• Communications of the Korean Institute of Information Scientists and Engineers
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• v.27 no.9
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• pp.10-17
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• 2009

• The Magazine of the IEIE
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• v.24 no.2
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• pp.71-80
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• 1997

• Review of KIISC
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• v.26 no.4
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• pp.36-40
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• 2016

오늘날 차량 교통 시스템은 지능형 교통 시스템(ITS, Information Transportation System) 으로 진화하고 있다. 특히 차량 간 통신 및 차량과 인프라 간 통신을 활용하여 차량 주행의 안전성을 높이고 교통 체계의 운영 및 관리를 과학화하고자 하는 연구가 활발히 진행 중이며, 특히 운전자의 안전을 확보하기 위한 보안 기술에 대한 연구 또한 활발히 진행되어야 한다. 본 고에서는 ITS 보안 기술에 대한 표준화가 활발히 진행 중인 ITU-T SG17 에서의 표준화 동향을 살펴 본다.

• Journal of Korean Society of Transportation
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• v.21 no.3
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• pp.143-156
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• 2003

도시로의 집중현상에 따라 차량이 증가함으로 한정된 공간에서의 도시교통난이 계속 악화되고 있는 실정이다. 도로상의 불법 주ㆍ정차위반차량으로 인해 차량소통에 불편을 주고, 주거 및 교통환경을 저해하기 때문에 견인업무는 주차정책을 실현시키는 강력한 수단으로써 반드시 필요하지만, 우리나라에서 불법 주ㆍ정차 차량의 견인부분에 대한 연구 및 결과는 극히 미비한 실정이다. 이에 따라 본 연구에서는 우리나라 주요 도시를 대상으로 불법 주ㆍ정차 차량의 견인운행 실태 및 특징을 비교, 견인제도의 문제점을 분석하여 개선방안을 검토하고자 하였다. 이의 내용으로는 각 시에서 추진 및 계획중인 지능형 교통체계(ITS), 버스 정보시스템(BIS) 및 차량 위치 자동 표시기(AVM)를 연계시켜 공차거리를 줄이는 등의 첨단체계를 구축하여 견인차량에 대한 운영을 효율적으로 하여야 할 것이고, 요금의 구조도 서울을 제외한 기존의 3단계 톤급별 요금구조에서 장래 대형차의 견인을 감안한 4단계의 톤급별 요금구조로의 조정방안이 필요하다. 견인비용에 있어서도 대부분의 도시가 수년전의 여건을 근거로 산출한 결과를 기준으로 요금을 징수하고 있어 현실에 맞지 않는 요금체계를 적용시키고 있는 실정이다. 따라서, 견인비용부분에 대하여도 장래의 경제여건을 감안한 탄력적 요금체계를 설정하여 경영합리화를 유도함이 바람직하다. 부가하여, 견인원가에 대한 사례분석 결과는 부천시를 중심으로 하여 현실성 있는 견인비용을 제시코자 하였다.

• 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.

• Journal of Korean Society of Transportation
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• v.21 no.5
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• pp.49-58
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• 2003

The Transport policies in Korea have been planned and implemented as a part of a larger economy policy based on the achievement of economic growth. As a result, previous transport policies have been focused mostly on the supply of transport infrastructure. The average annual economic growth of six percent and a twelve percent growth in motor vehicles until the late 90s led to the acceleration of the imbalance between the supply and demand of infrastructure. As such, there is a need to establish an innovative transportation policy in order to increase national competitiveness and provide momentum for national growth in the Twenty one century. This research has developed strategies and policies based on interviews that were carried out with specialists in transport field. Moreover, some transport policies have been established for the year 2020 through the conducting of a survey. The survey was conducted by interviewing respondents on making the priority of transport policies. which was then analyzed using the Data Envelopment Analysis with ranked voting data. The results are as follows. The most urgent matter was considered to be the development of a inter-modal transport system, followed by an integrated service system for public transport, and the need to increase the competitiveness of the transport and logistics industries and to further transport safety. Meanwhile, the provision of transportation for disabled people as well as the elderly was considered to be less important in Korea than in welfare nations. This stems from the belief as further attention needs to be paid to the construction of a public transport system, the establishment of transportation networks construction in preparation for reunification and the North-East Asian era, as well as the privatization of the transport infrastructure.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.317-319
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• 2021

In Korea, an intelligent transportation system(ITS) is established to efficiently operate traffic congestion on roads and is being used for traffic information collection and speed control systems. Currently, designated and dedicated lanes are in place to ensure traffic circulation and traffic safety, and systematic and accurate illegal vehicle crackdown systems with artificial intelligence technology are needed. In this study, we propose a vehicle number recognition model that can improve the efficiency of the traffic of designated vehicles. By applying computer vision technology, we are going to identify three-lane and four-lane multi-lane roads in real time and detect vehicle numbers by car to suggest ways to crack down on vehicles that violate the designated lane system.

• 한국ITS학회:학술대회논문집
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• 2005.11a
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• pp.203-208
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• 2005

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.89-90
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• 2013

지능형 교통 시스템(ITS:Intelligent Transp-ortation Systems)은 점점 가속화되고 있는 정보화 사회에 알맞은 신속, 안전, 쾌적한 차세대 교통체계를 구현하는 데 목적을 두고 있다. 이의 일환으로 경기도 광주시 도시지역 광역교통정보 기반확충사업은 광주시 전역을 대상으로 '11년 6월 착수하였다. '12년 4월 SK C&C 컨소시엄이 성공적으로 완료하였다. 광주시는 본 사업을 통해 24시간 교통흐름 및 돌발 상황에 효과적인 대응 수단을 확보하였다. 그리고 실시간 교통정보를 제공함으로써 교통량 분산 등의 효과를 가져왔다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.4
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• pp.1-13
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• 2023

This study develops an optimal mobile-communication-based National Highway traffic volume estimation model using an ensemble-based machine learning algorithm. Based on information such as mobile communication data and VDS data, the LightGBM model was selected as the optimal model for estimating traffic volume. As a result of evaluating traffic volume estimation performance from 96 points where VDS was installed, MAPE was 8.49 (accuracy 91.51%). On the roads where VDS was not installed, traffic estimation accuracy was 92.6%.