• Title/Summary/Keyword: 교통관리시스템

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Advanced Freeway Traffic Safety Warning Information System based on Surrogate Safety Measures (SSM): Information Processing Methods (Surrogate Safety Measures(SSM)기반 고속도로 교통안전 경고정보 처리 및 가공기법)

  • O, Cheol;O, Ju-Taek;Song, Tae-Jin;Park, Jae-Hong;Kim, Tae-Jin
    • Journal of Korean Society of Transportation
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    • v.27 no.3
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    • pp.59-70
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    • 2009
  • This study presents a novel traffic information system which is capable of detecting unsafe traffic events leading to accident occurrence and providing warning information to drivers for safer driving. Unsafe traffic events are captured by a vehicle image processing-based detection system in real time. Surrogate safety measures (SSM) representing quantitative accident potentials were derived, and further utilized to develop a data processing algorithm and analysis techniques in the proposed system. This study also defined 'emergency warning area' and 'general warning area' for more effective provision of warning information. In addition, methodologies for determining thresholds to trigger warning information were presented. Technical issues and further studies to fully exploit the benefits of the proposed system were discussed. It is expected that the proposed system would be effective for better management of traffic flow to prevent traffic accidents on freeways.

The vehicle awareness technology by using complex sensors (복합 센서를 이용한 차량 인식기술)

  • Lee, Chun-Gyeong;Song, Sung-Keun;Kang, Byung-Kil;Youn, Hee-Yong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2010.07a
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    • pp.341-343
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    • 2010
  • 현재 사용되는 차량 검지기는 크게 두 가지 검지기가 사용되고 있다. 그 종류는 루프 검지기와 영상 검지기인데 지금 이러한 두 가지 유형은 설치 이용되고 있고, 이러한 검지기로부터 수집된 교통량, 속도 등의 실시간 교통 자료는 가공과정을 거친 후 반복/비 반복 정체관리, 돌발 상황관리, 경로안내 서비스 등 다양한 서비스에 활용하고 있으나, 이들 용도 이외에 더욱더 다양한 서비스를 지원하는 작업이 필요하며 예를 들면, 교통정책 평가, 교통사업 평가, 교통안전 증진 등의 다양한 목적으로 활용하는 서비스를 지원하는 것이어야 하겠다. 따라서 현재 이용되는 차량 검지기 시스템의 확대 설치가 이루어져야 한다. 그러나 루프 검지기와 영상 검지기는 복잡한 공사를 수반하며, 가격 또한 높고 USN 기반의 인식 기술에 비해 경제성과 경쟁력이 떨어진다. 따라서 다양한 공공/민간 교통서비스 및 u-City의 응용 서비스 기술에 필요한 USN 기반의 차량 식별/인식/속도 검지 기술의 개발이 필요하다.

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A Study on Social Perception on the Regulatory Information Service Diffusion of Traffic Facilities (교통안전시설 정보개방 서비스 확산을 위한 인식 조사 연구)

  • Im, I-Jeong;Kim, Youngmin
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.2
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    • pp.1-17
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    • 2020
  • This Study aims to change and expand present traffic regulation from the human driver to Automated Vehicle(AV), we conducted an in-depth interview(IDI) into the traffic regulation service's strategy for an AV-related information consumer group(AVs and service developers) and a manager group (an information service management agency). The IDI results confirmed several important opinions and requirements for an information service by regulatory information manager groups (enough for AV development), such as a systematic need for dynamic regulatory information and a unified information management system. Also, we find out implications about adopting the Internet of Things (IoT) technology in traffic safety facilities to provide dynamic regulation information on the roads.

The traffic management system for Emergency Vehicles based on DSRC System (DSRC 시스템 기반의 긴급차량을 위한 교통 관리 시스템)

  • Choi Kwang-Joo;Kim Dae-Hyuk;Yoon Dong-Weon;Park Sang-Kyu
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.9 s.351
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    • pp.40-48
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    • 2006
  • In this paper, we propose the EPTS(Emergency vehicle Priority Transit system) for a rapid drive or emergency vehicles at the crossroads. The EPTS is one part of real-time traffic management system in the advanced traffic management system. The EPTS needs the connection or a traffic control system and a DSRC system. It can be applied to the real traffic situation considered with other traffic elements. As the result it is possible for the EPTS to nonstop drive because it induces an efficient drive of emergency vehicles. It is also relatively safe at the crossroad, it is expected that the EPTS is suitable for a telematics service which values efficiency above everything else.

A Study on the Energy Planning Technique of Smart Green City : Focus on Application Condition in Multi-functional Administrative City, Korea (에너지 측면의 스마트 그린시티 계획기법에 관한 연구 : 행복도시의 적용실태를 중심으로)

  • Oh, Deog-Seong;Park, So-Yeon;Lee, Seo-Jeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.9
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    • pp.6368-6375
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    • 2015
  • The goal of this research is to identify the energy planning techniques of Smart Green City and to establish the realized plan through the analysis of Multi-functional Administrative City. For the research, eighteen planning techniques were derived and categorized into three sectors and six basic direction through literature review and Brain-storming analysis considering correlation between three goals of Smart Green City and expectation of planning technique. And Multi-functional Administrative City was analyzed for the current status of application of planning techniques focus on two application aspects. In conclusion, 'Establishing Integrated Management Center for Urban Energy', 'Building Energy Management System', 'Building Automation System', 'Green Transport System', 'Intelligent Transport System', 'Introduction of Eco-friendly Transportation' planning techniques in reduction of building energy consumption sector and green-intelligent transport system sector were identified as important techniques for Smart Green City.

Design for Database using Historical Traffic Data (교통 이력자료를 위한 데이터베이스 설계)

  • Song, Soo-Kkyung;Yun, Hye-Jung;Cheong, Su-Jeong;Lee, Yoon-Kyung;NamGung, Sung;Oh, Cheol;Lee, Min-Soo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.83-85
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    • 2007
  • 현재 한국도로공사에서 운영하는 교통 관리 시스템은 일반 사용자에게 실시간 교통 정보를 제공하는 목적으로 만들어졌다. 그러므로 장기간의 교통자료를 모아서 얻은 교통 이력자료를 가지고 분석 및 연구를 수행하는데 제약이 많다. 본 논문에서는 교통 연구자에게 교통 이력자료를 가지고 분석 및 연구를 수행할 수 있는 데이터베이스를 위한 설계 방법을 제안한다.

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A Study on the Fault Signal Process of Hierarchical Distributed Structure for Highway Maintenance systems using neural Network (신경회로망을 이용한 분산계층 구조용 도로 유지관리설비의 고장정보처리에 관한 연구)

  • 류승기;문학룡;홍규장;최도혁;한태환;유정웅
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.13 no.1
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    • pp.69-76
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    • 1999
  • This paper proposed a design of intelligent supervisory control systems for maintenance of highway traffic information equiprrent and processing algorithm of equiprrent fault data. The fault data of highway traffic equipment are transmitted from rerrnte supervisory controller to central supervisory system by real time, the transmitted fault data are anaIyzed the characteristic using evaluation algorithm of fault data in central supervisory system. The evaluation algorithm includes a neural network and fault knowlOOge-base for processing the multi-generated fault data. For validating the evaluation algorithm of intelligent supervisory control systems, the rrethod of analysis used to the five pattern of binary signal by transmitted real time and the opTclting user-interface constructed in central supervisory system.

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Development of Sensor Data Flow Detection and MQTT Simulation System to apply formalized Pattern Analysis (정형화된 패턴분석을 적용한 센서 데이터흐름 감지 및 MQTT 시뮬레이션 시스템 개발)

  • JongWon Cho;Hyeri Park;Fayzullayev mirjalol;Ryumduck Oh
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.131-134
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    • 2024
  • 본 논문에서는 기존 철도 운영 및 관리시에 철도 주변환경으로 부터 발생하는 소음, 진동, 미세먼지 센서에서 다양한 실시간 스트림 데이터를 감지하고 정형화된된 데이터 패턴을 인식하고 분석할 수 있도록 데이터를 구성 및 저장하고 분석된 데이터를 표현할 수 있도록 시각화 지원을 위한 모니터링 시스템 플랫폼을 구현하였다. 데이터 전송을 위해 시리얼 통신 기법을 주로 적용하였으나, 센서와 디바이스의 증가로 인해 시리얼 통신의 한계가 나타났다. 따라서, 본 연구에서는 기존의 아두이노와 서버 간의 직접 통신 방식 대신 라즈베리파이를 도입하여 MQTT Broker(브로커)를 설치하고 통신을 진행하였다. 철도 데이터 모니터링 시스템 플랫폼은 NoSQL 데이터베이스인 MonGoDB와 데이터 시각화할 수 있는 Grafana를 이용하여 구축하였다.

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A Study of Classification Analysis about Traffic Conditions Using Factor Analysis and Cluster Analysis (요인분석 및 군집분석을 활용한 교통상황 유형 분류분석)

  • Su-hwan Jeong;Kyeung-hee Han;Jaehyun (Jason) So;Choul-ki Lee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.1
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    • pp.65-80
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    • 2023
  • In this study, a classification analysis was performed based on the type of traffic situation. The purpose was to derive the major variable factors that could represent the traffic situation. The TTI(Travel Time Index) was used as a criterion for determining traffic conditions, and analysis was performed using data generally detected by the Vehicle Detecting System(VDS). First, the major factors influencing the traffic situation were selected through factor analysis, and traffic conditions were clustered through a cluster analysis of the major factors. After that, variance analysis for each cluster was performed based on the TTI, and similar clusters were merged to categorize the type of traffic situation. The analysis derived, the maximum queue length and occupancy as major factors that could represent the traffic situation. Through this study, it is expected that efficient management of traffic congestion would be possible by just concentrating on the main variable factors that affect the traffic situation.

A GIS Based Technique for Analyzing Traffic Accidents (GIS를 이용한 교통사고의 분석 기법 개발)

  • Choi, Kee-Choo;Park, In-Chol;Oh, Sei-Chang
    • Journal of Korean Society for Geospatial Information Science
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    • v.6 no.1 s.11
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    • pp.35-51
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    • 1998
  • This article aims at presenting a new framework for traffic accident analysis by proposing a new methodology for the management of the accident data and by establishing the relationship between accidents and roadway characteristics within it For the first issue, authors introduced geographic information system (GIS) into the analysis framework of the accident data since it is believed that analysis based on GIS seems to provide more effective information in reducing accidents. Point-based, line-based, and polygon (grid)-based approaches were set of along with concrete examples. Especially, the location-based scores such as localization, specialization coefficients, and Tress score have been added to identify the intensity of certain accident types within study area or grids. The second issue addressed the equation formulation of accident and fatality numbers with roadway characteristics like number of intersections and road length in a grid with a sense that (1) accidents on roadways are the function of the roadway physical characteristics rather than the socio-economical secondary data (2) the equation can be applied to the any 'suggested' area, not just region or nation, and (3) the accident forecasting model should emphasize the accident location itself more than any other factors. Some equations based on those assumption have been derived along with some future research agenda.

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