• 제목/요약/키워드: Traffic Trends

검색결과 204건 처리시간 0.026초

자율주행 자동차 보안기술 동향 (Security Trends for Autonomous Driving Vehicle)

  • 권혁찬;이석준;최중용;정병호;이상우;나중찬
    • 전자통신동향분석
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    • 제33권1호
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    • pp.78-88
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    • 2018
  • As the traffic environment gradually changes to autonomous driving and intelligent transport systems, vehicles are becoming increasingly complicated and intelligent, and their connectivity is greatly expandinged. As a result, attack vectors of such vehicles increasing, and security threats further expanding. Currently, various solutions for vehicle security are being developed and applied, but the damage caused by cyber attacks is still increasing. In recent years, vehicles such as the Tesla Model S and Mitsubishi Outlander have been hacked and remotely controlled by an attacker. Therefore, there is a need for advanced security technologies to cope with increasingly intelligent and sophisticated automotive cyber attacks. In this article, we introduce the latest trends of autonomous vehicles and their security threats, as well as the current status and issues of security technologies to cope with them.

미국의 재난방송 시스템 기술 동향 (Disaster Broadcasting System Technologies and Trends in the US)

  • 조용성;배병준;김흥묵
    • 전자통신동향분석
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    • 제33권3호
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    • pp.51-58
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    • 2018
  • Natural and social disasters, such as typhoons, floods, earthquakes, volcanoes, fires, explosions, and traffic accidents occur frequently around the world. In Korea, a vicious cycle of large-scale accidents caused by natural disasters and insensitivity to safety is repeated each year. In particular, the tragic sinking of the Sewol ferry in 2014 and strong earthquakes with a magnitude of 5.0 and greater in Gyeongju and Pohang in 2016 and 2017, respectively, threw the entire country into a state of shock, increasing the public anxiety regarding disaster preparedness. This paper discusses the trends in broadcast emergency alert systems used to minimize damage from a disaster by delivering urgent status information quickly and accurately through a broadcast network, and to provide information regarding disaster risk and emergency evacuation procedures.

오토모티브 이더넷 보안 기술 (Trends in Automotive Ethernet Security Technology)

  • 정보흥;김대원;전부선;주홍일;나중찬
    • 전자통신동향분석
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    • 제33권5호
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    • pp.76-85
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    • 2018
  • In recent years, automobiles have evolved from simple transportation to convergence devices, and have combined the Internet of things, high-speed communications, and artificial intelligence technologies to provide people with social and cultural benefits. To provide services such as a smart traffic analysis, autonomous driving, and unmanned driving, automobiles applying these technologies are required to perform various types of sensing and image analyses for vehicle recognition and distance measurements. addition, there has been a rapid increase in the need to introduce an automotive Ethernet, that can provide a wide bandwidth to support. such technologies. In this article, we survey the latest trends in automotive Ethernet based automobiles and their security threats, and analyze the status and prospects of security technologies applied to cope with them.

초저전력 엣지 지능형반도체 기술 동향 (Trends in Ultra Low Power Intelligent Edge Semiconductor Technology)

  • 오광일;김성은;배영환;박성모;이재진;강성원
    • 전자통신동향분석
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    • 제33권6호
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    • pp.24-33
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    • 2018
  • In the age of IoT, in which everything is connected to a network, there have been increases in the amount of data traffic, latency, and the risk of personal privacy breaches that conventional cloud computing technology cannot cope with. The idea of edge computing has emerged as a solution to these issues, and furthermore, the concept of ultra-low power edge intelligent semiconductors in which the IoT device itself performs intelligent decisions and processes data has been established. The key elements of this function are an intelligent semiconductor based on artificial intelligence, connectivity for the efficient connection of neurons and synapses, and a large-scale spiking neural network simulation framework for the performance prediction of a neural network. This paper covers the current trends in ultra-low power edge intelligent semiconductors including issues regarding their technology and application.

도심항공모빌리티(UAM) 관련 정책·산업 동향 및 이슈 (Policy and Industry Trends in Urban Air Mobility)

  • 홍아름;박안선;김민선
    • 전자통신동향분석
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    • 제38권4호
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    • pp.36-46
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    • 2023
  • This paper presents concepts, policies, industry trends, and related issues in urban air mobility (UAM). UAM will contribute to transportation by mitigating traffic congestion and environmental problems in the future. Accordingly, governments of major countries are promoting UAM policies and demonstration projects as well as preparing laws and certification standards. In UAM, overseas startups lead airframe developments, and major companies from the aircraft, automotive, and information technology industries are also participating. In addition, startups and major companies are building the corresponding infrastructure. For the development of UAM, issues related to technology, regulation systems, and infrastructure still need to be resolved.

계절 및 회원 특성이 공공자전거 통행에 미치는 영향분석 : 서울시 따릉이를 대상으로 (Effects of Seasonal and Membership Characteristics on Public Bicycle Traffic : Focusing on the Seoul Bike)

  • 장재민;이숭봉;이영인;이무영
    • 한국도로학회논문집
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    • 제20권4호
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    • pp.47-58
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    • 2018
  • PURPOSES : Seoul introduced public bicycles to reduce environmental pollution and create a healthy society. Because the use of bicycles is highly weather dependent, and bicycles are rented by the people, member characteristics and seasonal influences should be considered. This study analyzed bicycle traffic characteristics considering seasonal and member characteristics and highlighted some implications. METHODS : The Yeouido and Sangam districts, which have multiple business districts, were taken as the areas of interest. In order to reflect seasonal and membership characteristics, the traffic volume, time of use, and characteristics of each zone were categorized by season (spring, summer, autumn, winter) and membership type (season, daily, group). In addition, we analyzed the pattern of traffic volume and usage time according to the traffic purpose after separating rental locations into residential, business, subway, and park, reflecting the land characteristics. RESULTS : The results revealed that seasonal characteristics were high for bicycle traffic, time of use, and occupancy rate for park locations in spring and autumn. In terms of membership characteristics, group and daily users appeared as major visitors for park locations, and the trends of commuter pass users showed that bicycle use meets the purpose of introducing public bicycles. CONCLUSIONS : Traffic characteristics differed according to seasonal and membership characteristics. It is necessary to involve and extend the users of the commuter pass. Situations in which commuter pass users cannot function as a group or in which daily users monopolize bicycles (especially near parks, near subway stations, etc.) must be avoided.

임신 중 교통사고의 한의학적 치료에 대한 연구동향 분석 (Research Trends of Korean Medicine Treatment for Traffic Accidents during Pregnancy)

  • 김남훈;황덕상;이진무;이창훈;장준복
    • 대한한방부인과학회지
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    • 제32권3호
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    • pp.73-85
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    • 2019
  • Objectives: The purpose of this study was to analyze efficacy and safety of Korean Medicine treatment for traffic accidents during pregnancy. Methods: We investigated the studies on Korean Medicine treatment for traffic accidents during pregnancy via searching through PUBMED, the Cochrane Library, CNKI, and domestic search engines and a total of 6 studies were selected. Results: The major complaints of traffic accidents during pregnancy were low back pain, neck pain and gastrointestinal symptoms. And there were vaginal bleeding and pruritus vulvae in the complaints. All of the studies were given acupuncture treatment for symptom relief, and chuna, herbal acupuncture and cupping were administered. Herbal medicine was also performed, and the most prescribed herbal medicine was Antaeeum-gamibang. All cases reported as traffic accidents during pregnancy showed a reduction in symptoms, normal pregnancy maintenance and delivery, and no miscarriage were reported. Conclusions: Korean Medicine treatment is an effective and safe treatment option for traffic accidents during pregnancy. Further systematic studies are needed to establish the basis for Korean Medicine treatment for traffic accidents during pregnancy.

자율비행기술 동향 (Development Trend of the Autonomous Flight Control Technology)

  • 성기정;김응태;김성필
    • 항공우주산업기술동향
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    • 제6권2호
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    • pp.143-153
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    • 2008
  • 본 논문에서는 자율비행(Autonomous Flight)의 연구동향 및 향후 발전방향에 대하여 기술하였다. 자율비행은 항공기의 예기치 않은 임의상황 발생에 대해서도 항공기가 스스로 인지하고, 판단 한 후 대처하는 것을 의미한다. 현재의 자율비행기술은 무인기를 위주로 개발되고 있으나, 차세대 항공교통관제 시스템 도입과 무인기의 활용성 증대 요구에 따라 자율비행기능이 항공교통관제시스템과 결합되어야 한다. 그러므로 현 항공교통관제 시스템의 주요 개요와 향후 변경될 차세대 항공교통관제 시스템의 주요 사항들을 살펴보았고, 자율비행기술 개발 현황을 기술하였으며 향후 발전방향을 전망하였다.

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국내 3대 주요 컨테이너항만의 장래 컨테이너선박 교통량 추정 (The Estimation of the Future Container Ship Traffic for Three Major Ports in Korea)

  • 김정훈
    • 한국항해항만학회지
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    • 제31권5호
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    • pp.353-359
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    • 2007
  • 컨테이너항만의 물동량이 증가하는 추세에서 장래에 발생될 컨테이너선박의 교통량을 예측한다면 항만의 효율적인 계획과 운영관리를 사전에 수립할 수 있다. 해상교통 관점에서도 컨테이너선박의 입 출항 척수를 장기적으로 추정하고, 이를 근거로 해상교통수요를 원활하게 처리할 수 있는 합리적인 방안을 계획할 수 있다. 따라서 본 연구에서는 전국항만 기본계획에서 제시된 부산항, 광양항, 인천항의 컨테이너 물동량 예측자료를 토대로 각 항만에 대한 컨테이너선의 장래 입 출항 교통량을 추정하였다. 이를 위해서 컨테이너선박의 척당 물동량 추세를 ARIMA 모형을 통해 예측하고, 계절지수를 산출하였다. 이와 같이 예측된 척당 물동량을 2011년, 2015년, 그리고 2020년의 컨테이너 물동량에 대비시켜 발생예상의 해상교통량을 추정하였다.

${\cdot}$공간적 고해상도 자동차 배출량 모형의 개발 (Development of Vehicle Emission Model with a High Resolution in Time and Space)

  • 박성규;김신도;박기학
    • 한국환경보건학회지
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    • 제30권3호
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    • pp.293-299
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    • 2004
  • Traffic represents one of the largest sources of primary air pollutants in urban area. As a consequence, numerous abatement strategies are being pursued to decrease the ambient concentration of pollutants. A characteristics of most of the these strategies is a requirement for accurate data on both the quantity and spatial distribution of emissions to air in the form of an atmospheric emission inventory database. In the case of traffic pollution, such an inventory must be compiled using activity statistics and emission factors for vehicle types. The majority of inventories are compiled using passive data from either surveys or transportation models and by their very nature tend to be out-of-date by the time they are compiled. The study of current trends is towards integrating urban traffic control systems and assessments of the environmental effects of motor vehicles. In this study, a model of vehicle emission calculation by using real-time traffic data was studied. Traffic data, which are required on a street-by-street basis, is obtained from induction loops of traffic control system. It is possible that characteristics of hourly air pollutants emission rates is obtained from hourly traffic volume and speed. An emission rates model is allocated with a high resolution space by using geographic information system (GIS). Vehicle emission model was developed with a high resolution spatial, gridded and hourly emission rates.