• Title/Summary/Keyword: 도로율

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Establishing the Managerial Boundary of the Baekdu-daegan: An Approach by Watershed Expanding Process (백두대간 관리범위 설정에 관한 연구: 유역확장방식에 의한 접근)

  • Kwon, Taeho;Choi, Song-Hyun;Yoo, Ki-Joon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.5 no.4
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    • pp.106-118
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    • 2002
  • In recent years, synthetic and systematic management with conservation-oriented strategy for Baekdu-daegan, which is the greatest chine as well as the major ecological axis of the Korean Peninsula, is being required to cope adequately with the various kinds of developmental urge. For this, spatially definite zoning for the managerial area on Baekdu-daegan has to be completed first. This study is to take into consideration the traditional concepts of stream and watershed as well as the actual disturbance on Daegan area, and to propose the process for reasonably establishing the managerial boundary adjacent to the Ridges. The case site with topographically diverse characteristics was selected, and the analyses on watershed, road network and land use were carried out using the digital maps and Landsat TM images. Based on these analyses results, the managerial boundaries as alternatives from the Ridges were produced by watershed expansion process, and used for tracing the changes of road occupancy rate and the areal ratio of various land use types to the relevant watersheds to search out the adequate managerial boundary. The results show that watershed expansion process could be effective tool for establishing the managerial boundary, and the fourth expanded watershed would be included for the adequate managerial boundary of the case site.

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Linking Urban Development Density with Infrastructure Capacity (GIS를 활용한 도시개발과 기반시설의 합리적 연계)

  • Yeo, Chang-Hwan;Kim, Jae-Ik
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.4
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    • pp.46-59
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    • 2007
  • Urban infrastructure is a core of urban growth management which concerns with location, time and costs of development. Despite an inevitable link between development density and infrastructure capacity in urban areas, little study have been performed. For this reason, development activities are undergone without any clear evidence or analysis. The main purposes of this paper are to build subject maps of urban infrastructure capacity which illustrate the level of education service and road capacity, and to give reference standard for development decision at given location. For these purposes, the case study of the high-rise multi-purpose buildings in Daegu metropolitan city is performed. The main findings are follows. First, road ratio is high in the CBD and its surrounding areas as well as rural area, and low in areas of manufacturing, parks and military use. Second, educational facility, represented by the number of student per classroom of elementary school, is fairly abundant across the city, especially in the CBD and rural areas. Third, the high-rise multi-purpose buildings have been built in population-losing infrastructure-abundant areas, in general. Based on these results, this study concludes that the high-rise multi-purpose buildings may induce population-inflow and have low possibility to bring about overly dense developments.

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A Non-strict Hub Network Design for Road Freight Transportation considering Economies of Scale (규모의 경제효과를 고려한 도로화물수송의 비제약 허브네트워크 설계)

  • Kim, Nam-Ju;Kim, Yong-Jin;Kho, Seung-Young;Chon, Kyung-Soo
    • Journal of Korean Society of Transportation
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    • v.26 no.6
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    • pp.103-112
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    • 2008
  • Implementing hub networks in logistics is generally attractive and effective because of cost savings derived from economies of scale on network transportation, and objective of the hub network design problem is to decide optimal hub locations, and the transportation route of each origin-destination pair. This problem is generally a NP-complete problem not to solve easily, and it is almost impossible to find optimal solutions considering the big-sized network within a reasonable time. This research tried to find optimal logistics strategy in the given big-sized real network and the freight origin-destination data. The objective function, which was proposed by Honor and O'kelly (2001), that rewards economies of scale on network links with increase of transportation volumes, is applied. This thesis proposed the optimal hub network of korea within a reasonable time based on engineering approaches. And it is expected that this thesis can contribute to plan freight policies which can improve to have competitive power in the level of a company or nation by reducing logistic costs.

Effects of Zoning Structure on Travel Demand Forecasts (존 체계 구축이 교통수요 추정에 미치는 영향에 관한 연구)

  • Han, Myeong-Ju;Seong, Hong-Mo;Baek, Seung-Han;Im, Yong-Taek;Lee, Yeong-In
    • Journal of Korean Society of Transportation
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    • v.29 no.1
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    • pp.17-27
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    • 2011
  • This paper investigates some critical errors influencing travel demand estimation in Korea Transportation Data Base (KTDB), and through this investigation reasonable traffic analysis zone (TAZ) size and internal trips ratio are analyzed. With varying zone size, the accuracy of travel demand estimation is studied and appropriate level of zone size in KTDB is also presented. For this purpose zonal structure consisting of location of zone centroid, number of centroid connecters has been constructed by social economic index, and then some descriptive statistical analyses such as F-test, coefficient of correlation are performed. From the results, this paper shows that the optimum levels of zone system were various according to the order and capacity of roads, and also shows that the smaller TAZ, the less error in this research. In conclusion, in order to improve accuracy of traffic demand estimation it is necessary to make zone size smaller.

Incident Detection for Urban Arterial Road by Adopting Car Navigation Data (차량 궤적 데이터를 활용한 도심부 간선도로의 돌발상황 검지)

  • Kim, Tae-Uk;Bae, Sang-Hoon;Jung, Heejin
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.13 no.4
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    • pp.1-11
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    • 2014
  • Traffic congestion cost is more likely to occur in the inner city than interregional road, and it accounts for about 63.39% of the whole. Therefore, it is important to mitigate traffic congestion of the inner city. Traffic congestion in the urban could be divided into Recurrent congestion and Non-recurrent congestion. Quick and accurate detection of Non-recurrent congestion is also important in order to relieve traffic congestion. The existing studies about incident detection have been variously conducted, however it was limited to Uninterrupted Traffic Flow Facilities such as freeway. Moreover study of incident detection on the interrupted Traffic Flow Facilities is still inadequate due to complex geometric structure such as traffic signals and intersections. Therefore, in this study, incident detection model was constructed using by Artificial Neural Network to aim at urban arterial road that is interrupted traffic flow facility. In the result of the reliability assessment, the detection rate were 46.15% and false alarm rate were 25.00%. These results have a meaning as a result of the initial study aimed at interrupted traffic flow. Furthermore, it demonstrates the possibility that Non-recurrent congestion can be detected by using car navigation data such as car navigator system device.

A Study for Detecting Fuel-cut Driving of Vehicle Using GPS (GPS를 이용한 차량 연료차단 관성주행의 감지에 관한 연구)

  • Ko, Kwang-Ho
    • Journal of Digital Convergence
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    • v.17 no.11
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    • pp.207-213
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    • 2019
  • The fuel-cut coast-down driving mode is activated when the acceleration pedal is released with transmission gear engaged, and it's a default function for electronic-controlled engine of vehicles. The fuel economy becomes better because fuel injection stops during fuel-cut driving mode. A fuel-cut detection method is suggested in the study and it's based on the speed, acceleration and road gradient data from GPS sensor. It detects fuel-cut driving mode by comparing calculated acceleration and realtime acceleration value. The one is estimated with driving resistance in the condition of fuel-cut driving and the other is from GPS sensor. The detection accuracy is about 80% when the method is verified with road driving data. The result is estimated with 9,600 data set of vehicle speed, acceleration, fuel consumption and road gradient from test driving on the road of 12km during 16 minutes, and the road slope is rather high. It's easy to detect fuel-cut without injector signal obtained by connecting wire. The detection error is from the fact that the variation range of speed, acceleration and road gradient data, used for road resistance force, is larger than the value of fuel consumption data.

An Alternative Effectiveness Analysis on Anti-Dew Road Sign (도로표지판의 결로 방지 대안별 효과 분석)

  • Park, Jae-Hong;Yun, Duk-Geun;Sung, Jung-Gon;Kang, Weon-Eui
    • International Journal of Highway Engineering
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    • v.14 no.2
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    • pp.55-61
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    • 2012
  • Road signs are important facilities in terms of providing information to driver, they are helpful for driver's judgment as deliver it's own information. However if there is occurrence dew on the road sign because of the change of temperature and humidity, it can be cause of accidents. Therefore it is necessary to develop anti-dew or dew resistance technology. In this research the anti-dew technologies such as insulation road sign and anti-dew film were compared with normal road sign, and the effectiveness analysis was conducted for each alternatives. The quantity of dew on the road sign was check using ANOVA and Tukey HSD and the relation between the retro-reflectivity and quantity of dew on the sign was check using Pearson correlation coefficient. As a result, the sample of anti-dew film attached road sign showed lesser quantity of dew compared with normal road sign. After 90 seconds, the difference of dew quantity for anti-dew film and insulation road sign showed statistically significant result. The relation of between quantity of dew and retro-reflectivity was inverse correlation. As a result, when analyzed the quantity of dew and retro-reflectivity a point of view anti-dew effectiveness, the anti-dew film and insulation road sign showed meaningful result.

Eco-friendliness Evaluation of a Low-Noise and Dust-Recovery Type Pavement Cutter (저소음·분진회수형 도로절단기의 친환경성 평가)

  • Kim, Kyoon Tai
    • Ecology and Resilient Infrastructure
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    • v.8 no.4
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    • pp.194-203
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    • 2021
  • With the recent increase in maintenance works on water and sewer pipes as well as district heating supply pipes, pavement cutting work using pavement cutter is on the rise. The pavement cutting operation generates considerable dust (cutting sludge) as well as noise; therefore, it is necessary to apply eco-friendly technologies that have low noise and dust recovery capability. Thus far, various equipment for recovering dust have been developed; however, there is a limitation in that the environmental friendliness is not quantified. Therefore, in this study, we developed a low-noise, dust-recovery type pavement cutter that can fundamentally remove the causes of environmental hazards such as noise and dust and evaluated the eco-friendliness of the pavement cutting process performed by this cutter. To this end, an integrated water cooling-sludge recovery system composed of a vacuum device and a sludge suction unit was developed, and the developed system was applied to a pavement cutter. Subsequently, the developed equipment was applied to the test bed, and data related to its eco-friendliness were collected and evaluated. The results showed that the cutting sludge recovery rate of the developed equipment was greater than 83%, the noise level was approximately 82 - 83 dB, and the sound power level was 115 dB. The results of this study will be used as basic data to develop improved pavement cutters in the future with improved cutting sludge recovery performance and lower noise.

Applicability Evaluation of Mobile Mapping System for Road Construction Surveying (도로 시공측량을 위한 모바일맵핑시스템의 적용성 평가)

  • Park, Joon Kyu;Lee, Keun Wang
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.3
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    • pp.169-175
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    • 2022
  • Korea's construction industry has a shortage and aging of construction manpower, low productivity compared to other industries, and a high rate of industrial accidents. The Ministry of Land, Infrastructure and Transport is preparing for the 4th industrial revolution and is expanding investment in construction automation and innovative growth engines to improve productivity in the construction industry. In order for new technologies to be utilized in the road construction field, the accuracy of the technologies and the applicability of each type of work must be evaluated. In this study, the accuracy of the mobile mapping system was tried to verify based on the relevant work regulations, and to suggest the applicability of the mobile mapping system to high-speed driving tracks through data acquisition and analysis on road construction sites. The accuracy of the equipment used in the study was verified in accordance with the relevant work regulations, and the possibility of applying the mobile mapping system used for the study to road construction surveying was presented with a maximum error of less than 10cm in the horizontal and vertical directions. In addition, the possibility of utilizing the road construction survey using the mobile mapping system was presented through comparison with the existing method for data acquisition time for construction surveying, production of construction status survey results, and calculation of heatmap and earthworks. In the future, the use of construction status surveying of the mobile mapping system will greatly improve the efficiency of construction work.

Filtering-Based Method and Hardware Architecture for Drivable Area Detection in Road Environment Including Vegetation (초목을 포함한 도로 환경에서 주행 가능 영역 검출을 위한 필터링 기반 방법 및 하드웨어 구조)

  • Kim, Younghyeon;Ha, Jiseok;Choi, Cheol-Ho;Moon, Byungin
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.1
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    • pp.51-58
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    • 2022
  • Drivable area detection, one of the main functions of advanced driver assistance systems, means detecting an area where a vehicle can safely drive. The drivable area detection is closely related to the safety of the driver and it requires high accuracy with real-time operation. To satisfy these conditions, V-disparity-based method is widely used to detect a drivable area by calculating the road disparity value in each row of an image. However, the V-disparity-based method can falsely detect a non-road area as a road when the disparity value is not accurate or the disparity value of the object is equal to the disparity value of the road. In a road environment including vegetation, such as a highway and a country road, the vegetation area may be falsely detected as the drivable area because the disparity characteristics of the vegetation are similar to those of the road. Therefore, this paper proposes a drivable area detection method and hardware architecture with a high accuracy in road environments including vegetation areas by reducing the number of false detections caused by V-disparity characteristic. When 289 images provided by KITTI road dataset are used to evaluate the road detection performance of the proposed method, it shows an accuracy of 90.12% and a recall of 97.96%. In addition, when the proposed hardware architecture is implemented on the FPGA platform, it uses 8925 slice registers and 7066 slice LUTs.