• Title/Summary/Keyword: Road maintenance

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Effects of Road on Bird Communities in Forest Areas (산림 지역의 조류 군집에 대한 도로의 영향)

  • 허위행;임신재;이우신
    • Korean Journal of Environment and Ecology
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    • v.17 no.1
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    • pp.1-8
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    • 2003
  • This study was conducted to investigate the effects of road on bird community by line transect census method from May 2000 to January 2001 in Mt. Geumsan, Namhae-Gun, Kyeongsangnam-do. Canopy layer was more developed in forest area than road area. Understory vegetation of road area was more developed than forest area. Twenty six and twenty three bird species were observed in road and forest area, respectively, White's thrush and ashy minivet were observed just only in forest area, and Siberian blue robin, blue-and-white flycatcher and gold crest were in road area. The birds being to bush nesting and foraging guilds in road area were more than forest area. It is known that the road construction was negatively affected on bird community. However, road construction would be not so negative on bird community according to the results of thie study. It would be needed the maintenance of upper canopy layer and understory vegetation to reduce negative effect of road on bird communities in forest area.

A Study on Asset Valuation Method for Road Facilities Maintenance (도로시설물의 자산관리를 위한 자산가치평가방법에 관한 연구)

  • An, Jae-Min;Park, Jong-Bum;Lee, Dong-Youl;Lee, Min-Jae
    • Korean Journal of Construction Engineering and Management
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    • v.13 no.4
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    • pp.141-151
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    • 2012
  • Infrastructure are the essential element in the country for they are the basic facilities forming the basis of economic activity. In Korea Infrastructure which are subject to the management of government are increasing annually, and subsequently the budget of maintenance costs is expected to rise significantly. For the effective management of the constructed and accumulated infrastructure, the integrated management of the future assets will be needed which includes the determination of the asset status, management subjects, and the location, the maintenance of their performance and state, and the prediction of the cost required to increase their useful lifetime. However, in the domestic cases the road facilities valuation has not been done systematically, and the preparation and research on this is scarce. Thus, the systematic procedure for the road facilities valuation is required. In this paper the following study was conducted to derive the reasonable asset valuation methods. First, the valuation methods was investigated and summarized throughout the domestic and international research literature. Second, to apply the investigated valuation methods to the road facilities the valuation process that reflects domestic conditions and characteristics has been developed. Third, a working Bridge, Highways, and General national ways were applied to the general valuation process, and the results were analyzed. As a final step a schematic diagram of the asset management support by WDRC valuation method was presented.

Development of Deep Learning Based Deterioration Prediction Model for the Maintenance Planning of Highway Pavement (도로포장의 유지관리 계획 수립을 위한 딥러닝 기반 열화 예측 모델 개발)

  • Lee, Yongjun;Sun, Jongwan;Lee, Minjae
    • Korean Journal of Construction Engineering and Management
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    • v.20 no.6
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    • pp.34-43
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    • 2019
  • The maintenance cost for road pavement is gradually increasing due to the continuous increase in road extension as well as increase in the number of old routes that have passed the public period. As a result, there is a need for a method of minimizing costs through preventative grievance preventive maintenance requires the establishment of a strategic plan through accurate prediction of road pavement. Hence, In this study, the deep neural network(DNN) and the recurrent neural network(RNN) were used in order to develop the expressway pavement damage prediction model. A superior model among these two network models was then suggested by comparing and analyzing their performance. In order to solve the RNN's vanishing gradient problem, the LSTM (Long short-term memory) circuits which are a more complicated form of the RNN structure were used. The learning result showed that the RMSE value of the RNN-LSTM model was 0.102 which was lower than the RMSE value of the DNN model, indicating that the performance of the RNN-LSTM model was superior. In addition, high accuracy of the RNN-LSTM model was verified through the comparison between the estimated average road pavement condition and the actually measured road pavement condition of the target section over time.

A Study on Utilization of Private Capital for Efficient Highway Pavement Management (효율적인 고속도로 유지관리를 위한 민간자본 활용방안 연구)

  • Lee, Inbum;Lee, Yongjun;Park, Samjae;Cho, Hyunje;Lee, Minjae
    • Korean Journal of Construction Engineering and Management
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    • v.19 no.1
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    • pp.3-11
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    • 2018
  • In order to find methods to encourage active private participation for efficient road maintenance, this study examined the status of the road improvement project and the development of the private capital utilization improvement project. Based on this, the study conducted a case study and a financial feasibility study that applied the new business method and selected the applicable business method. As a result, it is analyzed that the method of using Crowd Funding is more advantageous than the private scheme of the private capital utilization improvement project. This is because it will be highly effective in raising funds from users of highway users, especially users of improvement projects. In addition, it can also mean that the road users who suffer from inconvenience due to the construction can return the toll profit of road construction to the user.

A Study on Crack Detection in Asphalt Road Pavement Using Small Deep Learning (스몰 딥러닝을 이용한 아스팔트 도로 포장의 균열 탐지에 관한 연구)

  • Ji, Bongjun
    • Journal of the Korean GEO-environmental Society
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    • v.22 no.10
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    • pp.13-19
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    • 2021
  • Cracks in asphalt pavement occur due to changes in weather or impact from vehicles, and if cracks are left unattended, the life of the pavement may be shortened, and various accidents may occur. Therefore, studies have been conducted to detect cracks through images in order to quickly detect cracks in the asphalt pavement automatically and perform maintenance activity. Recent studies adopt machine-learning models for detecting cracks in asphalt road pavement using a Convolutional Neural Network. However, their practical use is limited because they require high-performance computing power. Therefore, this paper proposes a framework for detecting cracks in asphalt road pavement by applying a small deep learning model applicable to mobile devices. The small deep learning model proposed through the case study was compared with general deep learning models, and although it was a model with relatively few parameters, it showed similar performance to general deep learning models. The developed model is expected to be embedded and used in mobile devices or IoT for crack detection in asphalt pavement.

A Study on the Architecture Design of Road and Facility Operation Management System for 3D Spatial Data Processing (3차원 공간데이터 처리를 위한 차로 및 시설물 운영 관리 시스템 아키텍처 설계 연구)

  • KIM, Duck-Ho;KIM, Sung-Jin;LEE, Jung-Uck
    • Journal of the Korean Association of Geographic Information Studies
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    • v.24 no.4
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    • pp.136-147
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    • 2021
  • Autonomous driving-related technologies are developing step by step by applying the degree of driving. It is essential that operational management technology for roads where autonomous vehicles move should also develop in line with autonomous driving technology. However, in the case of road operation management, it is currently managed using only two-dimensional information, showing limitations in the systematic operation management of lane and facility information and maintenance. This study proposed a plan to construct an operation management system architecture capable of 3D spatial information-based operation management by designing a convergence database that can process real-time big data with high-definition road map data. Through this study, when using a high-definition road map based operation management system for lane and facility maintenance in the future, it is possible to visualize and manage facilities, edit and analyze data of multiple users, link various GIS S/W and efficiently process large scale of real-time data.

Patent Technologies for Reducing Micro-Dust (미세먼지 저감을 위한 특허기술들)

  • Cho, Taejun;Kim, Tae-Soo
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.24 no.2
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    • pp.9-14
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    • 2020
  • Four developed patents have applied for a new type of Composite Cyclone Scrubber followed by the previous research (Cho and Kim, 2017), including dust reducing fan with filters. Regarding target installation and maintenance cost, 64% reduction for investment costs (6.2 billion won vs. 17 billion won) compared to existing road pollution reduction system, while social benefit costs increase by 43% compared to existing road pollution reduction measures (72.6 billion won vs. 50.8 billion won). The composition of the device is an air blower type spiral guide vane, and an injection pressure collecting dust efficiency. A nozzle varies Injection angle and contact range, spray liquid species (waterworks, salty water). The proposed patent tests are circulation water Time-by-Time Spray and collected 41.4% more increased micro dust since the sprayed water meets contaminated gas due to the 45° degree colliding, which is 141% increased conventional dust collector. (Ratio of collection over 85%). As regards the source of collection liquid, circulated rainwater and well water, we expect a huge amount of energy and economically saved eco-friendly system in our patent. Finally, the guided vane and metal filter reduced over 90% micro-dust, while sprayed water cleans the vane and filters, resultantly minimizing the maintenance budget. The preliminary evaluations of the developed design make it possible to reduce not only cheaper maintenance budget due to the characteristic water spraying but the cost of water comes from mainly rain and underground.

Analysis of Field Infrastructure Improvement Types according to Geographic Characteristics and Spatial Distribution of Upland - Comparison of Muan-gun and Hwasun-gun - (지형 특성과 경작지 분포를 고려한 밭정비 유형 분석 - 무안군과 화순군 비교 -)

  • Lee, Jimin;Yoo, Seung-Hwan;Oh, Yun-Gyeong;Kim, Ara
    • Journal of The Korean Society of Agricultural Engineers
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    • v.60 no.6
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    • pp.133-144
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    • 2018
  • To suggest the field maintenance plan considering the geographical characteristics of the region, we selected representative regions(plain regione and mountain region) and compared spatial distribution of cultivated land in Muan-gun and Hwasun-gun. Firstly, we examined the distribution characteristics of cultivated land according to the scope of the maintenance object with Fragstats. As a result of that, it was found that the cultivated area except rice paddy had the highest aggregation effect. And then, we developed type classification of maintenance considering geographic characteristics and cultivated crops information. As a result of classification, plain land type Muan region was mostly cultivated land suitable for integrated maintenance. On the other hand, Hwasun, a mountainous terrain, needs small-scale maintenance and road maintenance. Based on these results, it was found that more detailed planning is needed for the upland field infrastructure improvement considering the topographic characteristics.

Development of the Performance-Based Bridge Maintenance System to Generate Optimum Maintenance Strategy Considering Life-Cycle Cost (생애주기비용을 고려한 성능기반 교량 최적 유지관리 전략 수립 시스템 개발)

  • Park, Kyung-Hoon;Lee, Sang-Yoon;Hwang, Yoon-Koog;Kong, Jung-Sik;Lim, Jong-Kwon
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.11 no.4
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    • pp.109-120
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    • 2007
  • In this study, a bridge maintenance system is developed to generate performance-based optimum maintenance strategy by considering the life-cycle cost. A multi-objective combinatorial optimization problem is formulated to generate a tradeoff maintenance scenarios which satisfies the balance among the conflicting objectives such as the performance and cost during the bridge lifetime and a genetic algorithm is applied to the system. By using the developed program, this study proposes a process of optimum maintenance scenario applying to the steel girder bridge of national road. The developed system improves the current methods of establishing the bridge maintenance strategy and can be utilized as an efficient tool to provide the optimum bridge maintenance scenario corresponding to the various constraints and requirements of bridge agency.

Differences in Field Sign Abundance of Mammal Species Around the Roads in Baekdudaegan Mountains

  • Hur, Wee-Haeng;Lee, Woo-Shin;Choi, Chang-Yong;Park, Young-Su;Lee, Chang-Bae;Rhim, Shin-Jae
    • Journal of Korean Society of Forest Science
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    • v.94 no.2 s.159
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    • pp.112-116
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    • 2005
  • This study was conducted to obtain the information of distribution, protection and management for mammal species in fragmented forest areas around the road from June 2002 to May 2003 in 9 study sites of Baekdugdaegan mountains, Korea. Field signs of twelve mammals, moles Molera robusta, Korean hares Lepus coreanus, Manchurian chipmunk Tamias sibiricus, red squirrels Sciurus vulgaris, Korean racoon dogs Nyctereutes procyonoides, Siberian weasels Mustela sibirica, badgers Meles meles, otters Lutra lutra, Bengal cats Felis bengalensis, wild boars Sus scrofa, water deer Hydropotes inermis and roe deer Capreolus pygargus were recorded in this study. There were no differences in total number of species between 50 m areas and 50-100 m areas from road in snow and non-snow season. Number of mammals' field signs were different in non-snow season between both areas. Red squirrels and Siberian weasels were more abundant in 50 m areas, and Korean hares and Manchurian chipmunks were in 50-100 m areas. Habitat using pattern of mammal species may be affected by the road. Reasonable road construction and maintenance would be needed for protection and management of wildlife and their habitats.