• Proceedings of the Korea Society for Simulation Conference
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• 2001.05a
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• pp.113-118
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• 2001

교통혼잡의 묘사를 보다 구체적으로 하기 위한 Mesoscopic시뮬레이션 모형으로서 INTEGRATION을 소개한다. 모형의 기본구조가 설명되고, 특히 응용사례로서 경부고속도로 축을 중심으로 한 주거지역의 급속한 팽창으로 야기된 고속도로상의 교통대안을 평가하려는데 초점을 맞추고 있다. 교통대안은 혼잡을 완화시키는데 타당하고 기술적으로도 실현가능한 대안이 제시된다. 이러한 대안들은 거시 및 미시 모의실험모형을 통해 면밀히 분석 평가되며 또한 대안을 도출하고 평가하는 과정의 제시로서 교통량조사에 근거한 OD 도출, Subarea 네트워크 분석 및 통합된 네트워크 모의실험과 같은 새로운 기법들이 아울러 제시된다. 대안의 대부분은 네트워크 개선에 관련한 것이다. 반포 IC 진출입로 공사(Al), 위빙 제거를 기초로 한 서초 IC TSM(A2), 서초-양재 구간의 고속 저속 분리(A3), 헌릉 IC(A4)의 신설, 판교 JC 개선(A5), 백현 IC(A6)신설. 가장 자본 집약적인 대안은 A4, A6순이다. A1, A5, A6은 구간은 짧으나, 자본 집약적이며 어느 정도의 공사 기간이 소요된다. 가장 비용이 적게 소요되는 대안은 A2, A3이다. A2는 시행이 용이하나, A3의 경우 공사기간 중 교통분산 대책이 필요하다. A1, A6은 속도증가와 통행시간 절감의 측면에서 가장 비용대비 효율적인 것으로 분석되었다. 시뮬레이션의 한계 및 개선방안이 함께 검토되었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.605-608
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• 2010

본 논문에서는 가공되지 않은 축적된 교통 정보를 이용하여 교통 전문가와 교통공학 분야의 학생들이 손쉽게 교통 정보를 분석할 수 있는 통합 교통 정보 분석 시스템을 제안한다. 제안하는 시스템은 도시 고속도로 내의 구간과 시간, 일자를 선택하고, 선택한 영역의 교통 수집 정보를 분석하여, 교통 흐름 제어나 교통 정보 분석에 필요한 다양한 정보와 함께 속도 및 밀도, 통행량을 이용한 등고선 그래프를 제공한다.

• Journal of the Korean Society of Hazard Mitigation
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• v.8 no.1
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• pp.31-37
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• 2008

Traffic flow which is prescribed under previous traffic effect/access act is analyzed by traffic volume, V/C, mean speed on road and LOS on the intersection. These indexes based on analytical method can not consider stochastic characteristics of traffic flow. Moreover it is hard to analyze traffic flow visually in whole traffic effect area because only individual road and intersections are targeted. In this study, it is devised to show traffic flow analysis method within traffic effect area visually applying microscopic-simulation by car-following theory, and then based on this, effect analyze ways are studied according to space range plan, improvement measure establishment and etc. To execute this study, effect area is set up using V/C, and the change of traffic current around development area is analyzed using microscopic-simulation program.

• Journal of Korean Society of Transportation
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• v.23 no.5 s.83
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• pp.113-120
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• 2005

Highway geometric design aims to provide drivers with safe and efficient road conditions. Highway design method of Korea doesn't consider demand characteristics of drivers, vehicles etc. Therefore there is a gap between designer's expectation and user's behavior and it hinders to make safer roads. It is required to develop the geometric design criteria and design method based on driving characteristics to provide safe and flexible design. This study suggested a geometric design method of horizontal curves on rural 4-lane highways based on speed distribution.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.443-446
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• 2016

차량의 증가에 따라 다양한 교통문제들이 발생하고 있다. 이러한 문제를 해결하고자 IT기술과 융합된 지능형 교통시스템(ITS)의 연구가 진행되고 있다. 하지만 기존 ITS기술들은 국가별로 도로의 특성이 다양하기 때문에 쉽게 적용하기 어렵다. 그러므로 기존ITS기술들을 실험 및 테스트하기 위한 시뮬레이션 환경이 필요하다. 본 논문에서는 ITS기술들을 한국도로에 적용 할 수 있도록 하는 교정방법을 제안한다. 실험 도로는 항상 정체 현상이 발생하는 서울외곽순환고속도로를 선택하였고 실험 환경은 PTV사의 VISSIM 시뮬레이터를 이용하였다. 실험 결과 실제 속도 등고선 그래프와 시뮬레이션 환경에서의 속도 등고선 그래프의 병목현상이 발생하는 구간이 동일한 것을 확인 하였다. 또한 스테이션별 통행량 그래프를 비교하여 실제 교통량과 유사함을 확인하였다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.5D
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• pp.461-465
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• 2010

The objective of this study is to calculate road user costs that caused by the expansion work of metropolitan arterial highway and to analyze the costs that affect economic feasibility evaluation. "Taerung~Guri IC" section of Bukbu Expressway was selected as a case study. As a result, it shows that these costs could be a factor for determining economic feasibility for some projects. However, decreased capacity and free-flow speed are seriously different as period, type, length and traffic volume of work zones. These factors that decrease traffic capacity and free-flow speed should be deeply researched in the future.

• Journal of Korean Society of Transportation
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• v.20 no.3
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• pp.149-158
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• 2002

For the purpose of preciously describing real time traffic pattern in urban road network, dynamic network loading(DNL) models able to simulate traffic behavior are required. A number of different methods are available, including macroscopic, microscopic dynamic network models, as well as analytical model. Equivalency minimization problem and Variation inequality problem are the analytical models, which include explicit mathematical travel cost function for describing traffic behaviors on the network. While microscopic simulation models move vehicles according to behavioral car-following and cell-transmission. However, DNL models embedding such travel time function have some limitations ; analytical model has lacking of describing traffic characteristics such as relations between flow and speed, between speed and density Microscopic simulation models are the most detailed and realistic, but they are difficult to calibrate and may not be the most practical tools for large-scale networks. To cope with such problems, this paper develops a new DNL model appropriate for dynamic traffic assignment(DTA), The model is combined with vertical queue model representing vehicles as vertical queues at the end of links. In order to compare and to assess the model, we use a contrived example network. From the numerical results, we found that the DNL model presented in the paper were able to describe traffic characteristics with reasonable amount of computing time. The model also showed good relationship between travel time and traffic flow and expressed the feature of backward turn at near capacity.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.7
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• pp.297-306
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• 2017

Citizens want more accurate forecast information using Bus Information System. However, most bus information systems that use an average based short-term prediction algorithm include many errors because they do not consider the effects of the traffic flow, signal period, and halting time. In this paper, we try to improve the precision of forecast information by analyzing the influencing factors of the error, thereby making the convenience of the citizens. We analyzed the influence factors of the error using BIS data. It is shown in the analyzed data that the effects of the time characteristics and geographical conditions are mixed, and that effects on halting time and passes speed is different. Therefore, the halt time is constructed using Generalized Additive Model with explanatory variable such as hour, GPS coordinate and number of routes, and we used Hidden Markov Model to construct a pattern considering the influence of traffic flow on the unit section. As a result of the pattern construction, accurate real-time forecasting and long-term prediction of route travel time were possible. Finally, it is shown that this model is suitable for travel time prediction through statistical test between observed data and predicted data. As a result of this paper, we can provide more precise forecast information to the citizens, and we think that long-term forecasting can play an important role in decision making such as route scheduling.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.4
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• pp.179-188
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• 2017

It is very challenging to analyze the traffic flow in the city because there are lots of traffic accidents, intersections, and pedestrians etc. Now, even in mid-size cities Bus Information Systems(BIS) have been deployed, which have offered the forecast of arriving times at the stations to passengers. BIS also provides more informations such as the current locations, departure-arrival times of buses. In this paper, we perform the time-series analysis of the traffic flow using the data of the average trvel time and the average speed between stations extracted from the BIS. In the mid size cities, the data from BIS will have a important role on prediction and analysis of the traffic flow. We used the Dynamic Linear Model(DLM) for how to make the time series forecasting model to analyze and predict the average speeds at the given locations, which seem to show the representative of traffics in the city. Especially, we analysis travel times for weekdays and weekends separately. We think this study can help forecast the traffic jams, congestion areas and more accurate arrival times of buses.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.6
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• pp.68-77
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• 2013

This study suggested experimental study results of congestion detection method for intruding vehicle enforcement system. This congestion detection method is developed to determine optimal operation criteria of intruding vehicle enforcement system as detecting traffic congestion. In ITS sector, traffic management systems generally have used a sectional travel speed for congestion detection. However, image sensors have high error rate of congestion detection because of speed error. This study suggested comprehensive congestion detection criteria based on speed and occupancy rate using field studies. As field study results, the proposed intruding vehicle enforcement system using image sensor is capable of accurately detecting the traffic congestion using sectional speed of 20km/h and occupancy rate of 60% as congestion detection criteria.