• Information and Communications Magazine
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• v.24 no.9
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• pp.86-95
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• 2007

사무실과 가정의 컴퓨터, 대중화된 휴대폰 사용 그리고 인터넷으로 특징지어지는 정보통신 기술덕택에 현대인은 어느 정도 시간과 공간의 제약을 극복하고 있다. 그러나, 아직도 현대인은 예전에 비해 가까워진 지구촌을 여러 가지 이동체를 타고 이동을 하여야한다. 특히 현대인에게 있어서 자동차는 가정과 직장을 이어주고 업무 목적지와 휴식을 위한 휴양지를 찾아가기 위한 실질적인 이동 수단으로서 가정과 직장에 이은 또 하나의 정보통신기술이 필요한 중요한 영역이다. 따라서 미래형 자동차는 편의 주행, 쾌적 주행을 제공하고 그리고 안전 주행이 보장되는 지능형 자동차의 수요가 예견되고 있으며 이를 구현하기위해 첨단 정보통신, 전자, 제어기술이 요구되고 있다. [1][5][6] 이상과 같은 지능형 자동차 관련 응용 분야는 위 그림과 같이 자동차 여러 부위에 장착되는 첨단 전장품들에 의해서 구현이 된다. 그러나, 기존의 자동차와 달리 미래형 지능형 자동차에서는 많은 전장품들이 장착됨에따라 소요되는 전원의 용량이 증가하게되어 기존 12V에서 42V 시스템으로 바뀔 예정이다. 또한 각종 센서로부터 정보신호를 받아서 정보처리를 하고 Actuator를 제어하기 위해서 많은 전장품들간에 연결되는 신호선들의 배선이 복잡해짐에따라 생산부서에서의 공정비용이 증가하게된다. 또한 향후 석유 에너지의 고갈에 따른 전기 자동차로의 전환이 예상되는데 위에서 언급된 많은 전자장치들간 신호를 주고 받기위해 차량내 여러부위로 퍼져있는 배선들이 차지하는 무게가 상당하므로 차체의 무게를 가볍게 해야하는 차세대 전기 자동차의 성능 향상을 위해서 효율적인 In Vehicular Network 기술이 요구된다. 또한 향후 자동차에 장착된 많은 전자장치들의 고장 진단 및 내장된 SW를 효율적으로 갱신하기 위해서는 여러 전자장치들이 하나의 버스로 연결되는 In Vehicle network이 필수적이다.

• International Journal of Highway Engineering
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• v.11 no.3
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• pp.129-139
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• 2009

The transportation network is a critical infrastructure in the event of natural and human caused disasters such as rainfall, snowfall, and terror and so on. Particularly, the transportation network in an urban area where a large number of population live is subject to be negatively affected from such events. Therefore, efficient traffic operation plans are required to assist rapid evacuation and effective detour of vehicles on the network as soon as possible. Recently, ubiquitous communication and sensor network technology is very useful to improve data collection and connection related emergency information. In this study, we develop a specific algorithm to provide evacuation route and detour information only for vehicles under emergency situations. Our algorithm is based on shortest path search technique and dynamic traffic assignment. We perform the case study to evaluate model performance applying hypothetical scenarios involved terror. Results show that the model successfully describe effective path for each vehicle under emergency situation.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.931-934
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• 2016

본 논문에서는 횡단보도의 보행자와 차량 간에 효율적인 도로 사용을 유지하면서 횡단보도 사고의 많은 부분을 차지하는 야간 횡단보도 보행자 사고를 센서, 카메라, 투광기 및 네트워크를 활용하여 사전예방하고 사고 발생 시 이를 적극적으로 추적하고 후속 조치를 취할 수 있는 시스템을 제안한다. 제안하는 시스템은 보행자가 횡단보도에 진입하였을 때 보행자에게 조명을 비추어 보다 먼 거리에서 운전자가 용이하게 식별을 할 수 있으며, 횡단보도 내 사고 발생 시 관제 센터에서 현장 정보를 수신 받아 상황에 맞춰 대응할 수 있는 환경을 제공한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.582-585
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• 2018

As traffic volume increases and road networks become more complicated, identifying for accurate traffic flow and driving smooth traffic flow are a concern of many countries. There are various analytical techniques and studies which desire to study about effective traffic flow. However, the necessary activity is finding the traffic flow pattern through data visualization including location information. In this paper aim to study a real-world urban traffic trajectory and visualize a pattern of traffic flow with a simulation tool. Our experiment is installing the sensor module in 40 taxis and our dataset is generated along 24 hours and unscheduled routes. After pre-processing data, we improved an open source traffic visualize tools to suitable for our experiment. Then we simulate our vehicle trajectory data with a dots animation over a period of time, which allows clearly view a traffic flow simulation and a understand the direction of movement of the vehicle or route pattern. In addition we further propose some novel timelines to show spatial-temporal features to improve an urban environment due to the traffic flow.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.11
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• pp.2581-2585
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• 2010

In the field of network sense for the Ubiquitous environment, the technology of RFID is a significant part. Due to the real time processing of information and the property of network, RFID has been used in service field such as distribution, administrative control of physical distribution, remote measuring device, and security. instead of currently used bar-code. The management system of port facilities using the current RFID technology has the effects of reducing working hours and improvement in data processing, but it is not proper for human resource allocation since it is dominantly worked for physical resources. In this paper, we designed and implemented personnel control system using RFID of 2.4GHz in port facilities which presents a monitoring system for safety operation and increase of efficiency using RFID in order to overcome the limitations and problems of current port operation management techniques.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.520-523
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• 2010

In the field of network sense for the Ubiquitous environment, the technology of RFID is a significant part. Due to the real time processing of information and the property of network, RFID has been used in service field such as distribution, administrative control of physical distribution, remote measuring device, and security, instead of currently used bar-code. The management system of port facilities using the current RFID technology has the effects of reducing working hours and improvement in data processing, but it is not proper for human resource allocation since it is dominantly worked for physical resources. In this paper, we designed and implemented personnel control system using RFID of 2.4GHz in port facilities which presents a monitoring system for safety operation and increase of efficiency using RFID in order to overcome the limitations and problems of current port operation management techniques.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.1
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• pp.55-69
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• 2017

Recently, the IoT (Internet of Things) environment is being developed rapidly through network which is linked to intellectual objects. Through the IoT, it is possible for human to intercommunicate with objects and objects to objects. Also, the IoT provides artificial intelligent service mixed with knowledge of situational awareness. One of the industries based on the IoT is a car industry. Nowadays, a self-driving vehicle which is not only fuel-efficient, smooth for traffic, but also puts top priority on eventual safety for humans became the most important conversation topic. Since several years ago, a research on the recognition of the surrounding environment for self-driving vehicles using sensors, lidar, camera, and radar techniques has been progressed actively. Currently, based on the WAVE (Wireless Access in Vehicular Environment), the research is being boosted by forming networking between vehicles, vehicle and infrastructures. In this paper, a research on the recognition of a traffic signs on highway was processed as a part of the awareness of the surrounding environment for self-driving vehicles. Through the traffic signs which have features of fixed standard and installation location, we provided a learning theory and a corresponding results of experiment about the way that a vehicle is aware of traffic signs and additional informations on it.