• Proceedings of the KOR-KST Conference
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• 1998.10b
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• pp.150-150
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• 1998

본 연구는 최근에 대두되는 첨단 교통체계(Intelligent Transportation Systems : ITS)중 첨단교통 관리체계(Advanced Traffic Management Systems : ATMS)에서 자동단속체계(Automatic Traffic Enforcement Systems : ATES)에 사용되는 자동차량번호판인식시스템의 핵심기술인 자동차량 번호판 추출에 관한 연구이다. 일반적으로 번호판익식시스템(License Plate Recogition System : LPRS)가 번호판을 인식하는데 있어서 번호판 추출과 문자인식, 크게 2개의 Process로 구분되어 수행된다. 본 연구에서는 도로상에 설치된 영상 카메라에서 얻은 차량의 영상을 바탕으로 차량의 번호판을 추출하는 새로운 영상처리기법을 제시하고 있다. 본 연구에서 제시한 영상처리기법은 메쉬와핑으로 차량번호판영역의 특징을 이용하여 추출해내는 방법이다. 메쉬란 직교하는 선들로 이루어진 그물 모양의 제어선을 말하는데 이 제어선은 가로와 세로로 한번씩 이미지를 왜곡하여 최종 이미지를 만들어낸다. 이 메쉬와핑기법은 정교하면서도 빠른 속도로 이미지를 처리할 수 있기 때문에 실시간 처리하는데 사용할 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.12
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• pp.4489-4501
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• 2014

We propose a novel lane detection method based on classification in image sequences. Both structural and statistical features of the extracted bright shape are applied to the neural network for finding correct lane marks. The features used in this paper are shown to have strong discriminating power to locate correct traffic lanes. The traffic lanes detected in the current frame is also used to estimate the traffic lane if the lane detection fails in the next frame. The proposed method is fast enough to apply for real-time systems; the average processing time is less than 2msec. Also the scheme of the local illumination compensation allows robust lane detection at nighttime. Therefore, this method can be widely used in intelligence transportation systems such as driver assistance, lane change assistance, lane departure warning and autonomous vehicles.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.260-269
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• 2009

A station is the place for the passenger who load the baggage or for bus, taxi, train to stop regularly. For example, bus stop which is installed on many areas for bus as a public transportation provides some space to the passenger who waits for getting on the bus. The bus stop built up recently carries on many kinds of function to make the passenger convenient different from the conventional simple bus stop. Smart station for Bimodal Tram combined with ITS(Intelligent Transportation System) technology has the advantages of both new and conventional stations. This paper has investigated the function and role of newly developed smart station which is able to be adaptive to the rapid variation of road station.

• Journal of the Korea Society for Simulation
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• v.9 no.2
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• pp.103-118
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• 2000

ITS(Intelligent Transportation System) is an advanced system which can effectively handle the current transportation problems. DSRC(Dedicated Short Range Communication) is considered as a promising technology since it has the capability of two-way communication and can serves to implement various ITS services. In this paper, we study DSRC based ITS telecommunication traffic analysis and suggest an architecture and network design of telecommunication network for DSRC services. We also perform a simulation study to validate the proposed network architecture and design for Metropolitan Seoul Area with various network alternatives. In this simulation, we use actual traffic data and road characteristics from Seoul area and use our DSRC service configuration.

• Journal of the Korea Safety Management & Science
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• v.10 no.1
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• pp.145-153
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• 2008

The vehicle routing problem determines each vehicle routes to find the transportation costs, subject to meeting the customer demands of all delivery points in geography. Vehicle routing problem is known to be NP-hard, and it needs a lot of computing time to get the optimal solution, so that heuristics are more frequently developed than optimal algorithms. This study aims to develop a heuristic method which combines guided local search with a tabu search in order to minimize the transportation costs for the vehicle routing assignment and uses ILOG programming library to solve. The computational tests were performed using the benchmark problems. And computational experiments on these instances show that the proposed heuristic yields better results than the simple tabu search does.

• Journal of the Korea Safety Management & Science
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• v.8 no.5
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• pp.151-166
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• 2006

To solve the traffic problems of small cities like Chung Ju City, electronic communications equipment and the introduction of advanced technologies are being used or promoted. Other local areas with developed systems in place are being investigated for applicability. Systems like these will be introduced. This system will embody an organized, efficient transportation and safety system within this study At the moment, to solve the problem of reoccurring traffic in small towns in our country, we must develop an ITS service. We are now in the process of selecting and establishing the most adaptable ITS service to a small city For this purpose, we have studied existing records; taken a poll of the citizens of Chung Ju; examined present traffic conditions, examined road capacities; and reviewed available means of transportation. To accomplish the purpose of a thesis like this, we will research and analyze developed nations' and domestic cities' existing systems, construction and operation. We are in the process of building an ITS System which is the most adaptable to a small city like Chung Ju.

• Journal of the Korea Safety Management & Science
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• v.12 no.3
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• pp.163-168
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• 2010

Recently, there are many problems of service qualities such as regular-rapid-safe -comfortable transport, that was traditionally advantages in urban railway transportations. These problems cause train delays that affects consecutive schedule, capacity, operation plans, and it is hard to prevent the propagation of delay and find the recovery solution. Because the urban transport demands is continuously increased and the railway service is also expanded, the railway operation company makes efforts to improve operation performance and efficiency for passengers. In this paper, we analyse the issues and problems existing in the major operation line of high-density urban railways, and suggest the development direction of intelligent operation technology to improve the urban railway service by minimizing the occurrence and propagation of delay. And the result of numerical case study is also presented.

• Geomechanics and Engineering
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• v.18 no.4
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• pp.373-389
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• 2019

It is important to study the problem of durability for tunnel structures. As a main influence on the durability of tunnel structures, carbonation-induced corrosion is studied. For the complicated environment of tunnel structures, based on the data samples from real engineering examples, the intelligent method (genetic programming) is used to construct the service life prediction model of tunnel structures. Based on the model, the prediction of service life for tunnel structures in carbonation environments is studied. Using the data samples from some tunnel engineering examples in China under carbonation environment, the proposed method is verified. In addition, the performance of the proposed prediction model is compared with that of the artificial neural network method. Finally, the effect of two main controlling parameters, the population size and sample size, on the performance of the prediction model by genetic programming is analyzed in detail.

• Journal of the Korea Society of Computer and Information
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• v.24 no.5
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• pp.59-66
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• 2019

According to the KT telecommunication statistics, people stayed inside their houses on an average of 11.9 hours a day. As well as, according to NSC statistics in the united states, people regardless of age are injured for a variety of reasons in their houses. For purposes of this research, we have investigated an abnormal event detection algorithm to classify infrequently occurring behaviors as accidents, health emergencies, etc. in their daily lives. We propose a fusion method that combines three classification algorithms with vision pattern, audio pattern, and activity pattern to detect unusual user events. The vision pattern algorithm identifies people and objects based on video data collected through home CCTV. The audio and activity pattern algorithms classify user audio and activity behaviors using the data collected from built-in sensors on their smartphones in their houses. We evaluated the proposed individual pattern algorithm and fusion method based on multiple scenarios.

• Annual Conference of KIPS
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• 2008.05a
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• pp.557-560
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• 2008

본 논문에서는 유비쿼터스 지능형교통시스템(u-ITS: Ubiquitous Intelligent Transportation System)에서 발생하는 다량의 데이터를 실시간 저장하기 위해 메인 메모리 데이터베이스(MMDB: Main Memory Database)와 디스크 상주 데이터베이스(DRDB: Disk Resident Database)를 사용하는 시스템 구조와 RM(Rate Monotonic)를 기반으로 데이터의 발생 주기에 따라 MMDB와 DRDB에 실시간 저장하는 알고리즘을 제안한다.