• 제어로봇시스템학회논문지
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• 제13권4호
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• pp.352-357
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• 2007

This paper deals with modeling method and application of Fuzzy Discrete Event System(FDES). FDES have characteristics which Crisp Discrete Event System(CDES) can't deals with and is constituted with the events that is determined by vague and uncertain judgement like biomedical or traffic control. We proposed Real-time Fuzzy Temporal Logic Framework(RFTLF) to model Fuzzy Discrete Event System. It combines Temporal Logic Framework with Fuzzy Theory. We represented the model of traffic signal systems for intersection to have the property of Fuzzy Discrete Event System with Real-time Fuzzy Temporal Logic Framework and designed a traffic signal controller for smooth traffic flow. Moreover, we proposed the method to find the minimum-time route to reach the desired destination with information obtained in each intersection. In order to evaluate the performance of Real-time Fuzzy Temporal Logic Framework model proposed in this paper, we simulated unit-time extension traffic signal controller model of the latest signal control method on the same condition.

• 한국ITS학회 논문지
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• 제7권1호
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• pp.42-58
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• 2008

심각해지는 교통난을 효율적으로 해결하기 위한 목적으로 실시간 신호제어시스템의 도입이 점차 확산되고 있다. 실시간 신호제어시스템은 수집정보의 신뢰도 및 시스템의 기능성이 중요하다 할 수 있으나, 시스템 구축 후 이에 대한 평가체계가 미비하여 본래의 기능을 제대로 수행하지 못하는 경우가 많이 발생하고 있다. 본 연구는 실시간 신호제어시스템에 대해 수집정보의 신뢰도는 물론 시스템의 기능성 등에 대한 평가를 통해 신호제어시스템 운영 효율을 파악하고 확장 및 운영의 방향을 제시하고자 한다. 분석결과 낮은 신뢰도를 보이거나, 이에 따른 대기행렬 길이 예측, 주기길이 변화, 좌회전 감응제어 등 시스템 기능성에 문제가 있는 부분들이 있음을 알 수 있었다. 이를 해결하기 위해서는 지속적인 모니터링을 통한 효율적인 유지보수체계가 필요하다고 판단된다.

• 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.

• 대한교통학회지
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• 제14권2호
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• pp.89-118
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• 1996

The development and implementation of a real-time, traffic adaptive control scheme based on fuzzy logic through Video Image Detector systems (VIDs) is presented. Through VIDs based image processing, fuzzy logic can be used for a real-time traffic adaptive signal control scheme. Fuzzy control logic allows linguistic and inexact traffic data to be manipulated as a useful tool in designing signal timing plans. The fuzzy logic has the ability to comprehend linguistic instructions and to generate control strategy based on a priori verbal communication. The implementation of fuzzy logic controller for a traffic network is introduced. Comparisons are made between implementations of the fuzzy logic controller and the actuated controller in an isolated intersection. The results obtained from the application of the fuzzy logic controller are also compared with those corresponding to a pretimed controller for the coordinated intersections. Simulation results from the comparisons indicate the performance of the system is between under the fuzzy logic controller. Integration of the aforementioned schemes into and ATMS framework will lead to real-time adjustment of the traffic control signals, resulting in significant reduction in traffic congestion.

• 한국콘텐츠학회논문지
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• 제16권8호
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• pp.671-680
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• 2016

본 연구에서는 통행시간과 점유율의 융합 정보를 이용하는 새로운 실시간 신호제어 알고리즘을 제시하였다. 교통정보시스템의 통행시간 정보를 신호운영에 적용하였으며, 통행시간으로 부터 산정한 포화도를 신호제어에 이용하기 위한 프로세스를 개발하였다. 결정적 지체모형을 이용해 통행시간으로부터 대기행렬 길이를 생성하고, 대기행렬 길이를 다시 포화도로 변환하는 과정이 적용되었다. 또한 통행시간 기반 포화도와 루프검지기 포화도를 융합해 신호시간이 산정되도록 하였다. 신호제어 알고리즘의 효과평가를 위해 미시적 시뮬레이션 분석을 시행하였으며, 과포화 상태에서 기존 루프검지기 기반 실시간 신호제어 대비 최대 27%의 지체 감소 효과를 확인하였다. 또한 과포화 및 검지기 고장상황에 대한 효과적이고, 유용한 대응이 가능함을 확인하였다. 본 연구에서는 교통신호제어시스템과 교통정보시스템의 교통정보 통합이용 방안을 제시하였다는데 의의가 있겠다.

• 대한교통학회지
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• 제13권3호
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• pp.67-86
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• 1995

It requires the detector system which can collect highly reliable traffic data in order to perform the real-time traffic signal control. This study is to decide the optimal shape of inductive loop for the real-time traffic signal control .This loop is located at the stopline in the signalized intersection for DS(Degree of Saturation) control. In order to find out the optimal shape of loop, 6types of experiments were performed . The results of the basic experiments of loops are as follows ; -the optimal number of turns for loop is 3 turns. -the impedance values of the loop detectors are similar to that of NEMA standards -the 1.8${\times}$4.5M loop is excellent for sensitivity in actual detection range of car length comparing to other shape of inductive loops. At the experimental of establishments of the optimal loop shape, it found that 1.8 4.5M loop has the highest values of $\DeltaL$ comparing to other types of loops, It means that the range of Lead-in cable length of this loop. And this loop is highly reliable in occpupancy time. Conclusivley, the 1.8${\times}$4.5M inductive loop is the optimal solution as a stop line loop detector for real -time traffic signal control.

• 한국전기전자재료학회논문지
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• 제11권1호
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• pp.74-81
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• 1998

It is not good joint that today's traffic control system that the course of traffic volume increase tendency is followed, in the traffic volume is approched into the time of my car. Accordingly when we analyzed the existing traffic signal control system, the traffic signal system is developed from the machine type that the motor was centered, to get up to date, to the intelligence electron signal control system. But yet, when we have a test and a A/S on the control circuit, the circuit that is designed to the center IC and ROM are complicated. Also, the time of pass lamp that the car line stream is going, can not extended automatically a time till the traffic volume is decreased to the same direction. This theme must be a real time intelligence control system that the time of pass lamp can extend aumatically. The circuit of sequence ladder diagram on the traffic signal control of a crossroads that is desinged, can be satisfied the complicated vehicle order. Therefore when the circuit is changed, the new developed system is economical with that dosen't needs any of components to require the circuit equipment, and the time is saved with needlessness of the circuit wiring again, and have a much trustworthy. The control method of pass signal lamp in the car line stream connecting among PLC and Relay and Temp Sensor, can be changed to hand operation and to semi-automation and to all-automation. New intelligence traffic signal system is composed with all-together system of T Sensor + Video Camera + IBM PC that is able to guiding the establishment of traffic order.

• 한국ITS학회 논문지
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• 제22권4호
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• pp.48-62
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• 2023

최근 국내 많은 지능형교통체계 사업에서 스마트교차로를 설치하고 있으나, 교통량 수집 및 통계분석 이외에 교통신호운영에 활용하는 사례가 미비한 상태이다. 하지만, 고질적인 교통혼잡에 대응하기 위해서는 스마트교차로에서 수집된 자료를 활용하여 효율적인 신호운영을 수행하는 방안이 필요한 실정이다. 따라서, 본 연구에서는 효율적인 교통신호운영을 위해 스마트교차로 자료를 활용한 실시간 교통신호제어 알고리즘 운영을 위한 절차를 수립하였으며, 기존 알고리즘을 개선하여 실제 스마트교차로에서 운영이 가능하도록 하였다. 효과 분석 결과, 교차로 지체가 감소하였고 옵셋 조정 시 구간 속도도 개선되는 효과가 나타나는 것으로 확인되었다.

• 한국컴퓨터정보학회논문지
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• 제15권9호
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• pp.19-24
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• 2010

우리나라 자동차의 수는 1990년부터 계속 증가하고 있다. 계속되는 자동차 수의 증가로 인해 휴일, 출퇴근 시간에 교통이 혼잡 또는 마비되는 문제가 발생한다. 하지만 기존의 신호등 체계는 통계적인 수치에 의해 결정되기 때문에 항상 일정하지 않은 차량의 수를 제어하기에는 한계가 있다. 따라서 본 논문에서는 실시간으로 변하는 차량의 수와 점유시간에 따라 퍼지 제어 기법을 이용하여 신호를 제어하는 방법을 제안한다. 제안된 교통 신호 제어 방법은 교차로에 대기하는 차량의 수와 점유 시간을 퍼지 제어 기법에 적용하여 차량의 진행 신호에 대한 우선순위를 부여한다. 가장 높은 우선순위를 가지는 현시에 대해 진행 신호를 부여하고 나머지는 대기하게 된다. 그리고 진행 신호의 시간을 교차로에 대기하는 모든 차량의 수와 차량의 비율, 진행 신호를 부여 받은 차량의 수를 이용하여 계산한다. 본 논문에서는 제안된 퍼지 신호 제어 기법과 정적인 신호 제어 기법에 대해 시뮬레이션을 통해 실험한 결과. 차량 혼잡도와 상관없이 제안된 차량 신호 제어 기법이 동일한 시간에 더 많은 차량이 원활하게 소통되는 것을 확인하였다.

• 대한교통학회지
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• 제13권1호
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• pp.5-33
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• 1995

This paper addresses the outlines of the traffic signal timing principles engaged in TRACS and the results of field test. Research team, encompassing research institute, university, and electronic company, conducted the three-year project for developing the new system, named TRACS(Traffic Adaptive Control System). The project was successfully completed in 1994. TRACS aims at accomplishing the objectives of better traffic adaptability and more reliable travel time prediction. TRACS operates in real-time adjusting signal timings throughout the system in response to variations in traffic demand and system capacity. The purpose of TRACS is to control traffic on an area basis rather than on an isolated intersection basis. An other purpose of TRACS is to provide real-time road traffic information such as volume, speed, delay , travel time, and so on. The performance of the first version of TRACS was compared to the conventional TOD control through field test. The test result was promi ing in that TRACS consistantly outperformed the conventional control method. The change of signaltiming reacted timely to the variation of traffic demand. Extensive operational test of TRACS will be conducted this year, and some functions will be enhanced.