• 한국인터넷방송통신학회논문지
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• 제22권3호
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• pp.15-24
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• 2022

현재 교차로에서의 보행자 교통흐름이나 비동력차 교통흐름의 신호제어에 대한 연구는 비교적 적다. 교통 흐름 신호 제어의 최적화 방안을 연구하여 보행자, 비동력차, 자동차 등의 전체적인 교통 흐름을 조화롭게 통제할 수 있게 하는 것은 교차로의 정체 상황을 개선하는 데 중요한 의의가 있다. 교차로의 교통 최적화를 위해 본 논문은 채널화 최적화와 위상 설계의 두 가지 측면에서 출발하며, 교차로에서의 충돌점의 수를 공간적, 시간적 할당으로부터 각각 감소시킨다. 고전적인 신호 타이밍 방법을 이론적 기반으로하고, 교통 여행객의 안전과 시간 적 이익 보장을 목표로 교차로의 채널화 최적화 및 신호 제어 방안을 제안한다. 자동차, 비자동차, 보행자를 객체로 하는 교차로의 채널화 및 위상 설계방법에 대해 논의하고, 교차로의 채널화 최적화 개선 방안을 제안한다. 교차로 신호제어의 다목적 최적화 모델을 구축하였으며, NSGA-II 알고리즘을 기반으로 모델을 해결하였다.

• Journal of Information Processing Systems
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• 제19권1호
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• pp.130-138
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• 2023

The traffic flow in an urban area is affected by the date, weather, and regional traffic flow. The existing methods are weak to model the dynamic road network features, which results in inadequate long-term prediction performance. To solve the problems regarding insufficient capacity for dynamic modeling of road network structures and insufficient mining of dynamic spatio-temporal features. In this study, we propose a novel traffic flow prediction framework called shared spatio-temporal attention convolution optimization network (SSTACON). The shared spatio-temporal attention convolution layer shares a spatio-temporal attention structure, that is designed to extract dynamic spatio-temporal features from historical traffic conditions. Subsequently, the graph optimization module is used to model the dynamic road network structure. The experimental evaluation conducted on two datasets shows that the proposed method outperforms state-of-the-art methods at all time intervals.

• 한국시뮬레이션학회논문지
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• 제14권3호
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• pp.79-90
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• 2005

There are plenty of optimization models for the signal-system of a single intersection and area traffic. Some of those models are adopted for the real traffic signal control system. The simulators for a single crossroad have been developed, so that we could evaluate optimization models and traffic control systems. However, the simulators for the area traffic are still being developed. Therefore, there are many limitations in the analysis and evaluation for area traffic control system. The area traffic is consisted of several intersections which are very complicated and many traffic strategies are adopted for the control system. This paper features an effective area traffic control system based on the High Lever Architecture(HLA). In this paper, we discuss the design of HLA-based area traffic control simulation. We describe technical motivations for the HLA, the key elements of the architecture and how they are minimum and essential to the goal of reuse and interoperability. A distributed simulation with HLA/RTI provides stable and satisfactory experimental results. Moreover, the prototype traffic control system provides reliable accomplishment compared to the NETSIM and TRANSYT-7F models.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2003년도 추계학술대회 및 정기총회
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• pp.15-18
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• 2003

There are plenty of optimization models for the signal-system of a single intersection and area traffic. Some of those models are adopted for the real traffic signal control system. The simulators for a single crossroad have been developed, so that we could evaluate optimization models and traffic control systems. However, the simulators for the area traffic are still being developed. Therefore, there are many limitations in the analysis and evaluation for area traffic control systems. The area traffic is consist of several intersections interconnected which are very complicated and many traffic strategy are adopted for the control system. This paper features an effective area traffic control system by High Lever Architecture(HLA) which is a new developed simulation tool. In this paper, we discuss the design of HLA-based area traffic control simulation. We describe technical motivations for the HLA, the key elements of the architecture and how they are minimum and essential to the goal of reuse and interoperability.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2005년도 춘계학술대회 논문집
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• pp.82-88
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• 2005

There are plenty of optimization models for the signal-system of a single intersection and area traffic. Some of those models are adopted for the real traffic signal control system. The simulators for a single crossroad have been developed, so that we could evaluate optimization models and traffic control systems. However, the simulators for the area traffic are still being developed. Therefore, there are some limitations in the analysis and evaluation for area traffic control systems, The area traffic is consist of several intersections interconnected which are very complicated and many traffic strategy are adopted for the control system. This paper features an effective area traffic control system by High Lever Architecture(HLA) which is a new developed simulation tool. In this paper, we discuss the design of HLA-based area traffic control simulation. We describe technical motivations for the HLA, the key elements of the architecture and how they are minimum and essential to the goal of reuse and interoperability.

• 한국정보통신학회논문지
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• 제25권7호
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• pp.930-939
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• 2021

최근 네트워크에서 안정된 전송을 위해 광대역의 대역폭과 중복 링크를 사용함으로써 과도하게 에너지를 소비하고 전송효율을 떨어뜨리는 결과를 낳고 있다. 본 논문에서는 트래픽 중복이 허용되는 네트워크에서 중복 트래픽을 제거함으로써 전송 링크의 수를 줄이고 전송에너지를 최소화하는 최적화 알고리즘을 제안한다. 본 논문에서 제안하는 최적화 알고리즘은 타부서치 알고리즘을 이용한 메타휴리스틱방식을 사용한다. 제안된 최적화 알고리즘은 중복되는 트래픽을 효율적으로 경로 설정할 수 있도록 이웃해 생성방식을 설계하여 전송에너지를 최소화한다. 제안된 최적화 알고리즘의 성능평가는 네트워크에서 발생하는 모든 트래픽을 전송하기 위해 사용되는 링크의 수와 소모되는 전송에너지 관점에서 수행되었다. 성능평가 결과에서 제안된 알고리즘이 이전에 제안된 다른 알고리즘에 비해 더 우수한 성능 결과가 나타남을 확인할 수 있었다.

• Journal of information and communication convergence engineering
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• 제11권1호
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• pp.30-44
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• 2013

Traffic congestion has become a serious problem with the recent exponential increase in the number of vehicles. In urban areas, almost all traffic congestion occurs at intersections. One of the ways to solve this problem is road expansion, but it is difficult to realize in urban areas because of the high cost and long construction period. In such cases, traffic signal control is a reasonable method for reducing traffic jams. In an actual situation, the traffic flow changes randomly and its randomness makes the control of traffic signals difficult. A prediction of traffic jams is, therefore, necessary and effective for reducing traffic jams. In addition, an autonomous distributed (stand-alone) point control of each traffic light individually is better than the wide and/or line control of traffic lights from the perspective of real-time control. This paper describes a stochastic optimum control of crossroads and multi-way traffic signals. First, a stochastic model of traffic flows and traffic jams is constructed by using a Bayesian network. Secondly, the probabilistic distributions of the traffic flows are estimated by using a cellular automaton, and then the probabilistic distributions of traffic jams are predicted. Thirdly, optimum traffic signals of crossroads and multi-way intersection are searched by using a modified particle swarm optimization algorithm to realize real-time traffic control. Finally, simulations are carried out to confirm the effectiveness of the real-time stochastic optimum control of traffic signals.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 I
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• pp.477-480
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• 2003

Packet losses in the Internet can dramatically degrade quality of multimedia streams. Forward Error Correction (FEC) is one of the best methods that can protect data from packet erasures by means of sending additional redundant information. Proposed control algorithm provides the possibility of receiving real-time multimedia streams of given quality wifth minimal traffic overhead. The traffic optimization is reached by adjusting packet size as well as block code parameters. Calculations and simulation results show that for non-bursty network conditions traffic optimization can lead to more than 50% bandwidth reduction.

• Journal of Information Processing Systems
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• 제18권6호
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• pp.719-728
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• 2022

The prediction of short-term traffic flow is the theoretical basis of intelligent transportation as well as the key technology in traffic flow induction systems. The research on short-term traffic flow prediction has showed the considerable social value. At present, the support vector regression (SVR) intelligent prediction model that is suitable for small samples has been applied in this domain. Aiming at parameter selection difficulty and prediction accuracy improvement, the artificial bee colony (ABC) is adopted in optimizing SVR parameters, which is referred to as the ABC-SVR algorithm in the paper. The simulation experiments are carried out by comparing the ABC-SVR algorithm with SVR algorithm, and the feasibility of the proposed ABC-SVR algorithm is verified by result analysis. Continuously, the simulation experiments are carried out by comparing the ABC-SVR algorithm with particle swarm optimization SVR (PSO-SVR) algorithm and genetic optimization SVR (GA-SVR) algorithm, and a better optimization effect has been attained by simulation experiments and verified by statistical test. Simultaneously, the simulation experiments are carried out by comparing the ABC-SVR algorithm and wavelet neural network time series (WNN-TS) algorithm, and the prediction accuracy of the proposed ABC-SVR algorithm is improved and satisfactory prediction effects have been obtained.

• 한국통신학회논문지
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• 제40권4호
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• pp.678-691
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• 2015

최근 정보통신 생태계는 스마트 기기의 대중화와 대용량 데이터 스트리밍을 필요로 하는 다양한 인터넷 서비스들의 출현과 함께 인터넷 및 모바일 데이터 트래픽이 급속도로 증가하게 되었다. 이에 따라 원활한 인터넷 접속문제, 네트워크의 혼잡 및 정체, 그리고 통신사업자들의 지속적인 네트워크 투자 비용증대 등 다양한 문제들이 초래되었다. 이렇게 데이터 중심의 패러다임으로 변화된 통신 생태계 속에서 초기 상호접속체제들은 사업자들 간 균형 있는 혜택과 공정한 분배 그리고 차세대 네트워크 구축을 위한 경제적 유인을 형성할 수 없다는 측면에서 논란이 가중되고 있다. 따라서 더욱 복잡해진 All-IP 네트워크 환경에 부합할 수 있는 진화된 인터넷 상호접속체제의 도입이 필요한 상황이다. 이에 본 연구에서는 국내 인터넷 상호접속제도의 핵심이슈를 발굴하고 인터넷 초기에서 현재까지의 인터넷 상호접속체제를 전반적으로 분석한 후, 실증연구를 통하여 트래픽 최적화, 비용 최적화, 네트워크 투자 최적화의 세 가지 측면에 부합될 수 있는 인터넷 상호접속체제를 제시하고자 한다.