• Title/Summary/Keyword: 스마트-시티

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Applicability of Artificial Intelligence Techniques to Forecast Rainfall and Flood Damage in Future (미래 강우량 및 홍수피해 전망을 위한 인공지능 기법의 적용성 검토)

  • Lee, Hoyong;Kim, Jongsung;Seo, Jaeseung;Kim, Sameun;Kim, Soojun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.184-184
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    • 2021
  • 2020년의 경우 대기 상층 제트기류가 크게 강화됨에 따라 작은 규모의 저기압의 발달이 평년보다 두 배 이상 증가하였고, 그로 인해 장마가 최대 54일가량 지속되며 1조 371억 원 가량의 대규모 침수피해가 발생하였다. 이와 같이 최근 기후변화로 인한 이상 기후가 빈번하게 발생하고 있으며, 그로 인해 홍수, 태풍과 같은 재난의 강도 및 파급되는 재산피해가 점차 증가하고 있는 추세이다. 따라서 본 연구에서는 기후변화를 고려하여 향후 30년간 강우량 변화 추이를 파악하고, 이에 따라 파급되는 재난피해 규모의 증가 추세를 확인하고자 하였다. 기후변화 시나리오는 IPCC AR6(Intergovernmental Panel on Climate Change - Sixth Assessment Report)에서 제시하고 있는 시나리오 중 극한 시나리오인 SSP5-8.5와 안정화 시나리오인 SSP2-4.5 시나리오를 활용하고자 하였다. GCM(General Circulation Model) 자료는 전 지구적 모형으로 공간적 해상도가 낮은 문제가 있기 때문에, 국내 적용을 위해서는 축소기법을 적용해야 한다. 본 연구에서는 공간적 축소를 위해 통계학적 기법 중 인공지능 기법을 적용하고 Reference data와 종관기상관측(ASOS)의 실측 강우 자료(1905 ~ 2014년)를 통해 학습된 모형의 정확도 검증을 수행하였다. 또한 연 강수량과 연도별 홍수피해의 규모 및 빈도를 확인하여 연도별 강수량 증가에 따른 피해 규모의 증가를 관계식을 도출하였다. 이후 최종적인 축소기법으로 모형을 통해 향후 2050년까지 부산광역시의 예측 강우량을 전망하여 연 강수량의 증가량과 피해 규모의 증가량을 전망해보고자 하였다. 본 연구 결과는 부산광역시의 예방단계 재난관리의 일환으로 적응형 기후변화 대책 수립에 기초 자료로써 활용될 수 있을 것이다.

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Trends in Evaluation Techniques for Leaching of Heavy Metals and Nutrients according to Sediment Resuspension in Rivers and Lakes (하천 및 호소 내 퇴적물 재부유에 따른 중금속 및 영양염류 용출량 평가기법 동향)

  • Sang-Gyu Yoon;Seoyeon Han;Haewook Kim;Ihn-Sil Kwak;Jinsung An
    • Journal of Soil and Groundwater Environment
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    • v.28 no.5
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    • pp.1-11
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    • 2023
  • The phenomenon of sediment resuspension in rivers and lakes causes contaminants (heavy metals and nutrients) accumulated in the sediment to leach into the overlying water. As a result, it can lead to changes in toxic effects and eutrophication in the aquatic ecosystem. In this regard, it is important to quantitatively determine the amount of contaminants leached during sediment resuspension. In this study, methods for assessing the amount of released contaminants and the types of contaminants potentially released due to sediment resuspension were studied and summarized. Methods for assessing leaching can be divided into three groups based on the principle of causing resuspension: (i) the oscillating grid chamber method, (ii) the mechanical stirrer method, and (iii) the shaker method. It was confirmed that the types of contaminants that can potentially be released include heavy metals bound to sulfides, as well as exchangeable and labile forms of heavy metals and nutrients. To effectively manage stable aquatic ecosystems in the future, a simplified leaching test method is needed to assess in advance the risks (i.e., changes in toxic effects and eutrophication) that sediment resuspension may pose to aquatic ecosystems.

Analysis of the Effect of Yellow Carpet Installation according to Driving Behavior with Eye Tracking Data (가상주행실험 기반 운전자 시각행태에 따른 옐로카펫 설치 효과 분석)

  • Sungkab Joo;Dohoon Kim;Hyemin Mun;Homin Choi
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.5
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    • pp.43-52
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    • 2023
  • Traffic accidents among children have been decreasing after the installation of yellow carpets. However, the explanatory power of the causal relationship between yellow carpet installation and traffic accidents is still insufficient. The yellow carpet effect was analyzed in greater depth using virtual reality (VR) simulation experiments in various situation that could not be evaluated in existing actual vehicle research studies due to difficulties or risks in implementation. A target site where an actual yellow carpet was installed was selected and, implemented into a virtual environment. Subjects were made to, were gaze measurement equipment and ride the simulator. The visual/driving behavior before and after yellow carpet installation was compared, and a t-test analysis was performed for statistical verification. All the results were found to be statistically significant.

Seismic Performance of Piloti-Type Structures with Columns Strengthened with Aramid Fiber Sheets (아라미드 섬유시트로 기둥 보강된 필로티 구조물의 내진성능 평가)

  • Keun-Hyeok Yang;Ju-Hyun Mun;Chae-Rim Im;Kwang-Geun Rho
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.27 no.6
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    • pp.201-210
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    • 2023
  • This study is to evaluate the ductility strengthening effect of aramid fiber sheets on piloti-type structures. Two piloti-type structure specimens were prepared and tested under statical cyclic lateral loads. The ductility strengthening effect was validated from the analysis of lateral load-displacement relationship, displacement ductility ratio, work damage index and torsion behavior. Test results showed that the post-peak behavior of piloti-type structures with columns strengthened with aramid fiber sheets tended to be ductile resulting from preventing shear failure and minimizing torsion due to the effective lateral confinement of column concrete by aramid fiber sheet. Consequently, the displacement ductility ratio and work damage index of piloti-type structures with columns with strengthened with aramid fiber sheets were 4.63 and 42.81 times higher than those of non strengthened piloti-type structures.

Estimation of Concrete Durability Subjected to Freeze-Thaw Based on Artificial Neural Network (인공신경망 기반 동결융해 작용을 받는 콘크리트의 내구성능 평가)

  • Khaliunaa Darkhanbat;Inwook Heo;Seung-Ho Choi;Kang Su Kim
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.27 no.6
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    • pp.144-151
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    • 2023
  • In this study, a database was established by collecting experimental results on various concrete mixtures subjected to freeze-thaw cycles, based on which an artificial neural network-based prediction model was developed to estimate durability resistance of concrete. A regression analysis was also conducted to derive an equation for estimating relative dynamic modulus of elasticity subjected to freeze-thaw loads. The error rate and coefficient of determination of the proposed artificial neural network model were approximately 11% and 0.72, respectively, and the regression equation also provided very similar accuracy. Thus, it is considered that the proposed artificial neural network model and regression equation can be used for estimating relative dynamic modulus of elasticity for various concrete mixtures subjected to freeze-thaw loads.

A Study on the Development Priority of Automation Technology for Architectural Planning and Design - Based on the Survey Architectural Design Office - (건축 기획설계 자동화 기술개발 우선순위 도출에 관한 연구 - 건축설계 사무소 실무자 설문 조사에 기초하여 -)

  • Moon, Seong-Wan;Yang, Seung-Won;Kim, Sung-Ah
    • Journal of KIBIM
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    • v.13 no.4
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    • pp.1-12
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    • 2023
  • In Korea, there are many attempts to automate architectural design tasks, focusing on government-led national R&D projects and private operators, in order to enhance global competitiveness and productivity of the building service industry. However, according to a survey of architectural design office practitioners, only 25% (9 out of 37) have used it, suggesting that there are fewer cases of practical use in the field compared to research and investment in automation technology development, and there are discrepancies between automation and technology development items required in the field. In this study, the priority of automation of planning and design work of architectural design office practitioners is derived, and a comparative analysis is conducted with domestic architectural design automation service items based on the priority. A survey was conducted on practitioners of domestic architectural design offices to derive automation priorities for 19 items of architectural planning and design work. Based on the derived priorities, the degree of reflection of the working-level automation needs of domestic services was confirmed by comparing them with the domestic architectural planning and design automation service items. As a result, it was confirmed that domestic architectural planning and design automation services did not properly reflect the priority of planning and design work automation of architectural design office practitioners. This suggests that it is necessary to reflect the priorities derived in this study in technology development in order to increase the cases of practical use of the automation technology in the working environment and improve the productivity of service.

Estimation of Driving Behavior Characteristics through Self-Reported-Based Driving Propensity (자기보고 기반 운전성향을 통한 주행행태 특성 추정 연구)

  • Sooncheon Hwang;Dongmin Lee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.1
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    • pp.26-41
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    • 2024
  • To ensure safer road conditions, understanding the human factors influencing driving behavior is crucial. However, there are many difficulties in deriving the characteristics of individual human factors that affect actual driving behaviors. Therefore, this study analyzes self-reported dangerous-driving propensities in order to explore potential correlations with drivers' behaviors. The goal is to propose a method for assessing driving tendencies based on varying traffic scenarios. The study employed a questionnaire to gauge participants' propensity to drive dangerously, utilizing a simulator to analyze their driving behaviors. The aim is to determine any notable connections between dangerous-driving propensity and specific driving behaviors. Results indicate that individuals exhibiting a high propensity for reckless driving, as identified by the Korean DBQ, tend to drive at higher speeds and display more aggressive acceleration patterns. These findings contribute to a potential method for assessing reckless driving drivers.

Evaluation of Basic Properties of Methyl Methacrylate (MMA) as a Road Repair Material (Methyl Methacrylate(MMA)계 도로보수재의 기초 물성 평가)

  • Choi, Byung-Cheol;Kim, Gyu-Yong;Pyeon, Su-Jeong;Ji, Sung-Jun;Eu, Ha-Min;Nam, Jeong-Soo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.11a
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    • pp.109-110
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    • 2023
  • Domestic ultra-hard road repair materials require a lot of time before the road can be opened to traffic. Therefore, in this study, Methyl Methacrylate (MMA) based road repair material was used to improve the above problems. Furthermore, the basic physical properties of MMA-based pavement repair materials are examined to confirm their suitability in concrete pavements. For this study, two types of MMA road repair materials (A type and B type) were selected. Then, the curing of the test specimens prepared for painting was carried out under three conditions. The experimental items were viscosity (drop time) and drying time (set to touch, dry-hard). As a result of the experiment, viscosity (drop time) was faster in type A than in type B. The drying time results were as follows. In the case of set ti touch, both type A and type B dried in about 10 minutes regardless of the curing conditions. In the case of dry-hard, regardless of the curing conditions, A type dried longer than B type, but it dried faster than conventional road repair materials. Therefore, within the scope of this study, it is considered that A type has a high potential for utilization as a road repair material.

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A Study on User Satisfaction Evaluation of Acceleration-Based Automated Driving Patterns (가속도 기반 자율주행 패턴에 대한 이용자 만족도 평가 연구)

  • Sooncheon Hwang;Dongmin Lee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.6
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    • pp.284-298
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    • 2023
  • With the rapid advances in automated driving technology, opportunities to experience automated driving directly or indirectly are being provided to the public. On the other hand, research on the preferred automated driving patterns from the user's perspective has not been conducted in Korea. This study used a driving simulator and an experimental vehicle capable of automated driving to evaluate the user satisfaction regarding longitudinal and lateral accelerations. Automated driving patterns were implemented in a virtual environment simulation using five values of longitudinal and lateral accelerations derived from driving experiments. Among these values, three were implemented through experimental vehicle-based automated driving to evaluate satisfaction and anxiety. The participants evaluated lateral acceleration more sensitively than longitudinal acceleration and showed higher levels of anxiety. Based on these results, the necessity of user-oriented evaluation research for automated driving patterns and the suitability of simulator-based evaluation methods were presented.

A Study on the Road Capacity Reduction Rate of Freeway Tunnel Section (고속도로 터널부 도로 용량 감소율에 관한 연구)

  • Sunhoon Kim;Dongmin Lee;Sooncheon Hwang
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.3
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    • pp.17-28
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    • 2024
  • In this study, the capacity of the tunnel and the general section was calculated and compared using the VDS detector data, and the decrease rate in capacity of the tunnel section was analyzed by tunnel type. To compare the capacity of the tunnel and the general section, the Product Limit Method (PLM) was applied to the VDS detector data. As a result of comparing the capacity of the tunnel and general section, the capacity of the tunnel section decreased by about 6.5% compared to the general section. To classify the tunnel type, the tunnel extension and the number of lanes were used as variables, and there was a difference in the decrease rate of capacity by tunnel group classified by each criterion.