• Review of KIISC
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• v.29 no.1
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• pp.13-19
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• 2019

나날이 발전하고 있는 ICT 기술과 차량과의 융합은 차량을 대상으로 하는 사이버 위협과 공격을 더욱 증대시킨다. 그러나 차량 보안을 연구하는 산업계, 학계 연구 그룹들 또한 다양한 접근 방법을 통해 이러한 위협과 공격을 앞서 예방하고 탐지하기 위해 노력하고 있다. 2018 정보보호 R&D 데이터 챌린지에서는 차량주행 데이터기반 도난탐지 트랙을 마련하였다. 이는 운전자별 주행 데이터에 대한 분석을 통해 현재 주행 중인 운전자를 식별하는 챌린지로써 국내 및 해외에서 처음으로 진행된 트랙이다. 이번 2018 정보보호 R&D 데이터 챌린지 중 차량주행 데이터기반 도난탐지 트랙에 참가한 참가자들은 주행 데이터를 통계적 기반으로 분석하여 모델링 하였으며, 분석하는 과정에 있어 의미 있는 분류 결과를 도출해 내었다. 일반적으로, 한 가정이 보유하고 있는 차량이 가족들 이외 다른 이들에게는 잘 공유되지 않는다는 점을 고려한다면, 비록 소수의 운전 참가자이지만 5명을 대상으로 하는 본 실험이 의미가 있다고 본다. 이번 정보보호 R&D 데이터 챌린지를 통해, 운전자 주행 데이터가 도난 탐지를 위한 운전자 분류뿐만 아니라, 운전자에게 특화된 의료와 보험과 같은 맞춤형 서비스를 제공할 수 있는 가능성을 확인할 수 있었다.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.765-771
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• 2008

After the KTX operation Korail has been making great effort to reliability settlement through RCM. Also maintenance cycle and method optimization for normal speed rolling stock field are lively same as high-speed rolling stock. In this paper maintenance techniques for new model electric locomotive are introduced. To find the optimal maintenance method, locomotive inspection cycle for advanced country are examined and other electric locomotive inspection cycle are compared. As a result the present time inspection cycle is totally focusing on safety aspect so the economical efficiency is quite low. Through this research optimal maintenance technique will be accomplished in the end of year 2008.

• 한국ITS학회:학술대회논문집
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• v.2007 no.10
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• pp.100-104
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• 2007

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.4C
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• pp.276-282
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• 2005

These studies developed system as well as its algorithm which can measure traffic flow and vehicle speed on the highway as well as road by using industrial television(ITV) system. This algorithm used the real time processing of dynamic images. The processing algorithm of dynamic images is developed and proved its validity by frame grabber. Frame grabber can process the information of a small number of sample points only instead of the whole pixel of the images. In the techniques of this algorithm, we made approximate contour of vehicle by allocating sampling points in cross-direction of image, and recognized top of contour of vehicle. Applying these technique, we measured the number of passing vehicles of one lane as well as multilane. Speed of each vehicle is measured by computing the time difference between a pair of sample points on two sample Points lines.

• Journal of Advanced Navigation Technology
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• v.9 no.1
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• pp.10-18
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• 2005

These studies developed system as well as its algorithm which can measure traffic flow and vehicle speed on the highway as well as road by using industrial television(ITV) system. This algorithm used the real time processing of dynamic images. The processing algorithm of dynamic images is developed and proved its validity by frame grabber. Frame grabber can process the information of a small number of sample points only instead of the whole pixel of the images. In the techniques of this algorithm, we made approximate contour of vehicle by allocating sampling points in cross-direction of image, and recognized top of contour of vehicle. Applying these technique, we measured the number of passing vehicles of one lane as well as multilane. Speed of each vehicle is measured by computing the time difference between a pair of sample points on two sample points lines.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.6
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• pp.262-274
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• 2019

The purpose of this study is to estimate the minimum proportion of probe vehicles for obtaining expressway traffic information using VISSIM, a micro traffic simulation model, between Yongin IC and Yangji IC on Yeongdong Expressway. 7,200 scenarios were created for the experiment, and 40 scenarios were adopted using the Latin hypercube sampling method because it was difficult to perform all the scenarios through experiments. The reliability of the experiment was improved by adding a situation when the general situation and the accident situation exist. In the experiments, the average travel time of probe vehicles at different market penetration rates were compared with the average travel time of the entire vehicles. As a result, the minimum market penetration rate of probe vehicles for obtaining expressway traffic information was found to be 45%. In addition, it is estimated that 25% market penetration rate of probe vehicle can meet 70% of traffic situations in accident scenario.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.4
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• pp.52-61
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• 2015

PCE(Passenger Car Equivalents) is used to analysis of road capacity and LOS(Level of Service). In this study calculates PCE by number of lane and 12 vehicle type by MOLIT(Minister of Land, Infra Structure and Transport) using individual vehicle data. The results of the calculation, PCEs are increased when high vehicle classification level, many number of lanes and weekend. Heavy vehicle factors are smaller than KHCM on 4, 6 lane. Also, In this study estimates of PCE variation model by heavy vehicle percentage. Impact of Heavy vehicles on PCEs is the most sensitive on 2 lane. The results of the study, heavy vehicles low impact on PCE on multi-lane and business trips are a little in weekend.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.4
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• pp.87-94
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• 2013

This study estimated the changes in delays and speeds of vehicles in exclusive bus lane and road when the High Occupancy Vehicles(HOV) use the median bus lane. Synchro simulation tool was used to optimize the traffic signal time on the network and VISSIM was applied to simulate various scenarios. Here, drivers behavior parameters in VISSIM was optimized using Simultaneous Perturbation Stochastic Approximation(SPSA) algorithm in order to represent real traffic condition. Based on the simulation results, the delay in Doan daero was decreased when the volume of HOV in current condition runs on the median bus lane, whereas delay in Doan dongro was increased in all scenarios. The changes in bus speed was not sharply decreased for both study sites, even though the number of HOV increased to 10%. Thus, it could be allowed that the HOV use the median bus lane in Doan dongro and Doan daero. Future research tasks include studying about changes in delay when the HOV use the curb bus lane.

• International Journal of Highway Engineering
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• v.10 no.3
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• pp.87-96
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• 2008

Wandering, variation of wheel tracks, has not been considered as an important factor for pavement designs and maintenance due to measuring difficulties. In order to investigate vehicle lateral displacements on roadways, this study measured wheel tracks on two-lane and four-lane National highways with lane widths 3.25m and 3.5m. The results showed that the tracks of left and right wheels were distributed into different forms, and those of left wheels were more concentrated. In the mean of the left distributions, 59.5cm and 80.7cm were obtained on lane widths 3.25m and 3.5m respectively by cars, and 58.4cm and 73.6cm were obtained by trucks. These mean differences seem to be generated from those between the lane widths. It is recommended to apply the distribution of left wheel tracks for pavement designs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.293-296
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• 2016

In case of an emergency on a busy road of a city, drivers should make way for special vehicles such as police cars, fire engines, or ambulance as soon as possible. If road infrastructures recognize the movements of special vehicles, and transfer alert message to traffic signal controllers and normal cars through wireless network such as WAVE or TPEG, normal cars can prepare to make way in advance. As a result, it help special vehicles move faster. In this paper, we install a roof mark on the roof of a special vehicle, detect the mark through a mark recognition algorithm which includes perspective transformation, and get the inner information by decoding the digital pattern on it. The experiment results show that mark can be recognized 100% and 93.3% of inner digital data of the mark can be recognized, when the size of a mark is larger than $88cm{\times}88cm$ and the mark moves at a speed of 50km/s.