• Title/Summary/Keyword: 교차로 교통 혼잡

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Queue Length Based Real-Time Traffic Signal Control Methodology Using sectional Travel Time Information (구간통행시간 정보 기반의 대기행렬길이를 이용한 실시간 신호제어 모형 개발)

  • Lee, Minhyoung;Kim, Youngchan;Jeong, Youngje
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.13 no.1
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    • pp.1-14
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    • 2014
  • The expansion of the physical road in response to changes in social conditions and policy of the country has reached the limit. In order to alleviate congestion on the existing road to reconsider the effectiveness of this method should be asking. Currently, how to collect traffic information for management of the intersection is limited to point detection systems. Intelligent Transport Systems (ITS) was the traffic information collection system of point detection method such as through video and loop detector in the past. However, intelligent transportation systems of the next generation(C-ITS) has evolved rapidly in real time interval detection system of collecting various systems between the pedestrian, road, and car. Therefore, this study is designed to evaluate the development of an algorithm for queue length based real-time traffic signal control methodology. Four coordinates estimate on time-space diagram using the travel time each individual vehicle collected via the interval detector. Using the coordinate value estimated during the cycle for estimating the velocity of the shock wave the queue is created. Using the queue length is estimated, and determine the signal timing the total queue length is minimized at intersection. Therefore, in this study, it was confirmed that the calculation of the signal timing of the intersection queue is minimized.

Operation Analysis of Downstream Intersections at Urban Freeway Off-ramps (도시고속도로 진출램프 하류부교차로 운영 분석 (중동 IC 사례 분석을 중심으로))

  • Jeon, Jae-Hyeon;Kim, Young-Chan;Jeoung, Young-Je
    • Journal of Korean Society of Transportation
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    • v.26 no.4
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    • pp.7-16
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    • 2008
  • Severe congestion is happening at urban freeway off-ramps in Seoul. Major causes of congestion at off-ramps are a shortage of capacity and inefficient signal operations at the downstream intersection at off-ramps. It is necessary to control congestion by improving design or operations in the downstream intersection. In this study, the authors analyzed the case of the Jungdong interchange that was improved for design in the downstream intersection. When a freeway and an arterial road cross, diamond interchanges are usually selected with a single-point urban interchange (SPUI) as an alternative. To compare the effectiveness of a diamond interchange with a SPUI, the authors applied these two configurations to the Jungdong interchange using a simulation. The result of the analysis shows that congestion at off-ramps in diamond interchanges can be reduced by improving signal operations such as the application of "4 phase with overlaps" and that diamond interchanges are more efficient than a SPUI with a frontage road. Efficient operation of the downstream intersection by these findings can minimize congestion of not only the downstream intersection but also the freeway mainline.

Conv-LSTM-based Range Modeling and Traffic Congestion Prediction Algorithm for the Efficient Transportation System (효율적인 교통 체계 구축을 위한 Conv-LSTM기반 사거리 모델링 및 교통 체증 예측 알고리즘 연구)

  • Seung-Young Lee;Boo-Won Seo;Seung-Min Park
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.2
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    • pp.321-327
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    • 2023
  • With the development of artificial intelligence, the prediction system has become one of the essential technologies in our lives. Despite the growth of these technologies, traffic congestion at intersections in the 21st century has continued to be a problem. This paper proposes a system that predicts intersection traffic jams using a Convolutional LSTM (Conv-LSTM) algorithm. The proposed system models data obtained by learning traffic information by time zone at the intersection where traffic congestion occurs. Traffic congestion is predicted with traffic volume data recorded over time. Based on the predicted result, the intersection traffic signal is controlled and maintained at a constant traffic volume. Road congestion data was defined using VDS sensors, and each intersection was configured with a Conv-LSTM algorithm-based network system to facilitate traffic.

신호제어를 고려한 가로망 설계모형의 구축에 대한 연구

  • 강환민;박창호
    • Proceedings of the KOR-KST Conference
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    • 1998.10b
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    • pp.115-115
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    • 1998
  • 가로망은 사회의 발전과 더불어 날로 늘어나고 있는 통행수요를 직접적으로 처리하게 되는 기반시설이다. 따라서 가로망의 구성과 운영은 심각하게 대두되고 있는 교통혼잡 등의 제반문제들을 해결하기 위해 기본적으로 고려되어야 한다. 이를 위해서 연구되어온 가로망 설계 모형들은 새로운 도로의 건설이나 기존 도로의 확장 등을 통해 가로망을 조정하여, 사용자들의 선택에 영향을 줌으로써 통행 흐름을 원활하게 하고자 한다. 이러한 가로망 설계 과정에서 사용자들에 의해서 초래된 통행비용의 개선과 이를 위해 사용된 투자비용 사이의 관계를 고려하여 적절한 대안을 선택하게 된다. 일반적으로 도시부의 경우, 차량들의 통행패턴은 가로망의 물리적 구성(기하구조, 용량 등)뿐만 아니라, 신호제어(주기, 녹색시간 등)에 의해서 결정된다. 그러므로 가로망 설계 모형에서 고려되는 사용자의 통행비용의 경우, 단순히 가로망의 통행시간 뿐만 아니라 신호제어에 의해서 부가되는 지체도 고려해야 하며, 이를 통해 가로망의 계획단계에서 중요하게 생각해야하는 요소의 하나인 차량의 이동성과 접근성의 부여도 가능하게 될 것이다. 즉, 이동성을 중요시하는 도로와 접근성을 위주로 하는 도로 각각의 기능에 부합하는 가로망 설계가 필요한 것이다. 위에서 언급한 것처럼 기존의 가로망 설계모형의 경우, 단순히 용량의 변화에 대한 링크 통행시간과 이로 인한 통행량의 변화만을 고려하고 있는 상황이다. 하지만, 도시부에서 실제 차량의 통행패턴은 단순히 도로의 기하학적 용량뿐만 아니라, 교차로에서의 신호제어에 의한 지체에도 상당한 영향을 받게 되며, 가로망 설계 모형에서 이를 반영할 수 있어야 한다. 따라서, 본 논문에서는 이러한 신호제어의 영향들을 고려함으로써 가로망 설계 과정에서 가로망의 상반된 역할인 이동성과 접근성의 비교가 가능한 보다 현실적인 가로망 설계 모형을 구축하고자 한다. 지금까지 소개된 가로망 설계모형들은 용량변화에 대한 설계변수의 형태에 따라 이산적 가로망 설계 모형과 연속적 가로망 설계모형으로 나뉘어지게 된다. 본 논문의 경우, 계산속도의 향상 측면에서는 연속적 가로망 설계 모형을 도입할 수 있지만, 이때 요구되는 도로용량이 이산적인 변수(차선 수)로 결정되어야만 신호제어 변수를 결정할 수 있기 때문에, 이산적 가로망 설계 모형이 사용된다. 하지만, 이산적 설계모형의 경우 조합최적화 문제이므로 정확한 최적해를 구하기 위해서는 상당한 시간이 소요되며, 경우에 따라서는 국부 최적해에 빠지게 된다. 이러한 문제를 극복하기 위해, 우선 이상적 모형의 근사화, 혹은 조합최적화문제를 위해 개발된 Simulated Annealing기법의 적용, 연속적 모형의 변수를 이산화하는 방법 등 다양한 모형들을 고려해 본 뒤, 적절한 모형을 적용할 것이다. 가로망 설계 모형에서 신호제어를 고려하기 위해서는 주어진 가로망에 대한 통행 배정과정에서 고려되는 통행시간을 링크통행시간과 교차로 지체시간을 동시에 고려해야 하는데, 이러한 문제의 해결을 위해서 최근 활발히 논의되고 있는 교차로에서의 신호제어에 대응하는 통행배정 모형을 도입하여 고려하고자 한다. 이를 위해서 지금까지 연구되어온 Global Solution Approach와 Iterative Approach를 비교, 검토한 뒤 모형에 보다 알맞은 방법을 선택한다. 차량의 교차로 통행을 고려하는 performance function의 경우 비신호 교차로와 신호교차로에 대한 적절한 비교가 현재로서는 고려되고 있지 못하기 때문에, 구성되는 가로망의 경우 신호교차로들로만 구성되며, 부득이한 경우 입체교차의 형태로 구성되는 것으로 가정한다. 실제 가로망의 경우, 교통향이 많은 도시부의 경우 주가로망은 대부분 신호교차로와 입체교차로 구성되기 때문에 가능할 것으로 생각된다. 기존의 신호제어 모형과 가로망 설계모형을 결합하여 통합된 가로망 설계모형의 구축하기 위해, 기존의 연구결과들을 종합하여 보다 적절한 모형을 선택하고, 개선하며, 이의 적용성을 시험하기 위해서, 가상 가로망을 구성하여 모형의 적용 결과를 분석한다.

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A Comparative Study on the Mean Control Delay by Signalized Intersections by the Analysis Model (분석모형별 신호교차로 평균제어지체 비교·분석 연구)

  • Lee, kyu soon;Park, Jin Woo;Sung, Sam Hyun;Lee, Tak Soo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.1
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    • pp.83-93
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    • 2020
  • The time delay is used as a major indicator of the level of traffic congestion on traffic crossroads. For this purpose, the Daechi Station intersection where traffic congestion occurs and the Yeongdong 5 Bridge intersection where the traffic condition is relatively good, and the average lag time based on the field survey with the lag time calculated various simulation programs. comparison of the average control delay of the field survey data the signal intersection analysis model the KHCS Dechi intersection 7.7 second / vehicle Young dong 5 bridge intersection 7.9 second / vehiclehe VISSIM showed a difference Dechi intersection 21.1 second / vehicle and Young dong 5 bridge intersection 8.1 second / vehiclehe T7F showed a difference Dechi intersection 3.3 second / vehicle and Young dong 5 bridge intersection 9.3 second / vehicle. Analyzing the same intersection proved that the results differed from one simulation model to another.

Development of Optimum Traffic Safety Evaluation Model Using the Back-Propagation Algorithm (역전파 알고리즘을 이용한 최적의 교통안전 평가 모형개발)

  • Kim, Joong-Hyo;Kwon, Sung-Dae;Hong, Jeong-Pyo;Ha, Tae-Jun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.3
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    • pp.679-690
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    • 2015
  • The need to remove the cause of traffic accidents by improving the engineering system for a vehicle and the road in order to minimize the accident hazard. This is likely to cause traffic accident continue to take a large and significant social cost and time to improve the reliability and efficiency of this generally poor road, thereby generating a lot of damage to the national traffic accident caused by improper environmental factors. In order to minimize damage from traffic accidents, the cause of accidents must be eliminated through technological improvements of vehicles and road systems. Generally, it is highly probable that traffic accident occurs more often on roads that lack safety measures, and can only be improved with tremendous time and costs. In particular, traffic accidents at intersections are on the rise due to inappropriate environmental factors, and are causing great losses for the nation as a whole. This study aims to present safety countermeasures against the cause of accidents by developing an intersection Traffic safety evaluation model. It will also diagnose vulnerable traffic points through BPA (Back -propagation algorithm) among artificial neural networks recently investigated in the area of artificial intelligence. Furthermore, it aims to pursue a more efficient traffic safety improvement project in terms of operating signalized intersections and establishing traffic safety policies. As a result of conducting this study, the mean square error approximate between the predicted values and actual measured values of traffic accidents derived from the BPA is estimated to be 3.89. It appeared that the BPA appeared to have excellent traffic safety evaluating abilities compared to the multiple regression model. In other words, The BPA can be effectively utilized in diagnosing and practical establishing transportation policy in the safety of actual signalized intersections.

Development of Vehicle Arrival Time Prediction Algorithm Based on a Demand Volume (교통수요 기반의 도착예정시간 산출 알고리즘 개발)

  • Kim, Ji-Hong;Lee, Gyeong-Sun;Kim, Yeong-Ho;Lee, Seong-Mo
    • Journal of Korean Society of Transportation
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    • v.23 no.2
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    • pp.107-116
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    • 2005
  • The information on travel time in providing the information of traffic to drivers is one of the most important data to control a traffic congestion efficiently. Especially, this information is the major element of route choice of drivers, and based on the premise that it has the high degree of confidence in real situation. This study developed a vehicle arrival time prediction algorithm called as "VAT-DV" for 6 corridors in total 6.1Km of "Nam-san area trffic information system" in order to give an information of congestion to drivers using VMS, ARS, and WEB. The spatial scope of this study is 2.5km~3km sections of each corridor, but there are various situations of traffic flow in a short period because they have signalized intersections in a departure point and an arrival point of each corridor, so they have almost characteristics of interrupted and uninterrupted traffic flow. The algorithm uses the information on a demand volume and a queue length. The demand volume is estimated from density of each points based on the Greenburg model, and the queue length is from the density and speed of each point. In order to settle the variation of the unit time, the result of this algorithm is strategically regulated by importing the AVI(Automatic Vehicle Identification), one of the number plate matching methods. In this study, the AVI travel time information is composed by Hybrid Model in order to use it as the basic parameter to make one travel time in a day using ILD to classify the characteristics of the traffic flow along the queue length. According to the result of this study, in congestion situation, this algorithm has about more than 84% degree of accuracy. Specially, the result of providing the information of "Nam-san area traffic information system" shows that 72.6% of drivers are available.

Time Series Analysis for Traffic Flow Using Dynamic Linear Model (동적 선형 모델을 이용한 교통 흐름 시계열 분석)

  • Kim, Hong Geun;Park, Chul Young;Shin, Chang Sun;Cho, Yong Yun;Park, Jang Woo
    • 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.

Functional regression approach to traffic analysis (함수회귀분석을 통한 교통량 예측)

  • Lee, Injoo;Lee, Young K.
    • The Korean Journal of Applied Statistics
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    • v.34 no.5
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    • pp.773-794
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    • 2021
  • Prediction of vehicle traffic volume is very important in planning municipal administration. It may help promote social and economic interests and also prevent traffic congestion costs. Traffic volume as a time-varying trajectory is considered as functional data. In this paper we study three functional regression models that can be used to predict an unseen trajectory of traffic volume based on already observed trajectories. We apply the methods to highway tollgate traffic volume data collected at some tollgates in Seoul, Chuncheon and Gangneung. We compare the prediction errors of the three models to find the best one for each of the three tollgate traffic volumes.

A Study on the Analysis of Present Navigation Method at the Ulsan waterways from the viewpoint of Pilot (도선사의 관점에서 본 울산항 도선구의 통항 현황 분석에 관한 연구)

  • Choi, Kei-Yel;Lee, Dong-Sup;Park, Young-Soo
    • Journal of Navigation and Port Research
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    • v.35 no.6
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    • pp.469-475
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    • 2011
  • Ulsan pilotage is one of the most busy pilots boarding among the korean pilotages. The route layout of ulsan port is simple but the complex degree of marine traffic flow is high because there are many navigating ships from/to piers and anchorages nearby route. So, this paper is surveyed and analysised the navigating dangerous factors as to navigation danger elements in/near the route, the proper distance between piers at the ulsan waterways. And this research assures the same place where shiphandling bunder is occurred to compare the danger sense of pilot with environment stress to represented the mariner's shiphandling stress quantitatively at the ulsan route.