 쾌적성을 극대화할 수 방법 중 하나이다. 본 논문에서는 기존의 지하철 혼잡도를 다중 회귀 분석으로 예측하고 빅데이터 처리를 통한 실시간으로 혼잡도를 모니터링하고, 자신의 출발역과 도착역 정보뿐만 아니라 다양한 정보를 추가하여 개인화된 혼잡도 예측 시스템을 제안한다. 제안된 혼잡도 예측 시스템을 적용한 결과 예측혼잡도가 실제혼잡도에 비해 평균 81% 정확도를 보였다. 본 논문에서 제안한 예측 및 추천 어플리케이션을 지하철 고객에 적용하면 지하철 혼잡도 예측과 개인 사용자의 편리성에 도움이 될 것으로 예상된다.

• 한국IT서비스학회지
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• 제20권5호
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• pp.29-41
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• 2021

The spread of COVID-19 has been changed the tourism industry. Travelers changed their traveling style and started to consider congestion of the spot for their health and safety. In Jeju, a famous tourist destination in South Korea, managing the congestion of tourists has become an important issue. This example introduces the Jeju Tourism Organization's development of a system as a smart tourism information service that manages congestion in real-time big data. Combining with congestion theory and behavior immune system, we would like to assure the necessity of the system. Also, by analyzing the system, we understand how deducing congestion information from big data and the new paradigm of the tourism industry combined with congestion theory. Data was collected by Korea's telecommunication company SKT to develop the system. The paper explains the reason for choosing the company and the pros of data quality. We expect this system to be a solution for any other city in the world under a similar situation. Finally, several suggestions for the system are included to promote and better future usage.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 A
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• pp.385-387
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• 2000

This paper discusses a scheme of the congestion management in the Korea electricity market under the deregulated environment. We investigated some cases of the congestion management in the world and the effects of the congestion management in a simple example. A basic idea of the congestion management in the Korea is presented based on the analysis of transmission congestion management in the competitive electricity market.