• International Journal of Automotive Technology
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• 제7권2호
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• pp.145-154
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• 2006

In the companion paper, the composition and structure of the MATDYMO (Multi-Agent for Traffic Simulation with Vehicle Dynamic Model) were proposed. MATDYMO consists of the road management system, the vehicle motion control system, the driver management system, and the integration control system. Among these systems, the road management system and the integration control system were discussed In the companion paper. In this paper, the vehicle motion control system and the driver management system are discussed. The driver management system constructs the driver agent capable of having different driving styles ranging from slow and careful driving to fast and aggressive driving through the yielding index and passing index. According to these indices, the agents pass or yield their lane for other vehicles; the driver management system constructs the vehicle agents capable of representing the physical vehicle itself. A vehicle agent shows its behavior according to its dynamic characteristics. The vehicle agent contains the nonlinear subcomponents of engine, torque converter, automatic transmission, and wheels. The simulation is conducted for an interrupted flow model and its results are verified by comparison with the results from a commercial software, TRANSYT-7F. The interrupted flow model simulation is implemented for three cases. The first case analyzes the agents' behaviors in the interrupted flow model and it confirms that the agent's behavior could characterize the diversity of human behavior and vehicle well through every rule and communication frameworks. The second case analyzes the traffic signals changed at different intervals and as the acceleration rate changed. The third case analyzes the effects of the traffic signals and traffic volume. The results of these analyses showed that the change of the traffic state was closely related with the vehicle acceleration rate, traffic volume, and the traffic signal interval between intersections. These simulations confirmed that MATDYMO can represent the real traffic condition of the interrupted flow model. At the current stage of development, MATDYMO shows great promise and has significant implications on future traffic state forecasting research.

• International Journal of Automotive Technology
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• 제7권1호
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• pp.25-34
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• 2006

For decades, simulation technique has been well validated in areas such as computer and communication systems. Recently, the technique has been much used in the area of transportation and traffic forecasting. Several methods have been proposed for investigating complex traffic flows. However, the dynamics of vehicles and diversities of driver characteristics have never been considered sufficiently in these methods, although they are considered important factors in traffic flow analysis. In this paper, we propose a traffic simulation tool called Multi-Agent for Traffic Simulation with Vehicle Dynamics Model (MATDYMO). Road transport consultants, traffic engineers and urban traffic control center managers are expected to use MATDYMO to efficiently simulate traffic flow. MATDYMO has four sub systems: the road management system, the vehicle motion control system, the driver management system, and the integration control system. The road management system simulates traffic flow for various traffic environments (e.g., multi-lane roads, nodes, virtual lanes, and signals); the vehicle motion control system constructs the vehicle agent by using various vehicle dynamic models; the driver management system constructs the driver agent capable of having different driving styles; and lastly, the integrated control system regulates the MATDYMO as a whole and observes the agents running in the system. The vehicle motion control system and driver management system are described in the companion paper. An interrupted and uninterrupted flow model were simulated, and the simulation results were verified by comparing them with the results from a commercial software, TRANSYT-7F. The simulation result of the uninterrupted flow model showed that the driver agent displayed human-like behavior ranging from slow and careful driving to fast and aggressive driving. The simulation of the interrupted flow model was implemented as two cases. The first case analyzed traffic flow as the traffic signals changed at different intervals and as the turning traffic volume changed. Second case analyzed the traffic flow as the traffic signals changed at different intervals and as the road length changed. The simulation results of the interrupted flow model showed that the close relationship between traffic state change and traffic signal interval.

• 한국ITS학회 논문지
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• 제13권6호
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• pp.25-33
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• 2014

본 연구는 부산광역시의 전형적인 단속류 구간을 대상으로 DSRC를 통해 수집되는 구간교통정보의 신뢰성을 구간별 적정 차량 표본 수 산정기법을 통해 분석하였다. 해당 단속류 대상지를 구성하는 개별 구간에 대한 표본 수 산정을 위하여 VISSIM 모델을 이용하였다. 실제 DSRC를 통해 관찰된 하이패스 차량 수와 두 유의수준(90%와 95%)에서 산정된 적정 표본 수를 비교한 결과, 연속류에 비해 단속류에 더 많은 이상치의 발생요인이 존재한다는 점, 인접한 두 교차로와 다수의 진출입로로 구성된 하나의 구간을 통과하는 하이패스 차량의 부족으로 신뢰성 있는 구간교통정보의 집계가 어려운 점, 비첨두시간보다 첨두시간의 구간교통정보가 상대적인 신뢰성이 높은 점, 표본 수 산정의 유의수준에 따라 구간교통정보의 신뢰성이 차별화된다는 점 등을 확인할 수 있었다. 해당 구간의 길이에 따른 진출입로의 밀도와 교통신호운영의 차이는 유효 표본 수 산정에 직접적인 영향을 미치며 결국 구간교통정보의 신뢰성을 결정하게 된다. 따라서 구간의 길이에 따라 노변기지국의 개수를 조절하면 DSRC를 통해 수집되는 구간교통정보의 신뢰성이 개선될 것으로 기대된다.

• 한국통신학회논문지
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• 제19권6호
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• pp.1085-1094
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• 1994

본 논문에서는 망 노드에서의 폭주를 B-ISDN UNI에서 예방하기 위해 B-NT에서 일시적인 셀 저장 및 선택적 셀 폐기를 수행하는 트래픽 흐름 제어를 제안하였다. 제안된 구조는 B-NT 시스템에서 T 접속을 향하는 출력 셀 흐름을 감소 또는 억제시키도록 구성하고, 인접 망 노드의 상태를 정상, 준폭주, 폭주의 세상태로 정의하였다. 준폭주 상태에서는 손실에 민감한 트래픽은 일시적으로 저장되어 출력 셀 흐름의 속도를 저하시키고, 폭주 상태에서는 손실에 민감한 트래픽의 셀 저장과 더불어 지연에 민감한 트래픽의 셀이 선택적으로 폐기되어 최대한 출력 트래픽 흐름을 억제시킨다. 입력 셀 흐름과 망 노드 상태의 변화를 IBP와 3 상태 마르코프 체인으로 모델링하여 B-NT 시스템에서 제안된 구조의 성능 분석을 위한 시뮬레이션을 수행하여 적당한 버퍼 사이즈를 구하고 망 노드의 상태에 따른 제안한 구조의 성능 변화를 조사한 결과 망 노드에서의 폭주 정도가 극심한 경우에는 제안한 방법으로 제어가 거의 불가능하지만, 그 외의 경우에는 2,000셀 이상의 버퍼 사이즈로 제어가 가능함을 알 수 있었다.

• 한국정보과학회논문지:정보통신
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• 제30권3호
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• pp.416-423
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• 2003

본 논문에서는 버퍼를 공유하는 패킷 교환기의 연속 시간 큐잉 모델을 제시하고 큐 길이 확률 분포를 구하는 근사 계산 알고리즘을 제안한다. N 개의 입력 프로세스는 상호 이질적인 버스트 특성을 갖는다. 입력 프로세스는 계차-2 콕시안 분포로서 모형화하며 서버의 서비스 시간은 계차-r 얼랑 분포로서 모형화한다. 근사 알고리즘은 통합된 상태 변수를 사용하여 큐잉 시스템을 표현한다. 먼저 N개의 입력프로세스는 하나의 통합된 상태 변수로 나타내며 큐잉 시스템은 서브 시스템으로 분해하고 이것을 통합된 상태 변수로 나타낸다. 그리고 이러한 통합된 상태 변수를 사용하여 반복적인 방법에 의해서 상태 방정식의 해를 유도한다. 근사 알고리즘의 타당성은 시뮬레이션을 통해서 검증한다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.1017-1023
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• 2022

Past research shows that the construction of new infrastructure accelerates economic growth in the region by attracting more people and commodities. However, the previous studies only considered large-scale infrastructures such as sea-cross bridges and channel tunnels. There is a paucity of literature on regional infrastructure and its impact on socio-economic indicators. This paper explores the impact of new bridge construction on the human population, particularly focusing on regional bridges constructed during the 2000s in the state of Georgia. The human population at a county level was selected as a single socio-economic factor to be evaluated. A total of 124 cases were investigated as to whether the emergence of a new bridge affected the population change. The interrupted time series analysis was used to statistically examine the significance of population change due to the construction by treating each new bridge as an intervention event. The results show that, out of the 124 cases, the population of 67 cases significantly increased after the bridge construction, while the population of 57 cases was not affected by the construction at a significance level of 0.05. The 124 cases were also analyzed by route type, functional class, and traffic volume, but the results revealed, unlike large-scale infrastructure, that no clear evidence was found that a new bridge would bring an increase in the human population at a county level.

• 한국자동차공학회논문집
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• 제12권5호
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• pp.136-145
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• 2004

In companion paper, the composition and structure of the traffic environment is derived. Rules to regulate agent behaviors and the frameworks to communicate between the agents are proposed. In this paper, the model of a driver agent which controls a vehicle agent is constructed. The driver agent is capable of having different driving styles. That is, each driver agent has individual behavior settings of the yielding index and the passing index. The yielding index can be defined as how often the agent yields in case of lane changes, and the passing index can be defined as how often the agent passes ahead. According to these indices, the agents overtake or make their lanes for other vehicles. Similarly, the vehicle agents can have various vehicle dynamic models. According to their dynamic characteristics, the vehicle agent shows its own behavior. The vehicle model of the vehicle agent contains the nonlinear subcomponents of engine, torque converter, automatic transmission, and wheels. The simulation has proceeded for an interrupted flow model. The result has shown that it is possible to express the characteristics of each vehicle and its driver in a traffic flow, and that the change of the traffic state is closely related with the distance and the signal delay between intersections. The system developed in this paper shows the effectiveness and the practical usefulness of the traffic simulation.

• 한국자동차공학회논문집
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• 제12권5호
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• pp.125-135
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• 2004

The validity of simulation has been well-established for decades in areas such as computer and communication system. Recently, the technique has become entrenched in specific areas such as transportation and traffic forecasting. Several methods have been proposed for investigating complex traffic flows. However, the dynamics of vehicles and their driver's characteristics, even though it is known that they are important factors for any traffic flow analysis, have never been considered sufficiently. In this paper, the traffic simulation using a multi-agent approach with considering vehicle dynamics is proposed. The multi-agent system is constructed with the traffic environment and the agents of vehicle and driver. The traffic environment consists of multi-lane roads, nodes, virtual lanes, and signals. To ensure the fast calculation, the agents are performed on the based of the rules to regulate their behaviors. The communication frameworks are proposed for the agents to share the information of vehicles' velocity and position. The model of a driver agent which controls a vehicle agent is described in the companion paper. The vehicle model contains the nonlinear subcomponents of engine, torque converter, automatic transmission, and wheels. The simulation has proceeded for an interrupted and uninterrupted flow model. The result has shown that the driver agent performs human-like behavior ranging from slow and careful to fast and aggressive driving behavior, and that the change of the traffic state is closely related with the distance and the signal delay between intersections. The system developed shows the effectiveness and the practical usefulness of the traffic simulation.

• 대한교통학회지
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• 제27권2호
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• pp.199-206
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• 2009

교통시설 투자평가에 대한 경제성 분석과 관련하여 일반적인 예비타당성조사 지침 및 투자평가지침에서 적용하는 차량운행 비용 절감편익 중 유류비 산정 자료는 차량운행시 유류소모량과 주행속도와의 관계만을 고려하여 분석하고 있다. 신호로 인한 정지지체가 발생하지 않는 연속류의 경우 주행속도와 통행시간의 변화로 인한 절감편익에 대한 고려가 가능하나, 실제 신호교차로상에 신호제어로 인해 정지가 발생하는 단속류에 대해서는 정지지체시간감소 및 정지율 개선에 대한 고려가 없어 개선 효과분석의 현실반영이 어렵다. 따라서 기존 연구에 정지지체시간감소에 따른 절감편익을 보완하여 차량운행비산정 모형 관계식을 개발함으로써 신호교차로 특성을 반영한 편익을 분석 할 수 있는 기틀을 만드는 데 본 연구의 목적을 두었다. 공회전시 유류소모량 적용으로 정지지체시간를 고려한 차량운행비용을 재정립하였고, 서산시 가로축 2개에 대한 교통신호체계 최적화사업에 적용하여 기존 모형 적용시와 개발모형 적용시 경제적 편익에 대하여 분석하였다. 도로의 혼잡지역 증가로 교통체계관리의 중요성이 부각되는 가운데 신호연동체계 개선 및 혼잡개선 사업등의 효과분석에 있어 신호교차로 특성을 고려한 경제성 분석의 모형제시를 통해 지체도 개선을 반영한 좀 더 현실적 경제성분석에 도움을 줄 수 있을 것으로 기대한다.