• Title/Summary/Keyword: Road Environment

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Traffic Congestion Management on Urban Roads using Vehicular Ad-hoc Network-based V2V and V2I Communications (차량 애드혹 네트워크 기반 V2V와 V2I 통신을 사용한 시내 도로에서의 교통 체증 관리)

  • Ryu, Minwoo;Cha, Si-Ho
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.18 no.2
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    • pp.9-16
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    • 2022
  • The nodes constituting the vehicle ad hoc network (VANET) are vehicles moving along the road and road side units (RSUs) installed around the road. The vehicle ad hoc network is used to collect the status, speed, and location information of vehicles driving on the road, and to communicate with vehicles, vehicles, and RSUs. Today, as the number of vehicles continues to increase, urban roads are suffering from traffic jams, which cause various problems such as time, fuel, and the environment. In this paper, we propose a method to solve traffic congestion problems on urban roads and demonstrate that the method can be applied to solve traffic congestion problems through performance evaluation using two typical protocols of vehicle ad hoc networks, AODV and GPSR. The performance evaluation used ns-2 simulator, and the average number of traffic jams and the waiting time due to the average traffic congestion were measured. Through this, we demonstrate that the vehicle ad hoc-based traffic congestion management technique proposed in this paper can be applied to urban roads in smart cities.

Analysis of factors affecting vegetation cover for stabilization of granite weathered soil forest road cut slopes

  • Seong-Man Kim;Sung-Min Choi;Ye Jun Choe;Yun-Jin Shim;Joon-Woo Lee
    • Korean Journal of Agricultural Science
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    • v.49 no.4
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    • pp.809-819
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    • 2022
  • This study was conducted to improve the stability of cut slopes of forest roads in granitic weathered soil areas. The study area is a national forest road (road length 28.48 km) in Pyeongchang-gun, Gangwon-do. After data collection, a statistical analysis was performed using IBM SPSS (Ver. 26.0). First, the correlation analysis showed that structure, slope position, soil erosion, slope, and aspect (N, S) were correlated with vegetation coverage (p < 0.05). Elapsed years, slope distance, and aspect (E, W) were found to have no correlation with vegetation coverage. (p > 0.05) Second, one-way ANOVA and Kruskal-Wallis test results showed that vegetation coverage was worse when the slope was located at the top or the middle of the slope than at the bottom of the slope. In addition, the site with sheathing and gabions showed good vegetation coverage when compared with the site without structures. In the case of soil erosion, areas with severe damage and moderate damage showed worse vegetation coverage. Therefore, it is necessary to strengthen the slope angle of the cut soil of the granitic weathered soil area from 1 : 0.5 - 1.2 to 1 : 0.8 - 1.5. In addition, structures such as sheathing and gabions should be installed on granitic weathered land.

Rehabilitation of an Amur Leopard Cat (Prionailurus bengalensis) with Complex Injury by a Road Accident

  • Sungryong Kim;Sungin Lee;Ok-Joo Lim;Ki-Jeong Na;Dong-Hyuk Jeong
    • Journal of Veterinary Clinics
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    • v.39 no.6
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    • pp.411-416
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    • 2022
  • A 2.2 kg adult female Amur leopard cat (Prionailurus bengalensis) injured in a road accident was rescued. Severe abrasions on the left chin were washed daily with an antiseptic and silver sulfadiazine ointment was applied. Corneal edema of the oculus sinister (OS) was treated with ofloxacin and 5% sodium chloride eye drops. The skin wounds gradually improved, but the eye condition did not improve and the lens was also found to be detached. In addition, on the 6th day of hospitalization, melena was observed. On radiographic examination, foreign bodies in the stomach and a fracture of the sternum were confirmed. Subsequently, endoscopic removal of foreign bodies and enucleation of the OS using an electrothermal vessel sealer were performed sequentially over several days. However, corrective surgery of the fractured sternum was not carried out because a natural union of the fracture had occurred, which was found to be fairly stable. The patient completely recovered on the 83rd day and was successfully released into the wild on the 97th day, after two weeks of adaptation training in a natural environment. This report describes the rehabilitation of a wild Amur leopard cat injured in a road accident through a series of diagnostic and treatment steps until its eventual return to the wild and highlights some improvements needed in the process.

Proposing a BIM Activation Plan in Civil Projects by Investigating Guidelines in Procurement Processes - Proposing Contents of Guidelines to Support BIM Project in the Road Sector - (국내 발주지침 보완을 통한 토목분야 BIM 활성화 전략 제안 - 도로분야 BIM 프로젝트 지원을 위한 과업지시서 구성요소 제안 -)

  • Choi, Go-eun;Lee, Jaewook;Hong, Chang Hee;Moon, Hyeonsuk;Kim, Do Young
    • Journal of KIBIM
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    • v.13 no.2
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    • pp.47-57
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    • 2023
  • The purpose of this study is to propose a guideline to help the client and bidder operate the BIM project in the domestic road field. As BIM design is mandatory in the construction field, documents disclosed by the ordering agency must essentially include procedures and step-by-step requirements to support BIM. The purpose of this study is to propose the structure and components of the guidelines that practitioners need practically by utilizing the currently announced road field guidelines. The guidelines are analyzed based on the procurement documents that were pre-emptively shared overseas, and supplemented according to the domestic situation. Furthermore, the effectiveness of the revised guidelines is confirmed through expert consultation. This study aims to contribute to creating an environment in which construction practitioners who have no experience in BIM project can efficiently carry out BIM projects.

The Impact of National Stereotypes towards Country-of-Origin Images on Purchase Intention: Empirical Evidence from Countries of the Belt and Road Initiative

  • WANG, Li;SHEN, Xiangdong;YAN, Lei
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.1
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    • pp.409-422
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    • 2022
  • The purpose of this paper is to explore how the country-of-origin image mediates the effect of national stereotypes along two dimensions of perceived competence and warmth, on consumers' consumption behaviors, especially in today's environment, the capricious COVID-19 and the deepening and expanding "The Belt and Road" initiative. Research design, data, and methodology: After collecting 1500 primary data from twelve countries along the 21st - Century Maritime Silk Road, this paper conducts ANOVA and SEM in SPSS25.0 and AMOS 24.0 separately to analyze measurements, structural models, and hypotheses via using 1277 final samples. The mediation results illustrate the asymmetric dominance of the two dimensions of national stereotypes, indicating that the country-of-origin image shows the complementary mediation in the effect of perceived competence on purchase intention; whereas, the country-of-origin image holds the indirect-only mediation in the impact of perceived warmth on purchase intention. The results of the moderation show that the effect of country-of-origin image on purchase intention is more significant for consumers who perceive COVID-19 in China to be of lesser severity than those who believe it to be of higher severity. Based on the paper's results, some implications for practice and theory are highlighted.

An Analysis of Energy Consumption and GHG Emission per Unit of Rail and Road Transportation (철도와 도로 수송부문의 에너지 소비 및 온실가스 배출 원단위 분석)

  • Kim, Byung-Kwan;Lee, Jin-Sun;Kim, Hyoun-Ku;Lee, Jae-Young
    • Journal of the Korean Society for Railway
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    • v.17 no.3
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    • pp.216-222
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    • 2014
  • In general, the rail transportation recognized as a better transportation mode than road transportation in terms of the environment. However, due to a lack of quantitative analysis based on Korean data, foreign cases for environmental advantages of the railway have often been cited in Korea. To address this issue, we estimated the energy consumption of passenger and freight transportation using certified activity data from Korea Railroad Statistics and the Electrical Work Report for railway and the Energy Consumption Survey for road. We estimated the Green House Gas emission of passenger and freight transportation on a Tier 1 level by applying the IPCC 2006 Guideline. Finally, we calculated the energy consumption unit and GHG emission unit to determine the environmental impact of rail and road transportation. We also compared the analyzed results of high-speed rail and auto as typical means of rail and road transportation.

The Basic Research of Road Design Simulation Using Digital Aerial Photos (수치항공사진을 이용한 도로설계시뮬레이션의 기초적 연구)

  • Oh, Il-Oh;Kang, Ho-Yun;Choi, Hyun;Kang, In-Joon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.25 no.2
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    • pp.99-105
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    • 2007
  • This research is about applying aerial photos to three-dimensional simulation of road design. Instead of existing road design approach using digital map, which inexactly represent some part of topography and landmarks, digital aerial photos are applied to three-dimensional road design to address such inexactness of the map. First of all, ortho-photos are made using aerial photos, and a digital elevation model is created by extracting DEM. Then, by applying the coordinates practically using in planar design to three-dimensional approach, this model will be much helpful in the analyses of road route and viewscape. In addition, through the use of Virtual GIS, many evaluation factors such as urban design, flora, soil, water channel or road shape, flood plan are used for examination, and the effectiveness of applying three-dimensional simulation based on such route design standard is to be reviewed. In this paper, a basic research about three-dimensional design of structures is performed, and through the three-dimensional design, some effective determination to decision-making was carried out. Hereafter, it appears some research regarding environment-friendly construction and design should be followed.

A Visualization of the Korean Road Freight Transport Industry Using a Causal Map (인과관계맵을 이용한 국내 화물자동차운수시장 구조의 가시화)

  • Roh, Hong-Seung;Kang, Sang-Gon;Jang, So-Young
    • Journal of Korean Society of Transportation
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    • v.26 no.5
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    • pp.143-152
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    • 2008
  • Road freight transport industry in Korea contains many and complicate problems such as over supply of the vehicle caused by rapid policy changes, illegal multilevel transactions, poor truck drivers working environment, lack of road freight transport related statistics and so on. Korean government has developed various logistics industrial policy trying to solve these problems in various ways. However the relationship among the problems and action plans has been more and more entangled since the part of suggested policies have made another perverted problems. These complex structure of the toad freight transport industry in Korea makes difficult to identify and to solve the problems. Causal map method helps to give a clean picture to understand the complex industry at a fiance. This study contributes for visualization of the causal relationships among the existing problems and related policy issues in the road freight transport industry in Korea by causal map. This study could be helpful to develop the actual road freight transport industrial policies including the illogical multilevel and unfair transaction in Korea.

Road Crack Detection based on Object Detection Algorithm using Unmanned Aerial Vehicle Image (드론영상을 이용한 물체탐지알고리즘 기반 도로균열탐지)

  • Kim, Jeong Min;Hyeon, Se Gwon;Chae, Jung Hwan;Do, Myung Sik
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.18 no.6
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    • pp.155-163
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    • 2019
  • This paper proposes a new methodology to recognize cracks on asphalt road surfaces using the image data obtained with drones. The target section was Yuseong-daero, the main highway of Daejeon. Furthermore, two object detection algorithms, such as Tiny-YOLO-V2 and Faster-RCNN, were used to recognize cracks on road surfaces, classify the crack types, and compare the experimental results. As a result, mean average precision of Faster-RCNN and Tiny-YOLO-V2 was 71% and 33%, respectively. The Faster-RCNN algorithm, 2Stage Detection, showed better performance in identifying and separating road surface cracks than the Yolo algorithm, 1Stage Detection. In the future, it will be possible to prepare a plan for building an infrastructure asset-management system using drones and AI crack detection systems. An efficient and economical road-maintenance decision-support system will be established and an operating environment will be produced.

Curb Detection and Following in Various Environments by Adjusting Tilt Angle of a Laser Scanner (레이저 스캐너의 틸트 각도 조절을 통한 다양한 환경에서의 연석 탐지 및 추종)

  • Lee, Dong-Wook;Lee, Yong-Ju;Song, Jae-Bok;Baek, Joo-Hyun;Ryu, Jae-Kwan
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.11
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    • pp.1068-1073
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    • 2010
  • When a robot navigates in an outdoor environment, a curb or a sidewalk separated from the road can be used as a robust feature. However, most algorithms could detect the curb only in the straight road, and could not detect highly curved corners, ramps, and so on. This paper proposes an algorithm which enables the robot to detect and follow the curbs in various types of roads. In the proposed method, the robot tilts a laser scanner and computes the error between the predicted and the measured distances to the road in front of the robot. Based on this error, the curbs at corners and curves can be classified. It is also difficult to detect a curb near a ramp because of its low height. In this case, the robot also tilts a laser scanner to detect the curb beyond the ramp. Once the robot classifies the road into the curve, corner, ramp, the robot selects the proper navigation strategies depending on the classified road types and is able to continue to detect and follow the curb. The results of a series of experiments show that the robot can stably detect and follows the curb in curves, corners and ramps as well as the straight road.