• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.981-983
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• 2013

Damage of the road flooding has recently increased because of torrential rains. However, its prevention is in poor situation. In this study, we propose system expressing an information of flood risk for announcing to drivers to prevent damage of flooding or traffic jams. Our system implements on GUI enviroment that users can easily know the danger of road flooding using C# Language and ArcObjects API. If users use this system, they can know how dangerous of flooding.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.4
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• pp.765-773
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• 2009

Currently Telematics traffic information services have been various because we can collect real-time traffic information through Intelligent Transport System. In this paper, we proposed and implemented a short-term traffic information prediction model for giving to guarantee the traffic information with high quality in the near future. A Short-term prediction model is for forecasting traffic flows of each segment in the near future. Our prediction model gives an average speed on the each segment from 5 minutes later to 60 minutes later. We designed a Bayesian network for each segment with some casual nodes which makes an impact to the road situation in the future and found out its joint probability density function on the supposition of GMM(Gaussian Mixture Model) using EM(Expectation Maximization) algorithm with training real-time traffic data. To validate the precision of our prediction model we had conducted various experiments with real-time traffic data and computed RMSE(Root Mean Square Error) between a real speed and its prediction speed. As the result, our model gave 4.5, 4.8, 5.2 as an average value of RMSE about 10, 30, 60 minutes later, respectively.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.117-120
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• 2021

지능형 교통 시스템의 주요 인프라 중 하나인 VANET 은 차량과 인프라 간의 통신을 통해 교통을 예측함으로써 도로 상에서의 안전을 보장한다. VANET 은 모든 노드가 네트워크에 가입할 수 있는 개방형 네트워크이기 때문에 개인 정보 보호가 주된 관심사이다. 분산형 신뢰 관리 시스템은 차량 네트워크에서 수신된 메시지가 신뢰할 수 있는 지에 대한 여부를 결정함으로써, 악의적인 공격자로부터 차량을 지킬 수 있다. 분산형 k-익명성 체계와 블록체인을 결합한 신뢰 관리 시스템은 주변 차량들과 협력하여 익명의 은폐 영역을 구축한다. 본 논문에서는 블록체인을 적용한 분산형 신뢰 관리 시스템을 통해 차량의 위치 정보를 보호하는 최근 연구들을 살펴본 뒤에 향후 발전 방향에 대해 논하도록 하겠다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.641-644
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• 2003

텔레매틱스 정보통신 기술은 위성, 무선 정보통신 네트워크와 차량, 도로 네트워크 상에서 휴먼이라는 네트워크간의 새로운 패러다임 관계를 만들었다. 무선음성 데이터 통신과 인공위성을 이용한 위치정보시스템을 기반으로 자동차를 이용해 정보를 주고받을 수 있도록 하는 기술이다. 즉, 위치측정시스템과 무선통신망을 이용해 운전자와 탑승자에게 교통정보, 응급상황에 대한 대처, 원격차량진단, 인터넷 이용 각종 모바일 서비스를 제공할 수 있는 단말기와 운영체제를 말한다. 또한, 디지털 기술의 발전으로 정보기기, 컴퓨터, 가전기기 및 통신기기간의 기술융합이 활성화되면서 이와 관련된 네트워크, 단말기, 소프트웨어 응용 및 서비스 등의 분야에서도 연관 효과가 발생한다. 특히, 고속화와 모바일 환경의 급속한 확대로 운전자는 이동 중에 차량 내에서 모든 업무를 처리할 수 있는 이동 사무실 이라는 새로운 개념의 차량 정보화를 요구할 것이다. 따라서 본 논문에서는 텔레매틱스의 개요, 단말 플렛폼 표준 기술, 다양한 서비스 및 기술동향에 대한 전반적인 내용을 기술함으로써 향후 핵심기술을 도출하고 사업화에 대처하고자 한다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.1
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• pp.100-108
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• 2016

In this paper, We propose a method which prevents severe traffic jam by controlling traffic signal by itself based on image-processed information and fuzzy logic. The detailed idea of this method is first to let a closed monitoring camera gather the number of cars which show the flow of traffic the designated roads which are commonly considered to have traffic. After executing the image processing method on each image gathered from the monitoring camera, this system determines the changing timing of traffic signal based on fuzzy logic. Also, this image processing method shows good performance in real road environment because the setup background image which used in this system is designed to be updated in real time. All of good points mentioned above would lead driver and users to cost efficient and time efficient results by preventing the increase of the number of traffic on road in advance with the automatic traffic signal controlling algorithm based on the fuzzy logic.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.5
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• pp.1-13
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• 2011

Recently, a number of OBU(On Board Unit) have being spreaded since ETCS(Electronic Toll Collection System)using DSRC(Dedicated Short Range Communication) was installed in the tollgate of the whole country. Many R&D and commercialization related to ITS service using DSRC and OBU mentioned above are ongoing such as traffic information collection and provision and a signal control, and public traffic information and management and so on. Especially, there are many researches conducted(conducting) on traffic information collection and provision using communication between OBU and RSE. However, Standards for both DSRC application and traffic collection and provision are not established clearly yet. So we would like to suggest a method of traffic information collection and provision without changing of standard related to DSRC. This method is to put the traffic messages into the existing Action primitive for ETC, which is described on "Technical criterion IV of basic traffic information exchange" which was notified by Ministry of Land, Transport and Maritime Affairs. Proposed standard application method is applied both to RSE and OBE. It is the same system which ETCS used in highway, currently. We confirmed the efficiency and performance of the system through conducting a variety of driving test using 4 vehicles in real road condition. Result of the real road test shows the effectiveness and validity of this method with about 97% communication success rate and based on studying the cases of 3% communication failure, we can analyse the expected problems in traffic information collection and provision using this method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.645-648
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• 2003

This paper presents an active vision system for on-line traffic sign recognition. The system is composed of two cameras, one is equipped with a wide-angle lens and the other with a telephoto lends, and a PC with an image processing board. The system first detects candidates for traffic signs in the wide-angle image using color, intensity, and shape information. For each candidate, the telephoto-camera is directed to its predicted position to capture the candidate in a large size in the image. The recognition algorithm is designed by intensively using built in functions of an off-the-shelf mage processing board to realize both easy implementation and fast recognition. The results of on-road experiments show the feasibility of the system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.2
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• pp.471-476
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• 2004

This paper presents an active vision system for on-line traffic sign recognition. The system is composed of two cameras, one is equipped with a wide-angle lens and the other with a telephoto lends, and a PC with an image processing board. The system first detects candidates for traffic signs in the wide-angle image using color, intensity, and shape information. For each candidate, the telephoto-camera is directed to its predicted position to capture the candidate in a large size in the image. The recognition algorithm is designed by intensively using built in functions of an off-the-shelf image processing board to realize both easy implementation and fast recognition. The results of on-road experiments show the feasibility of the system.

• ICROS
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• v.2 no.2
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• pp.35-40
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• 1996

이 글에서는 자동차 Body 전자제어 시스템 개요 및 개발동향에 대하여 살펴보았다. 향후 Body 전자제어 분야에서는 사고예방을 위한 첨단 안전 시스템 개발, 정보 및 통신시스템을 이용한 Navigation 시스템 개발, 차량 LAN구축, ECU(Electronic Control Unit) 통합기술 개발을 위한 노력이 가속화될 것으로 전망된다. 이러한 시스템의 개발을 위해서는 자동차 부문과 관련 전자 부문의 긴밀한 공동 연구체제가 확립되어야 함과 동시에 통신기능을 갖춘 지능형 도로 시스템 구축, 교통전용 방송국 운용 등 정부차원에서의 Infra-structure 건설이 시급한 상황이다. 이를 위하여 정부 주관하에 자동차 각사, 유관업체 및 연구기관의 참여로 전국 도로에 대한 Digital Map 개발을 위한 G-7 Project 등의 다양한 계획이 진행중이거나 추진 예정으로 있는 바 성공적으로 수행될 경우 2005년을 전후로 하여 안전성 및 편의성 측면에서 완벽한 시스템을 구축할 수 있을 것으로 사료된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.465-468
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• 2022

The incidence of traffic accidents is increasing every year, and Korea is among the top OECD countries. In order to improve this, various road traffic laws are being implemented, and various traffic control methods using equipment such as unmanned speed cameras and traffic control cameras are being applied. However, as drivers avoid crackdowns by detecting the location of traffic control cameras in advance through navigation, a mobile crackdown system that can be cracked down is needed, and research is needed to increase the recognition rate of vehicle license plates on the side of the road for accurate crackdown. This paper proposes a method to improve the vehicle number recognition rate on the road side by applying a gradient correction algorithm using image processing. In addition, custom data learning was conducted using a CNN-based YOLO algorithm to improve character recognition accuracy. It is expected that the algorithm can be used for mobile traffic control cameras without restrictions on the installation location.