• Title/Summary/Keyword: traffic system

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Design and Implementation of Advanced Traffic Monitoring System based on Integration of Data Stream Management System and Spatial DBMS

  • Xia, Ying;Gan, Hongmei;Kim, Gyoung-Bae
    • Journal of Korea Spatial Information System Society
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    • v.11 no.2
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    • pp.162-169
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    • 2009
  • The real-time traffic data is generated continuous and unbounded stream data type while intelligent transport system (ITS) needs to provide various and high quality services by combining with spatial information. Traditional database techniques in ITS has shortage for processing dynamic real-time stream data and static spatial data simultaneously. In this paper, we design and implement an advanced traffic monitoring system (ATMS) with the integration of existed data stream management system (DSMS) and spatial DBMS using IntraMap. Besides, the developed ATMS can deal with the stream data of DSMS, the trajectory data of relational DBMS, and the spatial data of SDBMS concurrently. The implemented ATMS supports historical and one time query, continuous query and combined query. Application programmer can develop various intelligent services such as moving trajectory tracking, k-nearest neighbor (KNN) query and dynamic intelligent navigation by using components of the ATMS.

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A Study on Developing Traffic Data Converting Algorithm for FM DARC (FM DARC용 교통정보 변환알고리즘 개발)

  • Lee, Bong-Gyu
    • Journal of Korea Spatial Information System Society
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    • v.2 no.2 s.4
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    • pp.39-48
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    • 2000
  • The purpose of this study is to develop a converting algorithm for providing real-time traffic information through the FM DARC(DAta Radio Channel). The converting algorithm based on the GIS node-link system enables raw traffic data to be a standard traffic information. The standard traffic information in data quality, quantity and format is an essential to construct the FM DARC traffic information system effectively. We have developed the algorithm and applied it to the FM DARC system. After introducing FM DARC briefly, this paper presents GIS DB, the converting algorithm and the client/server FM DARC system.

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A Proposal on the Navigation Supporting System for improving the Marine Traffic Safety

  • Lee, Hyong-Ki;Jung, Chang-Hyun;Kong, Gil-Young;Park, Young-Soo
    • Journal of Navigation and Port Research
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    • v.33 no.7
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    • pp.463-467
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    • 2009
  • In near future, more congested and dangerous marine traffic environment due to the rapid marine traffics increase and ship handling difficulty by enlargement of ship size is predicted. In this paper, an navigation supporting system proposal made to enhance the safe navigation by providing the collision avoidance informations to the navigator via marine traffic environment assessment. Proposed navigation supporting system displays results of marine traffic environment assessment, degree of the dangers and gives reason of danger which is enhance situational awareness of navigator. For this purpose, results of marine traffic environment assessment which is obtained via real time assessment sent to the designated server and through the connection with navigation supporting system navigator being enable to see all those informations on the computer screen Navigator would utilize those information to make a decision in the difficult waterways and thus safe navigation could be enhanced.

A Study on Algorithm for Travel Time Estimation using Restricted GPS Data (제한된 GPS정보를 활용한 통행 시간 추정 알고리즘에 관한 연구)

  • Yoo, Nam-Hyun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.12
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    • pp.1373-1380
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    • 2014
  • In order to calculate accurate traffic and traffic speed, qualified and sufficient GPS data should be provided. However, it is difficult to provide accurate traffic information using restricted GPS data from probe vehicles because of communication costs. This paper developed a algorithm that recovers links omitted by restricted GPS data with topology information, and calculate traffic speed with original links and recovered links. T traffic information service of city with a new algorithm can provide more accurate traffic and traffic speed than the original system.

Traffic Light Detection Method in Image Using Geometric Analysis Between Traffic Light and Vision Sensor (교통 신호등과 비전 센서의 위치 관계 분석을 통한 이미지에서 교통 신호등 검출 방법)

  • Choi, Changhwan;Yoo, Kook-Yeol;Park, Yongwan
    • IEMEK Journal of Embedded Systems and Applications
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    • v.10 no.2
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    • pp.101-108
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    • 2015
  • In this paper, a robust traffic light detection method is proposed by using vision sensor and DGPS(Difference Global Positioning System). The conventional vision-based detection methods are very sensitive to illumination change, for instance, low visibility at night time or highly reflection by bright light. To solve these limitations in visual sensor, DGPS is incorporated to determine the location and shape of traffic lights which are available from traffic light database. Furthermore the geometric relationship between traffic light and vision sensor is used to locate the traffic light in the image by using DGPS information. The empirical results show that the proposed method improves by 51% in detection rate for night time with marginal improvement in daytime environment.

A Study on the Verification of Traffic Flow and Traffic Accident Cognitive Function for Road Traffic Situation Cognitive System

  • Am-suk, Oh
    • Journal of information and communication convergence engineering
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    • v.20 no.4
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    • pp.273-279
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    • 2022
  • Owing to the need to establish a cooperative-intelligent transport system (C-ITS) environment in the transportation sector locally and abroad, various research and development efforts such as high-tech road infrastructure, connection technology between road components, and traffic information systems are currently underway. However, the current central control center-oriented information collection and provision service structure and the insufficient road infrastructure limit the realization of the C-ITS, which requires a diversity of traffic information, real-time data, advanced traffic safety management, and transportation convenience services. In this study, a network construction method based on the existing received signal strength indicator (RSSI) selected as a comparison target, and the experimental target and the proposed intelligent edge network compared and analyzed. The result of the analysis showed that the data transmission rate in the intelligent edge network was 97.48%, the data transmission time was 215 ms, and the recovery time of network failure was 49,983 ms.

Prediction Table for Marine Traffic for Vessel Traffic Service Based on Cognitive Work Analysis

  • Kim, Joo-Sung;Jeong, Jung Sik;Park, Gyei-Kark
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.13 no.4
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    • pp.315-323
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    • 2013
  • Vessel Traffic Service (VTS) is being used at ports and in coastal areas of the world for preventing accidents and improving efficiency of the vessels at sea on the basis of "IMO RESOLUTION A.857 (20) on Guidelines for Vessel Traffic Services". Currently, VTS plays an important role in the prevention of maritime accidents, as ships are required to participate in the system. Ships are diversified and traffic situations in ports and coastal areas have become more complicated than before. The role of VTS operator (VTSO) has been enlarged because of these reasons, and VTSO is required to be clearly aware of maritime situations and take decisions in emergency situations. In this paper, we propose a prediction table to improve the work of VTSO through the Cognitive Work Analysis (CWA), which analyzes the VTS work very systematically. The required data were collected through interviews and observations of 14 VTSOs. The prediction tool supports decision-making in terms of a proactive measure for the prevention of maritime accidents.

Cognitive Model-based Evaluation of Traffic Simulation Model (교통 시뮬레이션 모텔의 인지공학적 평가에 관한 연구)

  • 강명호;차우창
    • Proceedings of the Korea Society for Simulation Conference
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    • 2002.05a
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    • pp.163-168
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    • 2002
  • The road sign in dynamic traffic system is an important element which affects on human cognitive performance on driving. Web-based vision system simulator was developed to examine the cognition time of the road sign in dynamic environment. This experiment was designed in within-subject design with two factors; vehicle speed and the amount of information of the traffic sign. It measured the cognition time of the road sign through two evaluation methods; the subjective test with vision system simulator and computational cognitive model. In these two evaluations of human cognitive performance under the dynamic traffic environment, it demonstrated that subject's cognition time was affected by both the amount of information of traffic sign and driving speed.

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The Criteria, Procedure, and Classification of Traffic-Sensitive and Non-Traffic-Sensitive Components: A Case of CDMA Mobile System

  • Kim, Moon-Soo
    • ETRI Journal
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    • v.28 no.6
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    • pp.777-786
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    • 2006
  • Since the introduction of competition in the telecommunication market due to the growth of the interconnection between heterogeneous networks, particularly fixed and mobile networks, the interconnection charge based on traffic-sensitive (TS) and non-traffic-sensitive (NTS) costs has become more important. Although there have been many studies of the public switched telephone network (PSTN), previous studies of TS and NTS costs in mobile networks are very few. In this paper, as a pilot study, we propose three criteria and a procedure for the classification of TS and NTS costs based on mobile systems. The three criteria are the following: function type, investment requirement, and main exhaust driver. Moreover, for a CDMA mobile system, strongly TS, strongly NTS, and mixed components are classified by the proposed criteria and procedure. The proposed criteria, procedure, and classification can provide a systematic and useful guideline to decide the scope of mobile facilities and to determine the terminating cost on mobile networks from fixed networks.

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An Implementation of Traffic Accident Detection System at Intersection based on Image and Sound (영상과 음향 기반의 교차로내 교통사고 검지시스템의 구현)

  • 김영욱;권대길;박기현;이경복;한민홍;이형석
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.6
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    • pp.501-509
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    • 2004
  • The frequency of car accidents is very high at the intersection. Because of the state of a traffic signal, quarrels happen after accidents. At night many cars run away after causing an accident. In this case, accident analyses have been conducted by investigating evidences such as eyewitness accounts, tire tracks, fragments of the car or collision traces of the car. But these evidences that don't have enough objectivity cause an error in judgment. In the paper, when traffic accidents happen, the traffic accident detection system that stands on the basis of images and sounds detects traffic accidents to acquire abundant evidences. And, this system transmits 10 seconds images to the traffic center through the wired net and stores images to the Smart Media Card. This can be applied to various ways such as accident management, accident DB construction, urgent rescue after awaring the accident, accident detection in tunnel and in inclement weather.