• Title/Summary/Keyword: 실시간교통정보

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The Development of the Integration Model about the Real-time Traffic Information Service on the U-City (유시티의 실시간교통서비스 통합모델 개발)

  • Yang, Dong-suk;Lee, Sang-hun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.04a
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    • pp.1298-1301
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    • 2012
  • 국내 유시티 개발에 있어서는 다양한 교통정보서비스들을 계획하고 구축하고 있다. 그러나 표준화된 서비스 모델이 제시되어 있지 않아서 서비스 내용이 중복되거나 각 서비스간 연계에 있어서 효율적으로 이루어지지 않고 있다. 본 연구에서는 기존 유시티 구축사례들을 중심으로 실시간 교통서비스들을 조사 분석하여 효과적인 실시간교통서비스 통합모델을 제시하였다. 아울러 그에 따른 장비선정 및 구축 가이드라인을 제안하였다. 이에 따라 추후 유시티를 구축할 때 표준화된 서비스 모델에 따라 비용효과 및 연계의 효율성을 기대할 수 있다.

Design and Implementation of Social Network Real-Time Traffic Broadcast Platform (소셜네트워크 실시간교통 방송 플랫폼 설계 및 구현)

  • Han, Jun-Woo;Lee, Eun-Jin;Kim, Heung-Soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.337-339
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    • 2015
  • As much interest recently location based service, a study to analyze the movement patterns of the users from getting a lot of large amounts of data collected from a GPS installed in the smart device. Also it is recorded in the log file in the form of day-to-day personal computer, the development of a variety of a smart phone, a black box, and navigation. This data is collected by the user have been developed a variety of personalized services. In this paper, using the black box camera, such as the vehicle to form a social network platform that broadcasts real-time traffic utilization real-time video information.

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Evaluating Vehicle Emission Reduction (CO, VOC and NOx) Using Real-time Traffic Information (실시간교통정보 이용에 따른 차량의 CO, VOC, NOx 저감효과 평가)

  • Kim, Jun-Hyung;Um, Jung-Sup
    • Journal of Environmental Impact Assessment
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    • v.20 no.2
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    • pp.217-226
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    • 2011
  • This paper was inspired by the fact that Real-time Traffic Information Service could play a key role in reducing incomplete combustion time remarkably since it can provide traffic jam information in real-time basis. Emission characteristics of experimental engines were studied with variable travel distances and speed of car in terms of traffic information provided. 12 Km distance road of Susung district in Daegu is taken as an experimental area to examine this new approach. The emission was tested while the driving was done at 8 AM, 3 PM, 6 PM which represents various traffic conditions. The reduced emission has been measured for a travel distance running at different loads (conventional shortest route and Real-time Traffic Information) and various loads (CO, VOC and NOx) are all inventoried and calculated in terms of existing emission factors. The emission has been shown to reduce linearly with travel distance : carbon monoxide (20.56%), VOC (29.21%), NOx(8.86%).

Evaluating GHG Emissions Reduced by Real-time Traffic Information in Gasoline Vehicle (실시간교통정보 이용에 따른 가솔린차량의 온실가스 저감효과 평가)

  • Kim, Jun-Hyung;Um, Jung-Sup
    • Journal of Korean Society for Atmospheric Environment
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    • v.27 no.4
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    • pp.443-453
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    • 2011
  • Real-time Traffic Information Service could play a key role in reducing incomplete combustion time remarkably since it can provide traffic information in real-time basis. Emission characteristics of test engines were studied in terms of travel distance and speed. The present study focused on a north district in Daegu, 12 km. The driving for the emission test was done at 8AM, 3PM, 7PM which represents various traffic conditions. The reduced emissions of Greenhouse Gases (GHG) have been measured for a travel distance running at different loads (conventional shortest route and Real-time Traffic Information) and GHG ($CO_2$, $CH_4$, $N_2O$) are all inventoried and calculated in terms of existing emission factors. The emission of GHG has been shown to reduce linearly with travel distance: $CO_2$ (9.15%), $CH_4$ (18.43%), $N_2O$(18.62%).

A dynamic Shortest Path Finding with Forecasting Result of Traffic Flow (교통흐름 예측 결과틀 적용한 동적 최단 경로 탐색)

  • Cho, Mi-Gyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.5
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    • pp.988-995
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    • 2009
  • One of the most popular services of Telematics is a shortest path finding from a starting point to a destination. In this paper, a dynamic shortest path finding system with forecasting result of traffic flow in the future was developed and various experiments to verify the performance of our system using real-time traffic information has been conducted. Traffic forecasting has been done by a prediction system using Bayesian network. It searched a dynamic shortest path, a static shortest path and an accumulated shortest path for the same starting point and destination and calculated their travel time to compare with one of its real shortest path. From the experiment, over 75%, the travel time of dynamic shortest paths is the closest to one of their real shortest paths than one of static shortest paths and accumulated shortest paths. Therefore, it is proved that finding a dynamic shortest path by applying traffic flows in the future for intermediated intersections can give more accurate traffic information and improve the quality of services of Telematics than finding a static shortest path applying by traffic flows of the starting time for intermediated intersections.