• Title/Summary/Keyword: 교통 이벤트

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Road Speed Prediction Scheme Considering Traffic Incidents (교통 돌발 상황을 고려한 도로 속도 예측 기법)

  • Park, Songhee;Choi, Dojin;Bok, Kyoungsoo;Yoo, Jaesoo
    • The Journal of the Korea Contents Association
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    • v.20 no.4
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    • pp.25-37
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    • 2020
  • As social costs of traffic congestion increase, various studies are underway to predict road speed. In order to improve the accuracy of road speed prediction, unexpected traffic situations need to be considered. In this paper, we propose a road speed prediction scheme considering traffic incidents affecting road speed. We use not only the speed data of the target road but also the speed data of the connected roads to reflect the impact of the connected roads. We also analyze the amount of speed change to predict the traffic congestion caused by traffic incidents. We use the speed data of connected roads and target road with input data to predict road speed in the first place. To reduce the prediction error caused by breaking the regular road flow due to traffic incidents, we predict the final road speed by applying event weights. It is shown through various performance evaluations that the proposed method outperforms the existing methods.

A Study on the Prediction of Traffic Volume on Highway by the Reference Day of Archived Data (이력자료 참조일수에 따른 고속도로 교통량 예측에 관한 연구)

  • Lee, So-Yeon;Jung, So-Yeon
    • Journal of the Society of Disaster Information
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    • v.14 no.2
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    • pp.230-237
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    • 2018
  • Purpose: In Korea, traffic information is collected in real time as part of Intelligent Transportation System to enhance efficiency of road operation. However, traffic information based on real-time data is different from the traffic situation the driver will experience. Method: In this study, forecasts were made for future highway traffic by day and time period by adjusting the Archived data reference days to 3, 5 and 10 days based on existing traffic Archived data. Results: Fewer days of reference in the past showed smaller errors. The prediction of Monday based on five past histories showed greater errors than the 10 past histories, as the traffic flow on the sixth Monday of 2016 was somewhat different from the usual holiday. Conclution: This study shows that less of the reference days of the past history when estimating traffic volume, the more accurate the data of the traffic history of the event can be used on special days.

Methodology for Evaluating Collision Risks Using Vehicle Trajectory Data (개별차량 주행패턴 분석을 통한 교통사고 위험도 분석 기법)

  • Kim, Joon-Hyung;Song, Tai-Jin;Oh, Cheol;Sung, Nak-Moon
    • Journal of Korean Society of Transportation
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    • v.26 no.5
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    • pp.51-62
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    • 2008
  • An innovative feature of this study is to propose a methodology for evaluating safety performance in real time based on vehicle trajectory data extracted from video images. The essence of evaluating safety performance is to capture unsafe car-following and lane-changing events generated by individual vehicles traveling within video surveillance area. The proposed methodology derived three indices including real-time safety index(RSI) based on the concept of safe stopping distance, time-to-collision(TTC), and the collision energy based on the conservation of momentum. It is believed that outcomes would be greatly utilized in developing a new generation of video images processing(VIP) based traffic detection systems capable of producing safety performance measurements. Relevant technical challenges for such detection systems are also discussed.

Time Series Modeling Pipeline for Urban Behavioral Demand Prediction under Uncertainty (COVID-19 사례를 통한 도시 내 비정상적 수요 예측을 위한 시계열 모형 파이프라인 개발 연구)

  • Minsoo Jin;Dongwoo Lee;Youngrok Kim;Hyunsoo Lee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.2
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    • pp.80-92
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    • 2023
  • As cities are becoming densely populated, previously unexpected events such as crimes, accidents, and infectious diseases are bound to affect user demands. With a time-series prediction of demand using information with uncertainty, it is impossible to derive reliable results. In particular, the COVID-19 outbreak in early 2020 caused changes in abnormal travel patterns and made it difficult to predict demand for time series. A methodology that accurately predicts demand by detecting and reflecting these changes is, therefore, required. The current study suggests a time series modeling pipeline that automatically detects and predicts abnormal events caused by COVID-19. We expect its wide application in various situations where there is a change in demand due to irregular and abnormal events.

The propose of flight plan state management for next aviation control (차세대 항공관제를 위한 비행계획 상태 관리 방법론 제안)

  • Oh, Seung-hee;Han, Jongwook;Park, Hyodal
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.798-800
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    • 2009
  • 본 논문은 급증하는 항공 교통량을 처리하기 위해 국제민간항공기구(ICAO)를 중심으로 연구되고 있는 차세대 항공관제를 위한 시스템 중 비행자료처리시스템에서 효율적인 비행계획 상태 관리를 위한 방법론을 제안하고 있다. 본 논문에서 제안하는 비행계획 상태 관리는 입력되는 새로운 전문 및 관제사의 입력과 시간 타이머에 의한 이벤트를 구분하는 처리 구조이며, 두 가지를 병렬 처리하는 방식을 이용해서 정확하고 빠른 비행계획 상태 관리를 제공한다. 이는 향후 많은 항공 교통량을 처리하기 위한 차세대 항공관제 시스템에 적용되는 것을 그 목적으로 한다.

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EV charging station locations and a website to encourage carbon neutral activities (전기차 충전소 위치 및 탄소 중립 활동 장려 웹사이트)

  • Hyun-Sik Lee;Sung Jin Kim;Young Hyun Yoon;Jai Soon Baek
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.279-280
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    • 2023
  • 최근 지구온난화로 인해 온도가 점점 상승하면서 홍수, 가뭄, 해수면 상승 등 이상 기후가 나타나고 있다. 이러한 상황을 막기 위해 기업과 국가 더 나아가 전 세계적으로 탄소 중립 활동을 실천하고 있다, 본 논문에서는 탄소 중립 활동에 도움을 주고자 전기차 충전소의 위치와 현재 상태를 실시간으로 확인할 수 있는 웹사이트를 서비스한다. 또한 사용자의 걷기 활동을 통해 이벤트를 진행하여 탄소 중립 활동을 장려하며, 다양한 교통정보 등을 서비스한다,

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해양레저 전시이벤트의 평가속성이 방문객 만족도 및 재구매 행동에 미치는 영향

  • Ha, Hae-Dong;Gang, Sin-Beom;Jo, U-Jeong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2011.06a
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    • pp.89-90
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    • 2011
  • The purposes of this study were to analyze the effects of a marine leisure exhibition event(MLEE)'s appraisal attributes on visitors' satisfaction and repurchase behavior and thus provide fundamental information that facilitates developing effective marketing and operational strategies for a MLEE. In order to accomplish such purposes, this study employed a survey with a total of 300 visitors to a MLEE hosted by G Province. Questionnaires were developed on the basis of related studies and modified to reflect the study context. Then, such questionnaires were verified to be valid and reliable through content validity, exploratory factor analysis and internal consistency analysis. Valid 286 questionnaires were analyzed with correlation analysis and multiple regression analysis on significance level of .05. Following findings were derived from current study. First of all, the appraisal attributes of a MLEE had a significant effect on visitors' satisfaction and among them only the factor of event program had a unique relation with the levels of satisfaction. In addition, the appraisal attributes of the MLEE also had a significant effect on visitors' repurchase behavior and among them event program, transportation and employee factors had unique relations with the performance variable in order. In conclusion, all the research hypotheses that had been set up through previous studies were confirmed in this study.

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Analysis for Characteristics of Driver's Legibility Performance Using Portable Variable Message Sign (PVMS) (운전자 인적요인을 고려한 PVMS 메시지 판독특성 분석)

  • Song, Tai-Jin;Oh, Cheol;Kim, Tae-Hyung;Yeon, Ji-Yoon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.7 no.4
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    • pp.25-35
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    • 2008
  • Variable Message Sign(VMS) is one of the subsystem of Intelligent Transportation Systems (ITS), which is useful for providing real-time information on weather, traffic and highway conditions. However, there are various situations such as incidents/accidents, constructions, special events, etc., which would be occurred on segments, it is unable to control traffic with only the VMS. Thus, it is essential to use of PVMS(Portable Variable Message Signs), which can move to the location needed traffic control and provide more active traffic information than VMS. This study developed a legibility distance model for PVMS messages using in-vehicle Differential Global Positioning Data(DGPS). Traffic conditions, drivers' characteristics, weather conditions and characteristics of PVMS message were investigated for establishing the legibility model based on multiple linear regression analysis. The factors such as height of PVMS characters, spot speed, age, gender and day and night were identified as dominants affecting the variation of legibility distances. It is expected that the proposed model would play a significant role in designing PVMS messages for providing more effective real-time traffic information.

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Development of telecommunications System for Aged Welfare Policy (노인복지정책을 위한 정보통신시스템의 개발 방향)

  • 박민수;박계원
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.3 no.4
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    • pp.715-722
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    • 1999
  • This paper was studied on developmental direction of Telecommunications system for aged welfare policy. The results of this study is as follow: An economic needs must development of home shopping system, home banking system and telecommuting system. A medical needs must development of medical support system, medical information system and telemedical support system. A house needs must development of home automatic system, internet system. A culture needs must development of event system, leisure information system. A traffic needs must development of automatic traffic geographical system, automatic operating system. An education needs must development of teleeducation system, knowledge studying support system.

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Low-cost privacy protection integrated monitoring system using interest emphasis method (관심강조 방법을 활용한 저비용 사생활보호 통합관제시스템)

  • Shin, Kwang-Seong;Shin, Seong-Yoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.2
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    • pp.234-239
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    • 2021
  • Recently, as the installation of a large number of high-performance CCTVs for crime prevention and traffic control has increased rapidly, the problem of increasing system requirements for response to privacy infringement factors and analysis of high-definition image information transmitted from multiple cameras has been actively emerging. Accordingly, there is a need for a method for responding to privacy infringement and a method for efficiently processing surveillance images input from multiple cameras. In this paper, in order to reduce the processing cost of the input image and improve the processing speed, an integrated image is generated by grouping images input from a plurality of cameras. After analyzing the pre-generated integrated video, it detects a preset privacy event or an event that highlights interest. Depending on whether or not an event is detected, you will perform an editing operation corresponding to the event.