• Title/Summary/Keyword: 도로율

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Distributional Attribute of Naturalized Plants on the Roadsides in Hallasan National Park (한라산국립공원내 도로변 귀화식물의 분포특성)

  • Kim, Houn-Chul;Kim, Chan-Soo;Song, Chang-Khil;Koh, Jung-Goon
    • Korean Journal of Environment and Ecology
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    • v.21 no.3
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    • pp.278-289
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    • 2007
  • This study investigated species formation and their vegetation on the roadsides of 1100 Road and 5 16 Road in Hallasan National Park from August 2004 to December 2006 to provide basic data for distributional attribute of the naturalized plants. The vascular plants investigated on the roadsides of Hallasan National Park were found to be 62 families, 145 genera, 197 taxa in total, in which naturalized plants were recorded as 11 families, 29 genera, and 37 taxa. The floristic formation at 1100 Roadside was composed of Festuca arundinacea-Dactylis glomerata association, which was again divided into Trifolium pratense-Plantago lanceolata sub-association and Sasa quelpaertensis-Gleichenia japonica sub-association. The florisitic composition of the 5 16 Roadside was sorted as Festuca arundinacea-Dactylis glomerata association, Oplismenus undulatifolius-Potentilla fragarisiiforlia, elatior association, Ambrosia artemisiifolia, and etatior-Persicaria thunbergii association. Among the naturalized plants distributed at this area, the annual plant accounts for 51.4%[19 taxa] and the plant of European origin accounts for 70.3%[26 taxa]. As for the background of the introduction of these plants, the case of introduction for forage or a mixture with grain and for pasture was 35.1% and 21.6% respectively, showing higher introduction circumstances than others. As shown in the study, most of the roadsides were occupied by the naturalized plants- Festuca arundinacea and Dactylis glomerata association and various naturalized plants; thus we can assume that it's because Festuca arundinacea and Dactylis glomerata association were mostly used for re-vegetation of the destroyed areas due to road construction or expansion or road maintenance and improvement project.

Study on Analysis of Occupant Safety Index & Behavior Using Full-Scale Crash Test Data of Crash Cushion (충격흡수시설의 실물차량 충돌시험 데이터를 이용한 탑승자 안전도 및 충돌거동 분석에 관한 연구)

  • Joo, Jae Woong;Kum, Ki Jung;Jang, Dae Young;Kim, Bum Jin
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.2D
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    • pp.163-170
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    • 2008
  • According to the rules, a crash cushion is supposed to set up products that is satisfied with the standard of a performance test after performing the car crash test by road safety facilities and management guide. For development of crash cushion, performance should be estimated through the car crash test eventually. However, there is no reasonable design method which considers passenger's safety and only depend on crash test without an alternative plan. Therefore it incurs a loss materially and takes a lot. Therefore, we are asked to create a systematic design of the crash cushion. This study shows that a scientific basis of applying single degree of freedom when it designs the crash cushion after analyzing vehicle crash test data of crash cushion and also represents design of crash cushion through single degree of freedom response spectrum using calculated by crash test data on crash cushion.

Development of Customer Safety Model of Unsignalized Intersections on the Community Road (생활도로내 비신호교차로 이용자 안전도 모형 개발 - 서울시 생활도로내 비신호교차로를 중심으로 -)

  • Lee, Hyeong Rok;Chang, Il Joon;Lee, Soo Beom;Kim, Jang Wook
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.3D
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    • pp.205-213
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    • 2010
  • The unsignalized intersections in a community road in the city of Seoul have 3,753 traffic accidents(9%) of total 41,702 cases in 2008, not high in the occurrence rate of traffic accidents, but seem to have a quite high potential of accidents due to the unreasonable and insufficient operation of systems and facilities in the part of traffic foundations. In particular, the un-signalized intersections in a community road have an insufficient measure for safety as compared to the crossroads with signals, and there are few analysis of traffic accidents and domestic researches on the model of affecting factors. Our country also has no concept of passing priority in operating a crossroad without signals, differently from foreign countries, so the researches and safety measures for improving the safety of a crossroad without signals in a community road are urgent. Therefore, this research has developed a safety model for a crossroad without signals in a community road based on the safety image data collected through individual interviews and questionnaires for the users of unsignalized intersections in a community road, and confirmed that legal systems, road facilities, personal factors, etc. have the biggest effect on the safety of drivers. It was confirmed that the clarity of passing methods, establishment of legal systems, etc. have the biggest effect on safety in order to raise the safety of unsignalized intersections in a community road, which drivers desire.

A Study of Correlation between Soil Characteristic and CBR value by Experimented Method (흙의 특성과 CBR과의 상관성에 관한 실험적 연구)

  • Park, Heung-Gyu;Kim, Kyung-Rok
    • Journal of the Korean GEO-environmental Society
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    • v.4 no.1
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    • pp.41-48
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    • 2003
  • This study analyzed the correlation between the engineering characteristics of soils, and the CBR values in order to figure out the eligibility of quality criteria as construction materials, by attempting to reduce time and costs for the CBR testing and predicting the results of the CBR testing. The study also analyzed the correlation between the percent passing of No.200 sieve, liquid limit and compaction characteristics, on the basis of the soil testing data conducted at the Yeongdong construction area. This study will provide necessary data for road pavement plans and designs by analyzing the correlation between the percent passing of No.200 sieve, the degree of activity and the swelling rate, and suggest the correlation formula with each soil.

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Analysis System for Traffic Accident based on WEB (WEB 기반 교통사고 분석)

  • Hong, You-Sik;Han, Chang-Pyoung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.6
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    • pp.13-20
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    • 2022
  • Road conditions and weather conditions are very important factors in the case of traffic accident fatalities in fog and ice sections that occur on roads in winter. In this paper, a simulation was performed to estimate the traffic accident risk rate assuming traffic accident prediction data. In addition, in this paper, in order to reduce traffic accidents and prevent traffic accidents, factor analysis and traffic accident fatality rates were predicted using the WEKA data mining technique and TENSOR FLOW open source data on traffic accident fatalities provided by the Korea Transportation Corporation.

The Impact of Street Characteristics on the Streetscape Greenness Index in Rural Area - Focused on Yesan-gun - (농촌지역 가로특성이 가로 녹시율에 미치는 영향 - 예산군을 중심으로 -)

  • Lee, Hyuk-Gyun;Cho, Yong-Hyeon;Kim, Tae-Jong
    • Journal of the Korean Institute of Landscape Architecture
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    • v.47 no.6
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    • pp.78-86
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    • 2019
  • The study analyzed the greenness index that residents experience on the streets of rural areas, where characteristics are different from those of urban areas and the effects of these characteristics were investigated. In Yesan-gun, Chungnam, in order to analyze the greenness indices, the streets were categorized into 7 types. Then, two types of streetscape greenness indices were surveyed, analyzed, and compared. One is the street-trees greenness index which takes into account only the trees lining the street and the other is the street greenness index considering total artificial green, natural green, and productive green surfaces. As a result, using the street-tree greenness index the street greenness index of Yesan-gun was analyzed as 15.93% on national highways, 26.14% for local roads, 28.28% for gun-roads, 24.72% for myun-roads, 40.70% for li-roads, 32.78% for nong-roads, and 18.36% for urban planning roads. Using the street greenness index, the street-trees greenness index was analyzed to be 5.02% for national highways, 9.10% for local roads, 8.55% for gun-roads, 4.51% for myun-roads, 6.92% for li-roads, 2.56% for nong-roads, and 9.39% for urban planning roads. To analyze what factors have an impact on the street-trees greenness index and the street greenness index, the study analyzed the effects of street side-land uses, lane types, street-trees, and sidewalks. As a result, both the street greenness index and the street-trees greenness index responded according to the land use adjacent to the street, lane types, and sidewalks. The street greenness index did not change due to the existence of street-trees, but the street-trees greenness index did. Through comparison with other studies, it was found that Yesan-gun needs to improve its streetscape to improve its greenness index rating.

Detection Method of Vehicle Fuel-cut Driving with Deep-learning Technique (딥러닝 기법을 이용한 차량 연료차단 주행의 감지법)

  • Ko, Kwang-Ho
    • Journal of the Korea Convergence Society
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    • v.10 no.11
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    • pp.327-333
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    • 2019
  • The Fuel-cut driving is started when the acceleration pedal released with transmission gear engaged. Fuel economy of the vehicle improves by active fuel-cut driving. A deep-learning technique is proposed to predict fuel-cut driving with vehicle speed, acceleration and road gradient data in the study. It's 3~10 of hidden layers and 10~20 of variables and is applied to the 9600 data obtained in the test driving of a vehicle in the road of 12km. Its accuracy is about 84.5% with 10 variables, 7 hidden layers and Relu as activation function. Its error is regarded from the fact that the change rate of input data is higher than the rate of fuel consumption data. Therefore the accuracy can be better by the normalizing process of input data. It's unnecessary to get the signal of vehicle injector or OBD, and a deep-learning technique applied to the data to be got easily, like GPS. It can contribute to eco-drive for the computing time small.

Prediction of Lateral Flow due to Embankments for Road Construction on Soft Grounds with Vertical Drains (연직배수재가 설치된 연약지반 상에 도로성토로 인한 측방유동 발생 예측)

  • Hong, Won-Pyo;Kim, Jung-Hoon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.32 no.6C
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    • pp.239-247
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    • 2012
  • Some methods were proposed to predict lateral flow due to embankments for road constructions on soft grounds, in which vertical drains were placed. In order to investigate the prediction methods of lateral flow, 200 field monitoring data for embankments in thirteen road construction sites at western and southern coastal areas of the Korean Peninsula were analyzed. For analyzing the relationship between the safety factor of embankment slope and the horizontal displacement in soft grounds where horizontal drain mats were placed, it was reliable to apply the maximum horizontal displacement in soft ground instead of the horizontal displacement at ground surface. The maximum horizontal displacement was developed less than 50mm in fields where the safety factor of slope was more than 1.4, while the one was developed more than 100mm in fields where the safety factor of slope was less than 1.2. In safe fields where the maximum horizontal displacement were developed within 50mm, lateral flow would not happen since shear deformation was not appeared. On the other hand, shear failure would happen in the fields where the maximum horizontal displacement were developed more than 100mm. In such fields, embankments might be continued after some appropriate countermeasures should be prepared. Safe embankments can be performed on soft grounds, in which the stability number is less than 3.0 and the safety factor for bearing is more than 1.7. However, if the stability number is more than 4.3 and the safety factor for bearing is less than 1.2, shear deformation would begin and even shear failure would happen.

The Influence of Traffic Information based on VMS(Variable Message Sign) on the Selection of Drivers' Route (VMS(Variable Message Sign)를 통한 교통정보 제공이 운전자의 운행경로 전환에 미치는 영향 분석)

  • Jung, Hun Young;Son, Su Ran;Lee, Jeong Ho
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.2D
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    • pp.193-201
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    • 2011
  • The provision of traffic information plays an important role in increasing social benefit not only by saving travel time for individuals but also by improving the efficiency of road operation. VMS(Variable Message Sign) helps on-wheel drivers easily understand the road situation, and also provides real-time traffic information to people on the streets. However, it has not been sufficiently studied on how traffic information based on VMS influences on the drivers' selection of route. This study investigated how drivers use VMS traffic information and how they are satisfied with it. Then, the model of drivers' route selection was specified with the types of traffic information and the expected travel time to examine the influence on the selection of drivers' route. The model was estimated and analyzed in three types according to the condition of detour roads, and the rate of route change and the degree of sensitivity was calculated from the estimation. The results of analysis are as follows. the $1^{st}$ type model showed the 10% of route change for the travel time saving of 5minutes, and the 81.6% of route change for the travel time saving of 20minutes. The $2^{nd}$ type led to the range of route change from 14.2% to 92.7% over the 5 through 20 minutes of travel time saving. The $3^{rd}$ model resulted in the 99.1% of route change. The sensitivity of route change showed the highest for the travel time saving of 11 minutes with the $1^{st}$ type model, 9 minutes with the $2^{nd}$ type model, and 5 minutes with the $3^{rd}$ type model respectively.

A Study of a Model for Calculating Passing Sight Distance (추월시거 산정 모형에 관한 연구)

  • 김영호;손봉수;전경수
    • Journal of Korean Society of Transportation
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    • v.15 no.3
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    • pp.75-92
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    • 1997
  • 추월가능성을 판단하기 위해서 앞을 바라볼 수 있어야 하는 거리를 추월시거라 한다. 적절한 추원시거의 확보는 2차선 도로의 효율성과 운전자의 안전성 제고 및 도로설계시 매우 중요하다. 이러한 목적을 위하여 추월시거를 산정할 수 있는 여러 모형이 개발되었으나, 실제 교통상황을 반영하기에 많은 문제점을 안고 있음이 지적되고 있다. 따라서 본 논문은 기존 모형들의 이론적 배경을 고찰하고, 각 모형의 단점과 한계를 파악하여, 운전자의 실제 추월형태를 고려한 새로운 추월시거산정모형을 개발하는데 주안점을 두고 있다. 본 논문에서 개발한 PASS모형은 현재 미국에서 도로설계시 기준으로 사용되고 있는 AASHTO모형을 보완하여 구축하였다. 기존의 모형들은 서로 다른 조건을 가정하여 개발되었기 때문에 각 모형들의 추월시거 산정값을 비교분석하는데 어려움이 있다. 하지만 PASS모형은 운전자의 반응시간, 차량의 길이, 차량의 가속능력 등 실제 추월시거 산정시 반드시 고려해야 할 중요한 요소들을 특성치로 반영할 수 있게 함으로써 다양한 추월 상황과 현실적인 교통상황을 폭넓게 수용할 수 있는 장점을 갖고 있다. 본 논문에서는 새로 개발한 P SS모형을 이용하여 얻은 결과와 기존의 AASHTO모형, MUTCD모형, Glennon모형을 통해 얻은 결과를 비교하였으며, PASS모형에 우리나라 현실에 적합한 특성치를 적용하여 2차로 도로의 추월시거를 산정하였다. 이 결과 현재 우리나라 도로용량편람에서 제시하고 있는 추월기능구간 기준인 450m가 설계속도가 낮은 일반국도에는 타당함을 확인할수 있었다. 그러나, 설계속도가 높은 화물타의 운행빈도가 높은 고속국도의 경우, 재검토가 필요할 것으로 판단된다.기존의 광유계 윤활제에 비하여 대단히 고가하는 문제점을 갖고 있다. 그러나 윤활 마찰면의 다양화와 가혹한 사용조건은 자성유체 윤활제의 연구개발 필요성을 크게 증대시키고 있다.xed Effects Model)을 결정하고, 각각에 해당하는 통계모형을 구축하였다. 이 결과 (1) 업종 및 기업규모별로 그룹간에 유의한 특성이 발견되었으며, (2) R&D 및 광고투자는 기업의 시장성과를 설명하는 중요한 변수이나, (3) R&D 투자의 경우는 광고에 비해 불확실성이 존재하는 것으로 나타났고, (4) 수리모형에서 도출된 한계원리가 통계모형에서도 유효한 것으로 드러났다.등을 토대로 한 10대 산업을 육성하기 위하여 과학기술부는 기술수요조사를 바탕으로 49개 주요기술을 도출하여, 과학기술 일류 국가 실현, 국민소득 2만불 달성이라는 국가적 슬로건을 내걸고 “차세대 성장동력” 창출을 위한 범정부차원의 기획과 연구비의 집중투자를 추진하고 있다.달성하기 위해서는 종합류류 전산망의 시급한 구축과 함께 화물차의 적재율을 높이고 공차율을 낮출 수 있는 운송체계의 수립이 필요한 것으로 판단된다. 그라나 이러한 화물전용차선의 효과는 단기적인 치유책일 수밖에 없기 때문에 물류유통 시설의 확충을 위한 사회간접자본의 구축을 서둘러 시행하여야 할 것이다.으로 처리한 Machine oil, Phenthoate EC 및 Trichlorfon WP는 비교적 약효가 낮았다.>$^{\circ}$E/$\leq$30$^{\circ}$NW 단열군이 연구지역 내에서 지하수 유동성이 가장 높은 단열군으로 추정된다. 이러한 사실은 3개 시추공을 대상으로 실시한 시추공 내 물리검층과

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