• Title/Summary/Keyword: 교통특성

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A Study on the Road Facilities Use Characteristics of the Transportation Vulnerable by AHP Analysis (AHP분석을 통한 교통약자의 도로시설 이용특성에 관한 연구)

  • KIM, Min Je;LEE, Young Woo
    • Journal of Korean Society of Transportation
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    • v.33 no.3
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    • pp.276-283
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    • 2015
  • Pedestrians have been exposed to dangerous traffic environments, in which walking spaces in a city decrease without improved facilities even though cars increase. Such poor walking environments are deadly dangerous to the vulnerable as well as the non-vulnerable. This study analyzed the road facilities use characteristics according to a type of vulnerability in order to improve traffic safety and walking environment for vulnerable pedestrians. This study surveyed the vulnerable in terms of issues that they encountered on existing walkways and conducted the analytic hierarchy process (AHP), which took all quantitative and qualitative variables into account. The results of Level-3 analysis were showed that the elderly and the disabled were partially similar; both felt most inconvenient at enter-exit sections, steep walkway and bad paved walkway. Unlike those results, people with children and/or infants answered that overpass or underpass walkways without lifting facilities were most inconvenient walking environments.

Development of Accident Forecasting Models in Freeway Tunnels using Multiple Linear Regression Analysis (다중선형 회귀분석을 이용한 고속도로 터널구간의 교통사고 예측모형 개발)

  • Park, Ju-Hwan;Kim, Sang-Gu
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.11 no.6
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    • pp.145-154
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    • 2012
  • This paper analyzed the characteristics of traffic accidents in all tunnels on nationwide freeways and selected some various independent variables related to accident occurrence in tunnels. The study aims to develop reliable accident forecasting models using the various dependent variables such as the number of accident (no.), no./km, and no./MVK. Finally, reliable multiple linear regression models were proposed in this paper. This study tested the validity verification of developed models through statistics such as $R^2$, F values, multicollinearity, residual analysis. The paper selected the accident forecasting models considering the characteristics of tunnel accidents and two models were finally proposed according to two groups of tunnel length. In the selected models, natural logarithm of ln(no./MVK) is used for the dependent variable and AADT, vertical slope, and tunnel hight are used for the independent variables. The reliability of two models was proved by the comparison analysis between field data and estimating data using RMSE and MAE. These models may be not only effective in evaluating tunnel safety under design and planning phases of tunnel but also useful to reduce traffic accidents in tunnels and to manage the traffic flow of tunnel.

Analysis Study on the Microscopic Characteristics of Freeway Free Flow Speed (고속도로 자유교통류 속도의 미시적 특성에 관한 연구)

  • Yoon, Byoung Jo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.2D
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    • pp.105-111
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    • 2010
  • Operating speed is one of key elements in the design and operation of freeway. Few studies have been carried out macroscopically to find characteristics of free-flow speed (FFS) using small sample size and not considering the conditions of traffic volume and the effects of hour periods. As an attempt to find out the characteristics of FFS, this study microscopically analysed both the distributions of freeway FFS and percentile speeds according to traffic volume and daily hour periods using huge sample size. It was found out that speed distributions are changed and showed different behaviors under the conditions of traffic volumes(1-5 veh/30sec) and daily hour periods(0-5, 6-8, 9-11, 12-19, 20-23). V85(85th percentile speed) at morning, night, and midnight period decreases according to increase in traffic volume respectively, whereas V85 at day time does not show considerable differences. So the behaviors of V85 according to hour periods dramatically changed according to the increase in traffic volume.

A Study about The Taxi Driver's Car Accident Characteristics (택시 운전자의 교통사고 야기 성향 분석에 관한 연구)

  • Jang, Seok Yong;Jung, Heon Young;Lee, Won Gyu
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.2D
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    • pp.191-203
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    • 2008
  • According to a characteristic analysis of traffic accidents of industrial vehicles (RTSA 2007), the occurrence rate and lethality per 10,000 vehicles is 6.7 times higher and 5.3 times higher than that of non-industrial vehicles respectively. For the recent 10 years, in contrast to the 1.5% decrease of the annual rate of entire traffic accidents, the accident rate of industrial vehicles have been increasing 2.0% on the annual average. For the recent 10 years, the accidents of a freight truck and bus have been steadily falling off. But, in the case of a taxi, it has constantly been rising 5.6%. In these situations, the countermeasures to decrease the accident rate are suggested by grasping the inclination of taxi drivers through Q analysis which is character and psychology analysis method.

Development of Pedestrian Signal Timing Models Considering the Characteristics of Weak Pedestrians (교통약자를 고려한 보행 신호시간 산정모형 개발에 관한 연구)

  • Hwang, Duk-Soo;Oh, Young-Tae;Lee, Sang-Soo;Kim, Tae-Ho
    • Journal of Korean Society of Transportation
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    • v.26 no.1
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    • pp.181-190
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    • 2008
  • This study intended to provide the inherent characteristics of weak pedestrian including walking speed and perception-reaction time and to propose pedestrian signal timing models considering those characteristics. To collect the relevant data, field studies were conducted in virtual crosswalk environments. Walking speed were found to be 0.63 m/s and 0.57 m/s for children and the elderly, respectively. However, the elderly had higher perception-reaction time than children. By considering these characteristics, two pedestrian signal timing models were developed. Sensitivity analysis results showed that the models can produce reasonable ranges of pedestrian signal time. The data in this paper can be used for future references, and the mobility of weak pedestrian may be improved by applying the models suggested in this paper.

Safety Evaluation of Individual Intersection Considering the Bio-Response (Electroencephalography) and the Cognitive Characteristics (생체반응(뇌파)과 인지평가 특성에 의한 개별 교차로 안전성 평가에 관한 연구)

  • Namgung, Moon;Lee, Byung Joo;Seo, Im Ki
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.3D
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    • pp.231-240
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    • 2010
  • As majority of the traffic accidents in intersections is caused by human factor, a close examination is required on its contributing factors through measuring the psychological and physiological response according to the driving characteristics of the drivers and the road conditions. In this study, for the safety evaluation of individual intersection considering human factors of the drivers, electroencephalography reaction was measured utilizing cutting-edge measuring equipment and survey on drivers' cognitive characteristics in ordinary times and while driving test was conducted. The relationship between the electroencephalography response when approaching the intersection and cognitive evaluation survey data in driving test was clarified, and individual intersection safety evaluation model was built considering cognitive evaluation factor and the reaction of a bio-response electroencephalography data. As a result, I could find out that cognitive evaluation was made through the reaction of a bio-response (Electroencephalography) process because electroencephalography reaction of a bio-response showed differently by the physical characteristics of the intersection and cognitive evaluation had a difference.

Prediction of Road Traffic Noise by Box Model (BOX Model에 의한 도로교통소음 예측)

  • Yeo, Woon-Ho;Yu, Myong-Jin
    • The Journal of the Acoustical Society of Korea
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    • v.13 no.1
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    • pp.57-62
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    • 1994
  • In order to establish a prediction method for road traffic noise generated from actual traffic flow, a new approach is proposed for practical use. One block in urban road is regarded as one box in this study. This prediction method is able to treat any kind of road traffic noise generated from one block. The validity of the proposed prediction method has been experimentally confirmed by applying it to actually observed road traffic noise data. The correlation between observed and predicted noise level is good.

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