• Title/Summary/Keyword: 유발교통

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A Study on Cooperative-Intelligent Transport System Attack Scenarios and their Prevention and Response Mechanisms (C-ITS 공격 시나리오와 예방 및 대응 방안 연구)

  • Jang, Yoonsuh;Lee, Dong-Seob;Lim, Dong-Ho;Ahn, So-Hee;Shin, Jeonghoon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.14 no.6
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    • pp.133-140
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    • 2015
  • C-ITS is a system that uses bidirectional communication between two vehicles or infrastructures to control traffic more conveniently, and safely. If C-ITS security is not properly prepared, it can cause traffic congestions and fatal traffic accidents, and therefore can affect greatly on the driver's life. This paper proposes the prevention and response mechanisms based on the cyber attack scenarios that can be used to attack C-ITS.

Snubber Resistor Optimization by Frequency Domain Analyze for PSFB Converter (주파수 해석을 통한 PSFB 컨버터 스너버 저항 최적설계 기법)

  • Ko, Jae Hak;Oh, Seung Min;Kim, Hag-Wone;Cho, Kwan-Yuhl
    • Proceedings of the KIPE Conference
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    • 2018.11a
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    • pp.80-82
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    • 2018
  • 위상천이 풀-브릿지 컨버터(PSFB converter)는 다양한 전원장치에 응용되고 있다. 하지만 2차측에 링잉(ringing)현상이 생겨 다이오드에 과도한 전압 스트레스를 유발하는 문제가 있다. 링잉 현상을 억제하기 위해 스너버 회로를 추가하여 사용해야 하지만 저항 값에 대한 주파수응답 해석이 이루어지지 않아 스너버 튜닝에 많은 시간이 소요되었다. 본 논문에서는 저항 값에 따른 스너버 회로의 주파수 응답특성 분석을 통해 링잉으로 인한 전압 스파이크를 최소화 할 수 있는 저항 값 선정 기법을 제안하며 PSIM/Matlab 시뮬레이션으로 검증한다.

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Analysis of the Unstructured Traffic Report from Traffic Broadcasting Network by Adapting the Text Mining Methodology (텍스트 마이닝을 적용한 한국교통방송제보 비정형데이터의 분석)

  • Roh, You Jin;Bae, Sang Hoon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.3
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    • pp.87-97
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    • 2018
  • The traffic accident reports that are generated by the Traffic Broadcasting Networks(TBN) are unstructured data. It, however, has the value as some sort of real-time traffic information generated by the viewpoint of the drives and/or pedestrians that were on the roads, the time and spots, not the offender or the victim who caused the traffic accidents. However, the traffic accident reports, which are big data, were not applied to traffic accident analysis and traffic related research commonly. This study adopting text-mining technique was able to provide a clue for utilizing it for the impacts of traffic accidents. Seven years of traffic reports were grasped by this analysis. By analyzing the reports, it was possible to identify the road names, accident spot names, time, and to identify factors that have the greatest influence on other drivers due to traffic accidents. Authors plan to combine unstructured accident data with traffic reports for further study.

Estimation of Freeway Accident Likelihood using Real-time Traffic Data (실시간 교통자료 기반 고속도로 교통사고 발생 가능성 추정 모형)

  • Park, Joon-Hyung;Oh, Cheol;NamKoong, Seong
    • Journal of Korean Society of Transportation
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    • v.26 no.2
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    • pp.157-166
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    • 2008
  • This study proposed a model to estimate traffic accident likelihood using real-time traffic data obtained from freeway traffic surveillance systems. Traffic variables representing spatio-temporal variations of traffic conditions were utilized as independent variables in the proposed models. Binary logistics regression modelings were conducted to correlate traffic variables and accident data that were collected from the Seohaean freeway during recent three years, from 2004 to 2006. To apply more reliable traffic variables, outlier filtering and data imputation were also performed. The outcomes of the model that are actually probabilistic measures of accident occurrence would be effectively utilized not only in designing warning information systems but also in evaluating the effectiveness of various traffic operations strategies in terms of traffic safety.

Study on the Prevention of Traffic Accidents of Construction Machinery (건설기계 교통사고 예방 대책 연구)

  • Hyo seung Han;Ilsoo Yun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.6
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    • pp.165-176
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    • 2022
  • In order to prevent various accidents with construction machinery, Korea enacted the Construction Machinery Management Act to enhance safety. Until now, there has been a lack of systematic research related to traffic accidents with construction machinery. Therefore, domestic and foreign systems related to construction machinery were reviewed, and the current status was analyzed based on traffic accident data over the past 5 years to derive implications. It is necessary to ensure the safety of construction machinery by correcting institutional loopholes and preparing follow-up measures. In addition, it is necessary to create a separate traffic-safety education program for construction machinery operators to create an environment that can comply with safe road-driving methods and traffic laws.

Transformer Based Deep Learning Techniques for HVAC System Anomaly Detection (HVAC 시스템의 이상 탐지를 위한 Transformer 기반 딥러닝 기법)

  • Changjoon Park;Junhwi Park;Namjung Kim;Jaehyun Lee;Jeonghwan Gwak
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.47-48
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    • 2024
  • Heating, Ventilating, and Air Conditioning(HVAC) 시스템은 난방(Heating), 환기(Ventilating), 공기조화(Air Conditioning)를 제공하는 공조시스템으로, 실내 환경의 온도, 습도 조절 및 지속적인 순환 및 여과를 통해 실내 공기 질을 개선한다. 이러한 HVAC 시스템에 이상이 생기는 경우 공기 여과율이 낮아지며, COVID-19와 같은 법정 감염병 예방에 취약해진다. 또한 장비의 과부하를 유발하여, 시스템의 효율성 저하 및 에너지 낭비를 불러올 수 있다. 따라서 본 논문에서는 HVAC 시스템의 이상 탐지 및 조기 조치를 위한 Transformer 기반 이상 탐지 기법의 적용을 제안한다. Transformer는 기존 시계열 데이터 처리를 위한 기법인 Recurrent Neural Network(RNN)기반 모델의 구조적 한계점을 극복함에 따라 Long Term Dependency 문제를 해결하고, 병렬처리를 통해 효율적인 Feature 추출이 가능하다. Transformer 모델이 HVAC 시스템의 이상 탐지에서 RNN 기반의 비교군 모델보다 약 1.31%의 향상을 보이며, Transformer 모델을 통한 HVAC의 이상 탐지에 효율적임을 확인하였다.

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Estimating the Economic Effects of Smart Tourism Mobility in Seoul: Using RAS Method (RAS 기법을 활용한 서울 스마트관광 모빌리티의 경제적 파급효과 분석)

  • Hyunae Lee;Hyunji Kim;Namho Chung
    • Knowledge Management Research
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    • v.24 no.4
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    • pp.131-152
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    • 2023
  • One of the key domains within a smart tourism city, smart mobility, encompasses advanced transportation means and services rooted in Information and Communication Technology (ICT). This includes shared bicycles, scooters, car-sharing services, smart transportation infrastructure, and more, aiming to surpass limitations of conventional transport and improve the movement of people and goods. It also serves tourists as an affordable and convenient mode of transport between attractions while also enhancing the overall travel experience. This study has defined 'smart tourism mobility' as a form of mobility grounded in ICT, exhibiting exceptional connectivity, serving public interest, and serving as a mode of transport for both residents and tourists in a smart tourism city. The research aimed to outline the scope of smart tourism mobility-related industries through expert Delphi surveys and estimate their economic effects within a smart tourism city. Specifically, this study updated 2015 input-output table and made 2020 regional input-output table of Seoul adopting RAS method and location quotient method. The results showed that the about 2.8 billion KRW investment of Seoul in smart tourism mobility may create more than 4.1 billion KRW in production inducement effect which is expected to create more than 1.6 billion KRW of income-inducing effect, 3.6 billion KRW of value-added-inducing effect, and 54 employment across all industries in Seoul in 2022.

An Activity-Based Analysis of Contextual Information of Activity Patterns and Profiles (활동기반 접근법에 의한 활동패턴의 맥락적 정보분석과 프로파일)

  • Jo, Chang-Hyeon
    • Journal of Korean Society of Transportation
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    • v.25 no.6
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    • pp.171-183
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    • 2007
  • Urban transport demand is derived from activity participation. A variety of individual daily activities based on the decisions on activity participation result in collective spatial behavior. The travel derived from the effort to overcome the spatially distributed locations of adjacent activities represents the detailed structural relationships among activities. An activity-based approach provides an important framework of analyzing contemporary urban daily life in the sense that it studies the interaction between individuals' daily decision making and social practice in time and space, on the one hand, and socio-spatial environment on the other. The current study identifies representative patterns of urban daily activity implementations and analyzes the correlation between representative patterns and individuals' characteristics and contextual characteristics. The study shows that urban daily activity patterns can be grouped in a limited number of representative patterns, which are systematically correlated with socio-spatial characteristics. The results provide related transportation policy implications.

A Study on Occupational Stress of the VTS Operators (해상교통관제사의 스트레스 수준 측정에 관한 연구)

  • Kim, Yu-Sun;Park, Young-Soo;Jo, So-Hyun
    • Journal of Navigation and Port Research
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    • v.38 no.6
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    • pp.615-621
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    • 2014
  • VTS operators may suffer from acute, chronic, or traumatic stress caused by their workload and working environments associated with task or combination of task. This study intended to measure the level of VTS operator' stress and find out factors influencing it by understanding their characteristics during carrying out their task. For this purpose, analyzed the data collected through conducting survey on VTS operators as the Korea Occupational Stress(KOSS) and Psychological Well-being Index(PWI). As a result, VTS operators are experiencing higher level of psychological stress than the national average. And the factors to cause VTS operators' occupational stress can be summarized as follows; working environment factors, shift work especially night duty, workload, etc. This study provides the fundamental information for understanding human factors of VTS operator' occupational stress.

An Explorative Study on the Internalization of External Costs and the Strategic Reaction of the European Logistics Service Providers (외부비용의 내부화를 위한 유럽에서의 정책 환경 변화와 유럽물류산업의 대응전략)

  • Nam, Sang-Min;Kim, Chung-Yul
    • Journal of Korea Port Economic Association
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    • v.26 no.1
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    • pp.172-194
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    • 2010
  • External costs emerge as a consequence of negative external effects. The EU commission and national government in Europe made themselves the internalization of external costs and began to make various measures. The traffic sector plays an important role. At the same time, it affects as financial loads to logistics service providers and carriers in Europe. This study examines current development in european logistic market conditions. It describes the reaction of different market players and stakeholders in the logistic value chain in EU, Switzerland and Germany. A portfolio of different strategic answers to the changing market environment is being developed. Therefore, different options for the internalization of external costs are proposed. This study finally derives propositions for future research.