• Title/Summary/Keyword: 교통량 측정

Search Result 264, Processing Time 0.027 seconds

Dynamic Control of Coordinated Traffic Signals for Minimizing Queue-lengths (대기 차량 최소화를 위한 동적 교통 신호연동 모델)

  • 윤경섭
    • Proceedings of the KOR-KST Conference
    • /
    • 1998.10a
    • /
    • pp.196-205
    • /
    • 1998
  • 교통신호에서 주로 고려되는 변수는 신호주기(cycle length), 녹색시간(green split), 옵셋(offset)그리고 좌회전 현시순서(left-turn phase sequence)로 구성된다. 기존의 대부분의 연동 모델들은 고정된 주기하에서 평균적인 유입 교통량을 측정한 후, 선형최적화 이론을 적용하여 최적 신호를 산출한다. 그러나 이 방법은 어디까지나 평균적인 데이터에 대해서 계산을 한 것이기 때문에 실시간 최적화를 제공하기가 어렵다. 본 연구에서는 평균 차량 통행량 대신 실시간으로 입력되는 차량 대기행렬, 차량 도착률을 기초로 대기차량을 최소화하는 동적 신호시간 산출 모델을 개발하였다. 본 모델에서는 Peytechew가 제안한 각 진입로에서의 대기 차량 예측 모델을 기초로 하여 다음 주기에서의 차량 대기 행렬을 예측한 후, 선형 최적화 이론을 적용하여 신호시간을 산출한다. 본 모델에서 산출된 신호주기와 녹색시간은 대기차량길이를 최소화하는 신호 시간으로서 교차로간의 연동효과를 고려하여 실시산 교통상황에 따라 주기별로 변화한다. 본 모델은 3개의 교차로로 구성된 네트워크를 대상으로 적용하였다. 실험 네트워크의 주도로 교통량은 부도로의 교통량 보다 많다고 가정하였으며 각 링크사이에서의 차량 진출입은 없다고 보았다.

  • PDF

해상교통량 추정기법에 관한 연구

  • Mun, Seong-Bae;Lee, Chun-Gi;Jeon, Seung-Hwan;Jeong, Eun-Seok;Song, Jae-Uk;Jeong, U-Ri
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
    • /
    • 2013.06a
    • /
    • pp.249-251
    • /
    • 2013
  • 해상교통안전에 영향을 미치는 여러 가지 해상 개발사업으로 인하여 발생할 수 있는 항해안전의 위험요인을 전문적으로 측정하고 평가하는 것으로 '해상교통안전진단제도'가 있다. 이제도의 주요 평가항목에는 해상교통 현황조사, 해상교통 현황측정, 해상 교통시스템 적정성 평가 및 해상교통 안전대책이 있다. 특히 해상교통 현황측정의 세부 항목 중에는 진단 대상 항만 또는 항로가 추정된 미래의 해상교통량을 수용할 수 있는지를 평가하고 필요 시 관련 해역의 교통 흐름을 조정할 목적으로 수행하는 해상교통혼잡도 평가 있다. 이 연구는 현재 교통혼잡도 평가를 위한 미래 해상교통량 추정기법의 문제점의 현황과 이를 개선하여 신뢰도 있는 교통량 예측이 가능한 통계기법을 개발하고자 하는 것이다.

  • PDF

A Novel Vehicle Counting Method using Accumulated Movement Analysis (누적 이동량 분석을 통한 영상 기반 차량 통행량 측정 방법)

  • Lim, Seokjae;Jung, Hyeonseok;Kim, Wonjun;Lee, Ryong;Park, Minwoo;Lee, Sang-Hwan
    • Journal of Broadcast Engineering
    • /
    • v.25 no.1
    • /
    • pp.83-93
    • /
    • 2020
  • With the rapid increase of vehicles, various traffic problems, e.g., car crashes, traffic congestions, etc, frequently occur in the road environment of the urban area. To overcome such traffic problems, intelligent transportation systems have been developed with a traffic flow analysis. The traffic flow, which can be estimated by the vehicle counting scheme, plays an important role to manage and control the urban traffic. In this paper, we propose a novel vehicle counting method based on predicted centers of each lane. Specifically, the centers of each lane are detected by using the accumulated movement of vehicles and its filtered responses. The number of vehicles, which pass through extracted centers, is counted by checking the closest trajectories of the corresponding vehicles. Various experimental results on road CCTV videos demonstrate that the proposed method is effective for vehicle counting.

Development of Auto Traffic Light Control System for Prevention of Traffic Jam (교통 정체 예방을 위한 자동 신호등 제어시스템 개발)

  • Beck, Kwang-Moo;Shin, Ji-Hwan;Park, Mu-Hun
    • Journal of the Institute of Convergence Signal Processing
    • /
    • v.15 no.4
    • /
    • pp.148-154
    • /
    • 2014
  • This paper suggests a new system based on image-processed information which is designed to control traffic light by measuring two-way traffic at the same time with a surveillance camera. With this system, the existing way of using one camera for one lane or loop coil will be improved to the more effective way of using only one camera to monitor a two-way, 8 lane roads statistically. Car images can be detected clearly even in irregular condition because of the background updating in real time. In addition, more accurate measurement is possible to users by selecting extra attention-needed regions. The automatic traffic light controlling algorithm, suggested in this paper, will prevent users and drivers from wasting their time and energy by controlling the number of traffic in advance.

Analysis of Traffic Noise for Single and Double Layered Porous Pavement with SPB Method -National Route 1, Sejong-Si Section- (SPB측정법에 의한 복층 및 단층 다공성포장의 소음분석 -국도 1호선 세종시 구간-)

  • Yoo, In-Kyoon;Lee, Su-Hyung;Han, Dae-Seok
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.21 no.9
    • /
    • pp.92-102
    • /
    • 2020
  • Porous pavement (PP) has attracted attention as a new alternative measure against road traffic noise. PP refers to pavement that reduces the fines in the asphalt mixture to form voids. These voids can reduce traffic accidents and friction noise. For active application, verification of the noise reduction effect is required. In this study, the noise reduction of single-layer PP(SLPP) and double layer PP(DLPP) was analyzed. First, the Sejong section was selected, and traffic noise was measured using the SPB method on the roadside. The traffic volume, speed, and mixing ratio of large vehicles were measured. As a result, the DLPP was evaluated to be 7.95 dB(A) smaller on average and 7.57dB(A) smaller at the 95% reliability level than the SLPP. The traffic volume was more influential than the speed and the mixing rate of large vehicles. As the traffic volume increased, the noise increased, but the difference in noise between the two pavements decreased gradually. The results showed that the most effective way to reduce road traffic noise is to change the road pavement rather than reduce traffic speed, restrict traffic for heavy vehicles, or reduce traffic volume.

A Case Study of Panoramic Section Image Collection Method for Measuring Density - with matched images in the Seoul Beltway Sapaesan Tunnel - (밀도측정을 위한 구간영상 최적 수집주기 결정 연구(서울 외곽순환도로 사패산 터널구간을 대상으로))

  • Park, Bumjin;Roh, Chang-Gyun;Kim, Jisoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.13 no.4
    • /
    • pp.20-29
    • /
    • 2014
  • Density is applied both three major macroscopic traffic variables (traffic volume, speed, and density) and two measures of effectiveness (MOE) for level of service (LOS) on highway (density and V/C). Especially, it is known for the most accurate MOE on evaluating the LOS of highway. Despite such importance, there is a lack of study on density relatively than other variables for its difficulty of measurement. Existing density estimation methods have some limitations such as density values of same traffic flow vary with collecting time. In this study, we researched actual density measuring method with panoramic image, after each CCTV images in the Sapaesan Tunnel on Seoul Ring Expressway are matched into one panoramic image. Analysis through the Central Limit Theorem shows that density of 24 1 km-images, which means 24 second, applies traffic situation well. That is to say that reasonable density value regardless of collecting time, and practical density which represents actual traffic flow can be taken in case of measuring density by suggested collecting cycle.

An Analysis of the Rail Wear Measurements for the Prediction of Particulate Matter Emission in Urban Railway (도시철도 미세먼지 발생량 예측을 위한 레일 마모량 분석)

  • Yoon, Cheonjoo;Ko, Huigyu;Bang, Myeongseok;Kwon, Hyeokbin
    • Journal of The Korean Society For Urban Railway
    • /
    • v.6 no.4
    • /
    • pp.339-350
    • /
    • 2018
  • The rail wear measurements in urban underground railway have been analyzed to predict the particulate matter emission caused by rail wear which is one of the major sources of particulate matter emission for underground railway systems. From the rail profile variations measured in the interval of one and half year by dedicated rail wear measuring instrument over the commercial urban underground railway line, 'line-s' which is about 45km long, the characteristics as well as the amount of rail wear have been analyzed after dividing the whole line into about 170 section with radius of curve(R). It has been concluded that the vertical wear parameter V0 and corner wear parameter C0 have been selected to represent the wear amount of straight and curved rail respectively. The amount of rail wear as well as the particulate matter emission by rail wear over the whole line normalized by the rail length as well as the number of train has also been deduced from the relationship between the rail wear parameters and the amount of rail cross-section area.

Development of Shock Wave Delay Estimation Model for Mixed Traffic at Unsaturated Signalized Intersection (충격파를 이용한 신호교차로 지체산정 모형 개발 (비포화 2차로 신호교차로 상에서의 버스혼합교통류 지체산정모형))

  • Kim, Won-Gyu;Kim, Byeong-Jong;Park, Myeong-Gyu
    • Journal of Korean Society of Transportation
    • /
    • v.28 no.6
    • /
    • pp.75-84
    • /
    • 2010
  • Controlled traffic intersection is critical point in terms of transportation network performance, where the most of traffic congestion arises. One of the most important and favorable measure of effectiveness in the signal controlled intersection is approach delay. Although lots of efforts to develop traffic delay estimation models have been made throughout the years, most of them were focusing on homogeneous traffic flow. The purpose of this research is to develop a traffic delay estimation model for traffic flow mixed with bus based on the horizontal shockwave theory. Traffic simulation is performed to test the adaptation level of the model in generic environment. The result shows that the delay increases with increasing bus traffic. Overall model accuracy comparing simulation result is acceptable, that shows the error range around 10 percent.

Estimation on the Future Traffic Volumes and Analysis on Information Value of Tidal Current Signal in Incheon (인천항의 장래 교통량 추정 및 조류신호의 정보가치 분석)

  • Kim, Jung-Hoon;Kim, Se-Won;Gug, Seung-Gi
    • Journal of Navigation and Port Research
    • /
    • v.31 no.6
    • /
    • pp.455-462
    • /
    • 2007
  • This paper estimated the future traffic volume incoming and outgoing in Incheon port, and analyzed the value of information serviced by tidal current signal operation center in Incheon. The cargo traffic in 2020 will increase twice as much as in 2005 according to the national ports basis plan. The maritime traffic will increase greatly consequently. Also, MOMAF has operated tidal current signal operation center to prevent marine accidents caused by current influence on vessels navigating through Incheon. However the quantitative effect is not known because there is no analysis about its value. Therefore the value of information serviced by tidal current signal operation center in Incheon was calculated with contingent valuation method(CVM), and the information value was analyzed considering future traffic in this study. Thus, the annual information value was calculated at about $170{\sim}280$ million won, considered traffic volume using the information of tidal current directly in 2020 since 2006.

A Study on The Traffic Information Capability of Traffic Noise (교통소음의 교통정보화 가능성에 관한 연구)

  • 정민섭
    • Proceedings of the KOR-KST Conference
    • /
    • 1998.10a
    • /
    • pp.139-148
    • /
    • 1998
  • 과학의 발달과 인간의 편리성 추구 성향에 따라 다양한 분야에서 소리를 이용한 기계·전자 시스템에 대한 연구 개발이 진행 중이다. 아마도 소리를 감지할 수 있는 센서 가격의 저렴함과 인간에게 있어서는 가장 편리한 방법이기 때문일 것이다. 이러한 생각을 바탕으로 소리라는 변수를 교통분야에 응용할 수 있는 분야를 생각해 볼 때 본 연구는 검지기를 이용한 교통 신호제어 분야를 제안하고자 한다. 검지기를 중심으로 한 교통 제어 시스템은 교통관리 측면에서 매우 중요한 분야를 차지하고 있다. 기존 고비용의 검지기 시스템들은 실제 상황에서는 그 투자 비용의 가치만큼 역할을 수행하지 못하고 있으며, 주요 교차로나 고속도로만을 교통변수 측정 및 교통제어의 대상으로 삼고 이들에 대해서만 검지 시스템을 운용하는 등 실용화측면에서 많은 문제점을 가지고 있다. 따라서 저렴하면서도 주요 교차로를 제외한 여타의 비주요 교차로 등과 같은 어떠한 교통 여건에도 적용할 수 있는 소음검지기법의 개발은 실로 높은 연구 가치가 있다고 사료된다. 소음검지시스템은 교통상황변수중 가장 주용한 교통량과 도로 소음과의 상관 관계를 이용하여 신호제어를 하는 원리로 구성된다. 본 연구에서는 이러한 시스템의 제안을 위해 교통소음과 교통량이 어떠한 상관관계를 형성하는 가를 분석하였으며 이를 바탕으로 응용할 수 있는 신호제어 시스템의 일부 교통관련 분야를 제안하였다.

  • PDF