• 제목/요약/키워드: Road traffic

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교통 돌발 상황을 고려한 도로 속도 예측 기법 (Road Speed Prediction Scheme Considering Traffic Incidents)

  • 박송희;최도진;복경수;유재수
    • 한국콘텐츠학회논문지
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    • 제20권4호
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    • pp.25-37
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    • 2020
  • 교통 혼잡으로 인한 사회적 비용이 증가하면서 도로 속도를 예측하기 위한 다양한 연구들이 진행되고 있다. 도로 속도 예측의 정확도를 향상시키기 위해서는 교통 돌발 상황을 고려할 필요가 있다. 본 논문에서는 교통 돌발 상황을 고려한 도로 속도 예측 기법을 제안한다. 제안하는 기법은 연결된 도로들이 미치는 영향을 반영하기 위해서 예측 도로의 속도 데이터 뿐만 아니라 연결된 도로들의 속도 데이터도 이용한다. 또한, 돌발 상황으로 인한 혼잡을 예측하기 위해 속도의 변화량을 분석한다. 연결된 도로와 타겟 도로의 속도 데이터를 LSTM의 입력 데이터로 이용하여 1차적으로 도로 속도를 예측한다. 교통 돌발 상황으로 도로의 규칙적인 흐름이 깨지며 발생하는 예측 오차를 줄이기 위해 이벤트 가중치를 적용하여 최종적으로 도로 속도를 예측한다. 다양한 성능 평가를 통해 제안된 방법의 우수성을 입증한다.

도로 노면 안전성 분석을 위한 물고임 측정장비 개발 및 현장 적용성 연구 (Comprehensive Evaluation of Water-Reservoir Measuring Equipment for Highway Safety Analysis)

  • 이진각;윤덕근;조영오
    • 한국도로학회논문집
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    • 제15권3호
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    • pp.127-135
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    • 2013
  • PURPOSES : The purpose of this study is development of automatic equipment to measure the road water-reservoir which can be one of factors for road traffic safety inspection and its application to safety analysis. METHODS : The scopes of this study are the examination of the riskiness and location of road water-reservoir through literature review, development of appropriate sensor and automatic equipment to survey the road water-reservoir and evaluation of field application. RESULTS: The laser lighting and IR camera were selected to develop the equipment. It was found from the field calibration that there is a high correlation between rutting and road water-reservoir and road water-reservoir caused by rutting can be correctly calculated. About 20.2km of national highway were inspected for case study and field application. It was found from correlation of traffic incident that 2.08km of the latent length for water-reservoir which is related to 12 traffic incidents were analyzed. CONCLUSIONS : This technique can be utilized evaluation method for road condition such as road water-reservoir for conventional evaluation system such as road traffic safety assessment and safety analysis and it can be use to new evaluation system to apply various road condition and traffic condition.

교통안전시설 장치 통합 관제 시스템 제안 (Proposal of Road Traffic Safety Facilities Equipment and Devices Integrated Management System)

  • 고정호;한음;이은진;이보은
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2023년도 제68차 하계학술대회논문집 31권2호
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    • pp.673-674
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    • 2023
  • 도로교통의 안전 확보와 사고 예방을 목적으로 운전자나 보행자에게 필요한 정보를 제공하기 위해 경찰청에서 규격 또는 지침으로 제정하여 노변에 설치되는 교통안전시설 장치는 교통신호정보를 받기 위한 통신선과 함께 장치 구동을 위한 전원선을 개별로 시공해야 하기에 시공 비용의 절감과 함께 다종·다형의 장치에 대하여 통합적인 관제, 확장성, 유연성에 대응할 필요성이 제기되고 있다. 이에 본 논문에서는 이더넷 통신을 기반으로 전원 공급이 하나의 케이블로 가능한 이더넷 전원장치(PoE) 기술과 IoT 프로토콜인 MQTT를 이용하여 다종·다형의 교통안전시설 장치를 통합관제하고, 확장성과 유연성을 가지는 교통안전시설 장치 통합 시스템을 제안한다.

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Weibull분포를 이용한 도로교통소음의 예측에 관한 연구 (A Method to Predict Road Traffic Noise Using the Weibull Distribution)

  • 김갑수
    • 대한교통학회지
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    • 제5권2호
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    • pp.73-80
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    • 1987
  • Various procedures for evaluation of traffic noise annoyance have been proposed. However, most of the studies of this type are restricted for improving traffic flow. In this paper, a method to predict the road traffic noise is proposed in terms of equivalent continuous A-Weighted sound pressure level (Leq), based on a probability model. First, distribution of the road traffic noise level are investigated. second, the weibull distribution parameters are estimated by using the quantification theory. Finally, a prediction model of the road traffic noise is proposed based on the weibull distribution model The predicted values of the Leq are closely matched the measured data.

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도로교통소음 현황과 예측 (Road Traffic Noise Status and Prediction)

  • 김종민;박준철;강대준
    • 한국소음진동공학회논문집
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    • 제14권10호
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    • pp.1015-1020
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    • 2004
  • The road traffic noise becomes aggravated due to the rapid increase of vehicles. It has a great effect on the dwelling environment. Therefore we investigate the characteristics and sources of the road traffic noise through grasping the status of the road traffic noise. This paper is concerned with the description of the various factors affecting the generation and propagation of outdoor traffic noise. It is particularly concerned with the mathematical interpretation of these processes and the resulting development of prediction techniques which are now broadly used for both the environment impact assessment of road traffic noise and the planning and design of roads and adjoining land use.

교차로에서의 도로·교통안전시설물의 교통사고 감소효과도 추정 (Estimating Traffic Accident Reduction Effect of Road Safety Facilities in Intersesctions)

  • 윤여일;이수범;임준범;박길수;문정식
    • 대한교통학회지
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    • 제35권2호
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    • pp.129-142
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    • 2017
  • 교통사고 잦은 곳 개선사업은 교통사고 예방을 위하여 도로상에 도로안전 관련 시설물을 설치함으로써 도로 환경적 요인에 대한 결함을 제거하는 대표적 교통안전개선사업이다. 그러나 개선사업으로 인해 설치된 각 시설물들에 대한 효과평가에 대한 연구는 미비하였다. 따라서 본 연구에서 도로 교통안전 관련 시설물의 교통사고 감소효과도를 추정하기 위하여 최근 2004년부터 2013년까지 교통사고 잦은 곳 개선사업 공사가 완료된 4,171개 지점을 대상으로 비교그룹방법을 활용하여 5가지 시설물에 대한 교통사고 감소효과도를 추정하였다. 분석 결과, 전체 교통사고에 대해서는 교통섬 4.45%, 표지병 32.17%, 과속단속카메라 24.13% 사고감소 효과를 나타냈으며, 반면 무단횡단금지시설 0.61%, 미끄럼방지포장은 1.67% 만큼 증가한 것으로 나타났다. 또한 표지병, 무단횡단금지시설, 미끄럼방지포장과 같이 국토교통부의 "도로안전시설 설치 및 관리지침"에서 특정유형의 교통사고 예방에 효과가 있다고 언급된 시설물들의 교통사고 감소효과도를 추가적으로 분석하였다. 그 결과, 표지병은 악천후 시 교통사고에 대해서 52.96%, 무단횡단금지시설은 차대보행자 교통사고에 대해서 62.77%, 미끄럼방지포장은 추돌사고에 대해서 26.60%의 순수 교통사고 감소효과가 있는 것으로 분석되었다.

환경영향평가시 도로소음 평가범위 설정에 대한 연구 (A Study for Assessment Scope Set-up of Road Noise in EIA)

  • 최준규;선효성;정태량
    • 환경영향평가
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    • 제21권4호
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    • pp.567-572
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    • 2012
  • This paper suggests the set-up plan of the assessment scope in road noise considering road characteristics with the prediction model of road noise. The RLS90 prediction model with some assumptions is used to establish the assessment scope of road noise. The main contents of the applied assumptions are smooth drive of cars, flat region, location of all noise sources in one lane, drive in design speed, and set-up of assessment scope according to traffic volume and car speed. The information of traffic volume to predict road noise is obtained by the distribution of small cars and full-sized cars in road. In this study, the total traffic volume in road is computed by adding the number of small cars to the conversion number of small cars, which means the number of small cars making the same noise as one full-sized car. The prediction result of road noise with the influence factor of traffic volume, car speed, distance between road and receiver is presented. The resultant assessment scope of road noise is obtained by combining road noise prediction data with the set-up standard of road noise assessment scope.

아파트 가격에 영향을 미치는 도로교통소음 제한인자에 관한 연구 (A Study on the Road Traffic Noise Restriction Factors that Affect the Price of Apartment Complexes)

  • 박상일;최형일;정경훈;정상철
    • 한국환경과학회지
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    • 제18권4호
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    • pp.389-400
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    • 2009
  • In this research, we measured the number of lanes, distance, disposition of apartment that are affecting the road traffic noise to evaluate the current condition of G city's road traffic noise. We decide on a basis regarding an apartment price formation factor, and the apartment current price and the results that compared. To have a point scale, we set the maximum road traffic noise at a 8 lane road for 5 points, give 4 points for a 6 lane road, which has a $2.1{\sim}2.5\;dB(A)$ difference compared to a 8 lane road, give 3 points for a 4 lane road, which has a $5.2{\sim}5.5\;dB(A)$ difference compared to a 8 lane road, and set 2 points for a 2 lane road and lower. If we set the standard floor plan as horizontal and a living room facing the roadside, the horizontal and living room facing the opposite side of the road is 1 point because it differs by 14.1 dB(A), and the vertical is 3 points since the difference is 5.3 dB(A). If we make grades by the distance, making standard the fifth floor with little soundproof effect from apartment to road, we observe a measurement below 2.9 dB(A) at a distance of less than 10 m and 5 dB(A), decreased at a distance of 20 m. Therefore, 4 points were given for less than 10m, 3 points for $10{\sim}20\;m$, 2 points for more than 20 m as we can apply the effect of a decay distance of line sound source and the decrease in noise effects of more than 6 dB(A), 1 point for more than 40m, and 0 points for more that 80 m since it is negligible. 28 apartments got 0 points because there is no effect of road traffic noise from other apartments, and 50 apartments where only the road at one side effect them got $5{\sim}10$ points. 4 apartments (17-2, 6-3, 10-4, 3-3) received over 20 points. 15 cases showed a difference between developer price and resale price, and 11 cases (73%) among them showed the same trend (price increases with a low road traffic noise restriction factor point) with the point of road traffic noise restriction factor. 4 cases demonstrated the opposite trend, showing price increases with a high restriction factor point. Among the 4 cases, case numbers 2,6 and 9 appear to be more affected by the location factor (business district) than the road traffic noise restriction factor, and case number 1 appears to be affected by the building factor (openness and direction).

교통시설개선을 위한 위험도 도출에 관한 연구 (The Study of Danger Rate for Improvement of Traffic Facilities)

  • 손진현
    • 한국산업융합학회 논문집
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    • 제9권4호
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    • pp.285-291
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    • 2006
  • A traffic accident is occurred by unbalance of reciprocal action of driver, vehicle and road conditions. To prevent the traffic accident, rapid and perfect road improvement is needed. But most of road improvement plans have insufficient budget. So decision maker has to determine the priority to invest. A model in this study, analyzing the effect of road conditions to the traffic accident, helps to decide the priority in road improvement. This study considered five danger indices ; 1) traffic volume, 2) speed variance, 3) vehicle mixing rate, 4) curved line radius, and 5) difference between design speed and running speed. Danger rate composed by five indices can be a scale of priority of improvement. The model in this study didn't consider all of factors about traffic accident. But this study can propose the methodology for traffic safety policy. For deriving the model, this study used data from highways in Korea and United States. Therefore the model has to apply the highways only.

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A Study on Prediction of Traffic Volume Using Road Management Big Data

  • Sung, Hongki;Chong, Kyusoo
    • 한국측량학회지
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    • 제33권6호
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    • pp.589-594
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    • 2015
  • In reflection of road expansion and increasing use rates, interest has blossomed in predicting driving environment. In addition, a gigantic scale of big data is applied to almost every area around the world. Recently, technology development is being promoted in the area of road traffic particularly for traffic information service and analysis system in utilization of big data. This study examines actual cases of road management systems and road information analysis technologies, home and abroad. Based on the result, the limitations of existing technologies and road management systems are analyzed. In this study, a development direction and expected effort of the prediction of road information are presented. This study also examines regression analysis about relationship between guide name and traffic volume. According to the development of driving environment prediction platform, it will be possible to serve more reliable road information and also it will make safe and smart road infrastructures.