• Journal of the Korea Society of Computer and Information
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• v.26 no.9
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• pp.133-141
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• 2021

The development and demand for the system that provides users with traffic information and efficient road use have continued. also, this system provides the basic technology of the Intelligent Transport System (ITS). The most used traffic information collection tools are Vehicle detectors (VDS) and short-range wireless communication (DSRC) on express way. In order to generate reliable traffic information, it is necessary to efficiently manage and utilize the collected data as well as high-quality traffic data collection and processing technology. In this study, traffic information collection·processing·provision systems were investigated, and analyze the current status and problems of traffic information collected through VDS. Based on this, we would like to present an improved collection algorithm that utilizes the Kalman filter for vehicle information measurement of VDS data. By using the algorithm of this study, it is possible to minimize the time delay of the estimated value as well as the noise removal that inevitably occurs during measurement.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.2
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• pp.36-54
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• 2017

The purpose of this paper is to develop a multi-sensor fusion-based traffic information acquisition system with robust to environmental changes. it combines the characteristics of each sensor and is more robust to the environmental changes than the video detector. Moreover, it is not affected by the time of day and night, and has less maintenance cost than the inductive-loop traffic detector. This is accomplished by synthesizing object tracking informations based on a radar, vehicle classification informations based on a video detector and reliable object detections of a infrared range finder. To prove the effectiveness of the proposed system, I conducted experiments for 6 hours over 5 days of the daytime and early evening on the pedestrian - accessible road. According to the experimental results, it has 88.7% classification accuracy and 95.5% vehicle detection rate. If the parameters of this system is optimized to adapt to the experimental environment changes, it is expected that it will contribute to the advancement of ITS.

• 한국HCI학회:학술대회논문집
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• 2008.02c
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• pp.150-151
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• 2008

With the proliferation of vehicles and advancement of Information Technology, the technology of Telematics, which provides valuable services to people by collecting and analyzing the information from drivers, vehicles and Telematics environments (e.g. traffic information, road condition, weather information, etc.), has been a hot research area in IT and automotive recently. As the information technology revolution brings more and more assistance for driver information processing becomes increasing important. Therefore, drivers' workload is very essential factor for safety driving in Telematics environment. For managing drivers' workload effectively, ETRI haven been developing vehicle and driver management system which can collect data from drivers and vehicle in realtime and analyze the data to manage drivers' and vehcles' status since 2007. This technology will apply to commercial vehicle telematics such as texi or truck management system in the future for increasing driving safety. In this presentation, I would like to explain what we had developed so far and discuss future direction.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.6
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• pp.13-22
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• 2009

Recently, DSRC technology is used in the various fields such as parking system, BIS, ETC, etc. This paper suggests a traffic information system using this DSRC technology. The traffic information processing based on point detection using existing vehicle detection equipment is the system in which a collection and a service are operated separately while the traffic information system based on the link detection using DSRC is able to collect and provide the traffic information through the communication between RSE and OBU. The speed of a traffic congestion is high on the process converted from a point passing speed to a link average speed because the vehicle detection equipment makes the link traffic information into the point information. When the condition of traffic is deteriorated, traffic speed of the vehicle detection equipment becomes higher than DSRC. Especially, in this system, deflection by data of the traffic speed of the traffic information system is much decreased, and the unexpected condition detection and traffic condition are provided promptly.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.6
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• pp.150-158
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• 2016

This paper is on a design of a new balise system which has a new functional part of a micro-power inductive wireless loop vehicle detector. The field test has processed and the data has analyzed for check the solar energy operable ability of the detect data interconnect sub-system which includes repeaters and field controllers. Instead of a railroad environment, 12 individual parking-lots are used for field test environment. As a result, in the condition of the designed system and the test environment, it is assumed that under 200 passing vehicles(train or tram) per day can be processed only with solar energy.

• Journal of Korean Society of Transportation
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• v.29 no.3
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• pp.41-48
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• 2011

In order to detect driver's state in a driver safety system, both overt and covert measures such as driving performance, visual attention, physiological arousal and traffic situation should be collected and interpreted in the driving context. In this paper, we suggest a vehicle monitoring system that provides multimodal information on a broad set of measures simultaneously collected from multiple domains including driver, vehicle and road environment using an elaborate timer equipped as a soft synchronization mechanism. Using a master timer that records key values from various modules with the same master time of short and precise interval, the monitoring system provides more accurate context awareness through synchronized data at any given time. This paper also discusses the data collected from nine young drivers performing a cognitive secondary task through this system while driving.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.1303-1305
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• 2007

현재 정보통신 기술의 발달에 상응하여 지능형 교통 시스템(ITS)은 네트워크 기반으로 실시간 교통 정보를 제공하기 위해 CCTV, GPS, VDS, 루프 검지기, 영상 검지기 등과 같은 다양한 방법으로 교통 정보 수집이 이루어지고 있다. 또한 정확한 정보 제공을 위해 정보의 수집 및 가공에 대한 많은 연구들이 진행되고 있다. 본 논문에서는 텔레매틱스 기반의 효율적인 교통정보 수집을 위해 RFID 태그 정보를 이용하여 교통정보를 수집하여 보다 정확한 실시간 차량 정보를 제공하는 교통정보 수집 시스템에 관한 연구를 기술하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.652-655
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• 2008

차량 및 운전자를 효율적으로 관리하면 운행에 따른 연료소모량을 감소할 수 있으며 유류비를 줄이고 배출가스를 감소시켜 친 경제 및 친 환경 주행을 할 수 있다. 그러나 차량 및 운전자를 효율적으로 관리하기 위한 구체적인 정보가 부족하다. 따라서 본 연구에서는 실 차량에 차량 및 운전자 관리 시스템 단말을 설치하고 실제 주행 중에 수집된 차량 정보를 분석하여 연료소모에 관련된 요소들을 분석하였고, 친 경제 및 친 환경을 지원하기 위한 구체적인 가이드라인을 제안한다.

• Proceedings of the KIEE Conference
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• 2001.04a
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• pp.410-412
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• 2001

철도차량의 차상에서 수집되는 데이터는 차량의 이력관리 및 고장원인분석 뿐만 아니라 운영처의 경영과 관련된 정보를 제공해 주고 있다. 그러나, 이러한 정보는 단편적인 정보로 존재해서는 정보의 기능을 최대한 발휘하지 못하고 있으며, 정보의 양이 대형화됨으로 인해 정보의 수집 방법에 어려움을 겪고 있다. 본 논문에서는 현재 차상정보수집방법 및 정보분석방법에 대해 살펴보고, 무선에 의한 차상정보수집방법 및 차상정보의 정보화 연계방안에 대하여 기술한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.11
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• pp.2677-2685
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• 2013

Car running data collected from the vehicle is a native image data and sensing data of it. Hence, it can be used as a set of objective data based on which events that took place outside the car can be analyzed and determined. In this paper, we designed and implemented a emergency situation detection system to sense, store, and analyze signals related to car movements, driver's various operation states, collision pulse, etc when a car collision accident occurs on the actual road by sensing and analyzing the car movements and driver's operation status. The suggested system provides information on the driver's reaction right before the collision, operation state of the vehicle, and physical movement. The collected and analyzed data on vehicle running can be utilized to clarify the cause of a collision accident and to handle it in a just manner. Besides, it can contribute to grasping and correcting wrong driving habits of the driver and to saving.