• Title/Summary/Keyword: 통행길이

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A Study on the presumption of travel time based on the cumulative curve method (누적곡선을 이용한 통행시간 추정방안에 관한 연구)

  • 김승일
    • Proceedings of the KOR-KST Conference
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    • 1998.10a
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    • pp.11-20
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    • 1998
  • 정적 통행배분모형은 도로 건설 등 공급부문에의 적용은 가능하나 통행량 및 혼잡의 시간적 공간적 변화를 고려하지 못하여 수요관리에서는 교통량 및 비용에 대한 관측치와 모형의 결과치가 상이한 문제가 있다. 이에 동적배분모형의 다양한 접근방법이 시도되고 있는데 그 중 Simulation기법을 개발하고자 하였다. 모형은 개별차량의 시공간상 움직임을 포현하고자 절대시간이 가장 이른 차량순으로 시뮬레이션을 함으로써 선입선출(FIFO)을 가능하게 하였다. 각 차량별 지체시간의 계산은 대기행렬 이론을 기초로 한 누적곡선법을 적용하여 도출하였다. 개별차량 Simulation은 시간축으로 확장된 연속류 Network상에서 각 차량의 도착 및 출발할 노드와 시간대를 결정하면 모든 지점에서 누적도착, 출발곡선을 그릴 수 있으며 이를 통해 도로구간에 있어 시간대별 통행시간, 밀도, 속도 등을 파악할 수 있다. 또한 합류부의 용량와 와해현상과 분류부의 용량변화현상 제약 및 Queue길이 제약이 이루어지도록 하였다. 개발된 모형의 검증은 영동대교 북단 강변도로 진출입부 자료를 실측하여 사용하였다. 모형은 합류부 용량와해의 적용 전과 후의 결과를 각각 실측치와 비교하였다. 용량와해현상을 적용한 모형에서 MAPE 10%미만의 우수한 예측력을 보였다. 이는 누적곡선을 이용한 Simulation모형이 현실에 가까움을 의미하는 것이며, 합류부 용량와해현상의 관계식을 보다 정교하게 도출하고 분류부에도 이를 적용한다면 모형의 예측력은 더욱 향상될 것으로 보인다.

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Adaptability Analysis of Emergency Preemption System in Field Operation (긴급차량 우선신호시스템 현장운영에 따른 적용성 분석)

  • Kim, Sang-Yeon;Ko, Kwang Yong;Park, Soon Yong;Jeong, Young Gje;Lee, Choul Ki
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.3
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    • pp.95-109
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    • 2017
  • The golden time of emergency vehicle is directly connected to the public safety. Therefore, national attention has increased to cut down the emergency vehicle's travel time. In order to shorten the intial dispatch time of it, emergency preemption system was installed at five intersections, and after test operation, whether it could be introduced in the country was estimated. We analyzed the effect of the traffic volume, emergency vehicle's travel time, and queue length under preemption and non-preemption. In the verification of the emergency preemption system, it was confirmed that the emergency vehicle's travel time was reduced from 350% to 24% compared to non-preemption system(TOD). In the saturated condition, queue length were remained 15 minutes and near saturated condition was about 30 or 45 minutes. At the non-saturated condition, the queue length's difference between emergency preemption system and general signal was small.

Link Travel Time Estimation Using Uncompleted Link-passing GPS Probe Data in Congested Traffic Condition (혼잡상황에서 링크미통과 GPS 프로브데이터를 활용한 링크통행시간 추정기법 개발)

  • Sim, Sang-U;Choe, Gi-Ju
    • Journal of Korean Society of Transportation
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    • v.24 no.5 s.91
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    • pp.7-18
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    • 2006
  • Data for travel information Provision are regularly aggregated to Provide travel time information in a reliable and convenient manner and to manage traffic data and information efficiently. In most of practices in Korea, the GPS based travel time data are mainly aggregated every 5 minutes As a result, some probes can't pass by a link within aggregation interval and thereby create uncompleted link passing data. But these data are mostly generated during the congested times and therefore a method that uses such uncompleted link passing data are required. This study estimated queue dissipation length, green time and cycle that use GPS spot speed and developed a link travel time estimation method using such uncompleted link passing data. It also presents method and the overall process of using such data to estimate link travel time in a more accurate manner. As a result, MAPE 1.98% and MAE 4.75 sec of link travel time accuracy improvement has been reported, which is not much different from the real link travel time. The method Proposed here would be an alternative to increase the amount of GPS probe data, especially in congested urban arterial case.

Development of Vehicle Queue Length Estimation Model Using Deep Learning (딥러닝을 활용한 차량대기길이 추정모형 개발)

  • Lee, Yong-Ju;Hwang, Jae-Seong;Kim, Soo-Hee;Lee, Choul-Ki
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.2
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    • pp.39-57
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    • 2018
  • The purpose of this study was to construct an artificial intelligence model that learns and estimates the relationship between vehicle queue length and link travel time in urban areas. The vehicle queue length estimation model is modeled by three models. First of all, classify whether vehicle queue is a link overflow and estimate the vehicle queue length in the link overflow and non-overflow situations. Deep learning model is implemented as Tensorflow. All models are based DNN structure, and network structure which shows minimum error after learning and testing is selected by diversifying hidden layer and node number. The accuracy of the vehicle queue link overflow classification model was 98%, and the error of the vehicle queue estimation model in case of non-overflow and overflow situation was less than 15% and less than 5%, respectively. The average error per link was about 12%. Compared with the detecting data-based method, the error was reduced by about 39%.

Path-based Dynamic User Equilibrium Assignment Model using Simulation Loading Method (시뮬레이션 부하기법을 이용한 경로기반 동적통행배정모형의 개발)

  • 김현명;임용택;백승걸
    • Journal of Korean Society of Transportation
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    • v.19 no.3
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    • pp.101-113
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    • 2001
  • Since late 1970s. one of the principal research areas in transportation problem is dynamic traffic assignment (DTA). Although many models have been developed regarding DTA, yet they have some limits of describing real traffic patterns. This reason comes from the fact that DTA model has the time varying constraints such as state equation, flow propagation constraint, first in first out(FIFO) rule and queuing evolution. Thus, DTA model should be designed to satisfy these constraints as well as dynamic route choice condition, dynamic user equilibrium. In this respect, link-based DTA models have difficulty in satisfying such constraints because they have to satisfy the constraints for each link, while path-based DTA models may easily satisfy them. In this paper we develop a path-based DTA model. The model includes point queue theory to describe the queue evolution and simulation loading method for depicting traffic patterns in more detail. From a numerical test, the model shows promising results.

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A study of signal control with COSMOS on National Highway (신신호시스템(COSMOS)의 일반국도 적용에 대한 연구)

  • Baek Hyon-Su;Kim Young-Chan;Moon Hak-Yong;Kim Jong-Sik
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.3 no.2 s.5
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    • pp.29-40
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    • 2004
  • The performance of the National Highway is raised, but the capacity of the signalized intersection on the National Highway is low. It's operated by TOD(Time Of Day) mode. To evaluate of the performance of COSMOS(Cycle, Offset, Split Model for Seoul), a real time traffic adaptive signal control system, on the National Highway, studied volume, travel time and queuing length at TOD control and TRC(Traffic responsive Control). Consequently, the average travel speed at TRC is high $2.9\~16.7$km/h then the average travel speed at TOD control. And te queuing length at TRC is low $15\~196m$ then the queuing length at TOD control.

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A Study on the Preemption Control Strategies Considering Queue Length Constraints (대기행렬길이 제약조건을 고려한 Preemption 제어 전략에 관한 연구)

  • Lee, Jae-Hyeong;Lee, Sang-Su;O, Yeong-Tae
    • Journal of Korean Society of Transportation
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    • v.27 no.2
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    • pp.179-187
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    • 2009
  • Currently, the signalized intersections in Korea are operated without providing an emergency vehicle preemption control strategy. Thus, it might threaten the safety of the pedestrians and drivers on highways when an emergency vehicle faces congested traffic conditions. The existing preemption control is activated when an emergency vehicle is detected along a path. This enables emergency vehicles to progress uninterrupted, but it also increases the delay of other vehicles. In this paper, a revised preemption control strategy considering queue length restrictions is proposed to make both a progressive movement of an emergency vehicle and reduce delay of other vehicles simultaneously. By applying the preemption control strategy through a simulation study, it was shown that delay of an emergency vehicle decreased to 44.3%-96.1% and speed increased to 8.8%-42.0% in all 9 cases as compared with a conventional signal control. The existing preemption control is superior for oversaturated conditions (v/c >1.0) or a link length less than 200m. However, the preemption control considering queue length constraints shows better performance than the existing preemption control when the v/c is less than 0.8 and a link length is longer than 500m.

Determining Transit Vehicle Dispatching Time (최적 배차시각 설정에 관한 해석적 연구)

  • Park, Jun-Sik;Go, Seung-Yeong;Kim, Jeom-San;Gwon, Yong-Seok
    • Journal of Korean Society of Transportation
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    • v.25 no.3
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    • pp.137-144
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    • 2007
  • This study involves an analytical approach to determine transit dispatching schedules (headways) Determining a time schedule is an important process in transit system planning. In general, the transit headway should be shorter during the peak hour than at non-peak hours for demand-responsive service. It allows passengers to minimize their waiting time under inelastic, fixed demand conditions. The transit headway should be longer as operating costs increase, and shorter as demand and waiting time increase. Optimal headway depends on the amount of ridership. and each individual vehicle dispatching time depends on the distribution of the ridership. This study provides a theoretical foundation for the dispatching scheme consistent with common sense. Previous research suggested a dispatching scheme with even headway. However, according to this research, that is valid for a specific case when the demand pattern is uniform. This study is a general analysis expanding that previous research. This study suggests an easy method to set a time table without a complex and difficult calculation. Further. if the time axis is changed to the space axis instead, this study could be expanded to address the spacing problems of some facilities such as roads. stations, routes and others.