• Title/Summary/Keyword: 신호모형

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Development of Pedestrian Delay Model at Signalized Intersections (신호교차로 보행자 지체모형 개발)

  • Chang, Hyun-ho;Yoon, Byoung-jo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.38 no.2
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    • pp.283-294
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    • 2018
  • An accurate pedestrian-delay model is essential for the pedestrian-oriented evaluation of signalized intersection (SI). The crossing behaviors of pedestrians at signalized pedestrian crosswalks (SPCs) are various, and their arrival behaviors consist of two types, random and platoon. It is natural, hence, that the behaviors of pedestrian crossing and arrival should be considered in order to estimate accurate pedestrian delay. Despite this necessity, a simple pedestrian-delay model that cannot explain these behaviors of pedestrian movements is still recommended in Highway Capacity Manual (HCM). For these reasons, a pedestrian-delay model, suitable for various SPCs and SIs, is required to make pedestrian-oriented decisions on the design and operation of various SPCs and SIs. This paper proposes a novel pedestrian-delay model that is based on the behaviors of pedestrian crossing and arrival. The proposed model consists of two sub models: the one for SPC and the other for SI. The SPC delay model was developed based on the behaviors of pedestrian crossing during pedestrian green time. The SI delay model was designed based on the behaviors of pedestrian crossing and platoon arrival. The results of a numerical simulation showed that the proposed delay model can successfully overcome the under- and overestimation problems of the HCM model with explaining various behaviors of pedestrian crossing and arrival.

배당(配當)에 대한 신호가설(信號假說)과 대리인비용가설(代理人費用假說)의 실증분석(實證分析)

  • Kim, Byeong-Su;Byeon, Yeong-Hun
    • The Korean Journal of Financial Management
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    • v.12 no.1
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    • pp.57-74
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    • 1995
  • 본 연구는 산업(産業)의 배당결정행태(配當決定行態)를 주식시장에 존재하는 비대칭적(非對稱的) 정보구조(情報構造)로 설명하고자 하는 신호가설(信號假說)과 대리인비용가설(代理人費用假說)의 검정에 관한 것이다. 배당자료의 특성과 panel자료의 사용으로 인하여 통상적인 추정 방법을 사용할 경우 문제가 발생하게 된다. 본 연구에서는 특정한 형태의 불균등 분산을 가정한 HAT모형을 대안으로 제시하였다. 모형설정검정을 위한 통계량을 도출하여 설정검정을 해본 결과 HAT모형의 실용적 타당성이 입증되었으며 Lintner모형을 응용한 배당결정모형(配當決定模型)에 HAT모형을 적용시켜 실증분석에 사용하였다. 그 결과 신호가설(信號假說)과 대리인비용가설(代理人費用假說)에 의해 모형에 포함된 변수들은 비유의적(非有意的)인 것으로 판명되어 두 가설(假設)은 모두 기각(棄却)되었다.

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Optimal Signal Times for Active Bus Signal Priority on Median Bus Lane Using Deterministic Delay Model (중앙버스전용차로상에서 결정적 지체모형을 이용한 능동형 버스우선신호의 최적 신호시간 산출방안)

  • Kim, Tae-Woon;Jeong, Young-Je;Kim, Young-Chan
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.13 no.1
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    • pp.15-25
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    • 2014
  • Bus signal priority is a name for various techniques to speed up bus public transport services at intersections with traffic signals. In this study propose methodology to optimize signal times for Early green, Green extension out of the active bus signal priority using deterministic delay model in isolated intersection on median bus lane. Fluctuation is found in the vehicle delay and person delay in the event that using this methodology redistributed to green time and checking slack green time is correct value by sensitivity analysis. As a result of the study, car delay is increased a little and person delay is decreased. As a result of slack green time sensitivity, delay is not much in it if variation of slack green time under 30%. But this methodology effectiveness is under claimed capacity if variation of slack green time over 30%.

Development of a Traffic Accident Prediction Model for Urban Signalized Intersections (도시부 신호교차로 안전성 향상을 위한 사고예측모형 개발)

  • Park, Jun-Tae;Lee, Soo-Beom;Kim, Jang-Wook;Lee, Dong-Min
    • Journal of Korean Society of Transportation
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    • v.26 no.4
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    • pp.99-110
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    • 2008
  • It is commonly estimated that there is a much higher potential for accidents at a crossroads than along a single road due to its plethora of conflicting points. According to the 2006 figures by the National Police Agency, the number of traffic accidents at crossroads is greatly increasing compared to that along single roads. Among others, crossroads installed with traffic signals have more varied influential factors for traffic accidents and leave much more room for improvement than ones without traffic signals; thus, it is expected that a noticeable effect could be achieved in safety if proper counter-measures against the hazards at a crossroads were taken together with an estimate of causes for accidents This research managed to develop models for accident forecasts and accident intensity by applying data on accident history and site inspection of crossroads, targeting four selected downtown crossroads installed with traffic signals. The research was done by roughly dividing the process into four stages: first, analyze the accident model examined before; second, select variables affecting traffic accidents; third, develop a model for traffic accident forecasting by using a statistics-based methodology; and fourth, carry out the verification process of the models.

Signal Detection in Non-Additive Noise Using Rank Statistics: Signal-Dependent Noise and Random Signal Detection (비가산성 잡음에서 순위 통계량을 이용한 신호 검파 : 신호의존성 잡음과 확률 신호 검파)

  • 송익호;김상엽;김선용;손재철
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.15 no.11
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    • pp.955-961
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    • 1990
  • Test statistics are obtained for detection of weak signals in signal-dependent noise using rank statistics. A generalized model is used in this paper in order to consider non-additivenoise as well as purely-additive noise. Locally optimum rank detectors for the model are shown to have similarity to locally optimum detectors and to be generalizations of these for the purely-additive noise model. A similar result is obtained for multi-input cases.

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Investigation of a Left-Turn Phase Time Estimation Method for TRC Operation (실시간 신호시스템의 좌회전 신호시간 추정방법에 관한 연구 (검지기 장애발생시를 중심으로))

  • An, Hye-Jin;Nam, Baek;Lee, Sang-Su
    • Journal of Korean Society of Transportation
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    • v.25 no.5
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    • pp.33-42
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    • 2007
  • The current left-turn split model adopted in COSMOS has an inherent limitation when a loop detector in the left-turn lanes was disconnected for a period of time. In this instance, the current model always allocated minimum green time to the left-turn phase, thus optimal split and efficient signal operation for the intersection was not guaranteed. In this paper, four mathmatical models using detector information of the intersection and four empirical models using historical profiles were developed and investigated for different traffic conditions to improve the operational efficiency of the intersection. From the model evaluation test, the empirical model using a four-week historical profile produced the least error among the eight models investigated. NETSIM simulation test results also showed that the proposed model could give significantly reduced delay time as compared to the current model. From these results, the operational efficency of the signalized intersections under the real-time control can be greatly improved by using the model proposed in case of the left-turn detector failure.

Determination Method of Signal Timing Plan Using Travel Time Data (통행시간 자료를 이용한 신호시간계획의 결정 방법)

  • Jeong, Young-Je
    • The Journal of the Korea Contents Association
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    • v.18 no.3
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    • pp.52-61
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    • 2018
  • This research suggested the traffic signal timing calculation model for signal intersections based on sectional travel time. A detection system that collects sectional travel time data such as Urban Transport Information System(UTIS) is applied. This research developed the model to calculate saturation flow rate and demand volume from travel time information using a deterministic delay model. Moreover, this model could determine the traffic signal timings to minimize a delay based on Webster model using traffic demand volume. In micro simulation analysis using VISSIM and its API ComInterface, it checked the saturation conditions and determined the traffic signal timings to minimize the intersection delay. Recently, sectional vehicle detection systems are being installed in various projects, such as Urban Transportation Information System(UTIS) and Advanced Transportation Management System(ATMS) in Korea. This research has important contribution to apply the traffic information system to traffic signal operation sector.

Development of an Average Green Time Estimation Model for Proper Evaluation of Traffic Actuated Operation (감응식 신호운영의 평가를 위한 평균녹색시간 추정모형 개발)

  • KIM, Jin Tae;CHANG, Myungsoon;SON, Bongsoo;DOH, Tcheol Woong
    • Journal of Korean Society of Transportation
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    • v.20 no.3
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    • pp.159-168
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    • 2002
  • The Highway Capacity Manual(HCM) suggests estimating the average green time for the performance evaluation of the traffic actuated operation and Provides the average green time estimation model. However, the model provides with much room for improvements. This document proposes a new analytical model that overcomes the shortage of the HCM model. The average green times estimated by the HCM model and the proposed model were compared. A computer program using the proposed model was coded for the study, while the ACT348 program was used for the implementation of the HCM model Through the comparison study based on the 1,196 hypothetical simulation data surrogating field data, it was found that the average green times estimated by the proposed model yields much nicer one-to-one linear relationship to the simulation results than the ones from the HCM model in both exclusive-only and shared-permitted cases. The R2 values of the proposed and the HCM models with those cases are 0.90 and 0.56, and 0.86 and 0.57, respectively.

AOA Estimation of Angle-Perturbed Sources for Wireless Communications (무선통신에서 각 처짐 신호 도래각 추정)

  • Kim, Suk-Chan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.8C
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    • pp.769-774
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    • 2005
  • If the angle of arrival (AOA) of a source is perturbed due to some reasons in a statistical way as in the environment of wireless mobile communications, a new model appropriate for such environment should be used instead of the point source model. In this paper, an angel-perturbed source model is proposed and an estimation method based on the eigen-decomposition tecklique is investigated under the model. The asymptotic distribution of the estimation errors is obtained to observe the statistical properties.

Development and Application of Traffic Accident Forecasting Model for Signalized Intersections (Four-Legged Signalized Intersections In Kwang-Ju) (신호교차로 교통사고 예측모형의 개발 및 적용 (광주광역시 4-지 신호교차로를 중심으로))

  • 하태준;강정규;박제진
    • Journal of Korean Society of Transportation
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    • v.19 no.6
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    • pp.207-218
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    • 2001
  • As a city and industries are developed rapidly, a traffic accident and congestion take places on the road link become serious and it can be a large problem of the society in the future. Especially, most of the traffic accidents on the signalized intersection are caused by the human factor, vehicle and environmental factor mutually. The relation of the traffic accident and volume is acting on the outbreak of the traffic accident and the mistake of driver altogether as a major cause. The purpose of this paper is to develop a model for the forecasting of the traffic accident and to use research data gained to predict many traffic accidents. The data of this study were used with real one of the 73 areas of the four-legged signalized intersection in Kwang-ju city from 1996 to 1998 for three years to develop a model for the forecasting of the traffic accident. The statistical methods used in this paper are the principal component, regression and correlation analysis. We studied accident models to find out useful data from the statistics method and applied the data to the different area of the Choun-La province for the verification of the model. So, the result of this paper showed a reasonable model for the forecasting or the traffic accident and possibility of the model for simulating on real case. Finally, This study would be made of a study continually for the safe design and plan for the four-legged signalized intersection.

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