• Proceedings of the KIEE Conference
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• 2004.07c
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• pp.1640-1642
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• 2004

현재 국내에서의 견인전동기 개발현황은 직류전동기는 655kw, 교류전동기는 210kw정도이며, 주행속도가 200km/h이상인 고속에 적용되는 1,000kW급 이상 유도전동기 기술은 한국형 고속전철이 국내에서는 최초이다. 최고 주행속도 300km/h급의 고속전철용 1,130kW 동기전동기에 대한 제작 및 시험기술만을 프랑스에서 이전 받아 유도전동기를 제작하였다. 고속철도 차량용 견인전동기는 한정된 공간에 취부되어야 함으로 경량화가 필수적이다. 또한 전력기기에 대한 에너지 고밀도화가 가능해야 함으로 열적 특성에 대한 분석이 체계적으로 이루어져야 한다. 본 연구를 통해 외기 온도, 주행 속도 및 운행 시간에 따른 견인전동기의 온도 특성 변화를 살펴봄으로써 고속전철용 견인전동기의 고정자 온도 특성을 확인할 수 있었다.

• Journal of Korean Society of Transportation
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• v.26 no.2
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• pp.167-176
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• 2008

Although a rate of car accident death is on the decrease, internal rate of median encroachment accident is still high. In order to reduce the median encroachment accident, government use median barriers but there are no exact criteria of them. Particularly, current impulse measurement method has adopted the uniformly operating speed and encroachment angle. At reality, however, there are various conditions depends on driver's characters. In that reason, this study calculates reasonable impulse quantity through encroachment angle and operating speed. It will be necessary to prevent overuse treasury and car accidents.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.1
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• pp.18-23
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• 2003

This paper presents new algorithms of path planning and obstacle avoidance for an autonomous mobile robot to navigate under unknown environments in the real time. Temporary targets are set up by distance variation method and then the algorithms of trajectory planning and obstacle avoidance are designed using fuzzy rules. It is shown by computer simulation that these algorithms are working well. Furthermore, an autonomous mobile robot was constructed to implement and test these algorithms in the real field. The experimental results are also satisfactory just like those of computer simulation.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.2 no.2 s.3
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• pp.23-29
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• 2003

This study is the empirical research about application and evaluation of AVI that is an essential technology for calculating and providing the travel time. Travel time calculation and provision is one of the technique for information collecting and providing in the ITS. Through the field test on a national highway, we proposed the travel time calculation technique from the data by non-contact vehicle detecting method and validated field application performance with field data. We proposed the technique of evaluating field application performance, then using this, analyzed recognition rate, detection rate and travel time with field data.

• Journal of the Korean Society of Systems Engineering
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• v.1 no.2
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• pp.26-33
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• 2005

In this paper, an algorithm is presented to recognize road based on unpaved test courses image. The road images obtained by a video camera undergoes a pre-processing that includes filtering, gray level slicing, masking and identification of unpaved test courses. After this pre-processing, a part of image is grouped into 27 sub-windows and fed into a three-layer feed-forward neural network. The neural network is trained to indicate the road direction. The proposed algorithm has been tested with the images different from the training images, and demonstrated its efficacy for recognizing unpaved road. Based on the test results, it can be said that the algorithm successfully combines the traditional image processing and the neural network principles towards a simpler and more efficient driver warning or assistance system.

• Journal of Ocean Engineering and Technology
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• v.24 no.3
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• pp.72-78
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• 2010

This paper presents a design approach of driving system for tidal flat vehicle. Firstly, topographic and geological survey of tidal flat zone was accomplished. 'Anac' located in the west-south coast of South Korea was chosen for the survey area. From the survey, the basic design data such as distribution of gullies size and bearing pressure was obtained. To figure out the shape of driving system, numerical simulations were carried out. Through the numerical dynamic simulations using $Recurdyn^{TM}$, the performance of various concepts of driving system was analyzed. From the results, we propose the conceptual design with the functions: a) low contact pressure, b) powerful driving force transmission, c) adaptation to the ground undulation. To satisfy these functional requirements, the driving system adopts rubber tracks, sprockets, tires and suspensions. The static structural analysis of the frame structure was executed as well, from which the detailed design was drawn out. To validate the performance of the designed driving system, the test vehicle which has gasoline engine of 27HP and mechanical transmission was constructed. The driving tests of the vehicle were performed twice at the "Anac" area, and unveiled its capability.

• Proceedings of the KIEE Conference
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• 2005.07b
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• pp.1601-1603
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• 2005

현재 국내에서의 견인전동기 개발현황은 직류전동기는 655kW, 교류전동기는 210kW정도이며, 주행속도가 200km/h이상인 고속에 적용되는 1,000 kW급 이상 유도전동기 기술은 한국형 고속전철이 국내에서는 최초이다. 최고 주행속도 300km/h급의 고속전철용 1,130kW 동기전동기에 대한 제작 및 시험기술만을 프랑스에서 이전 받아 유도전동기를 제작하였다. 고속철도 차량용 견인전동기는 한정된 공간에 취부되어야 함으로 경량화가 필수적이다. 또한 전력기기에 대한 에너지 고밀도화가 가능해야 함으로 열적 특성에 대한 분석이 체계적으로 이루어져야 한다. 본 연구를 통해 외기 온도, 주행 속도 및 운행 시간에 따른 견인전동기의 온도 특성변화를 살펴봄으로써 고속전철용 견인전동기의 고정자 온도 특성을 확인할 수 있었다.

• Journal of ILASS-Korea
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• v.24 no.2
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• pp.73-81
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• 2019

It is expected that the introduction of real-driving emission will strengthen the exhaust emission. However, various researches have been reported that real-driving emission has been influenced by factors such as characteristics of the test routes and driving characteristics for drivers. In order to reflect this effect, European Commission applied the concept of driving dynamics to prevent deliberately driving of excessive and acceleration over RDE test. The purpose of this study is to analyze the characteristics of exhaust emissions according to real-driving test in three test routes and driving style. As a result of the test, it was confirmed that when the same driver tested real-driving test under three test routes, it depends on the driving characteristics of the route. Also, RDE-NOx for driving style was that severe driving has been about 16 times higher than normal driving in KNUT route.

• Journal of the Korea Institute of Military Science and Technology
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• v.24 no.3
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• pp.293-301
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• 2021

LTV(Light Tactical Vehicle) operating in our military requires higher levels of performance and durability to withstand harsher conditions than general vehicles, as they must travel on both rough-train and off-road as well as on public roads. Recently, LTV development is demanded a variety of test evaluations in order to satisfy ROC (Required Operational Capability) by the military requirement. However, there is no informations of driving test course for satisfying the durability performance of Korean tactical vehicle. Therefore, this study aims to provide basic data to establish reliable drive test conditions by analyzing the main maneuvering test site at the domestic and foreign country in order to select the representative drive course. These studies will provide a more scientific and systematic evaluation solution for the development of tactical vehicles, and can be effectively used to establish a certified system for military vehicle test evaluation in the future

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.2
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• pp.195-211
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• 2023

For the commercialization For the commercialization of autonomous vehicles (AV), the operational design domain (ODD) of automated driving systems (ADS) is to be clearly defined. A common language and consistent format must be prepared so that AV-related stakeholders can understand ODD at the same level. Therefore, overseas countries are presenting a standardized ODD framework and developing scenarios that can evaluate ADS-specific functions based on ODD. However, ODD includes conditions reflecting the characteristics of each country, such as road environment, weather environment, and traffic environment. Thus, it is necessary to clearly understand the meaning of the items defined overseas and to harmonize them to reflect the specific domestic conditions. Therefore, in this study, domestic optimization of the ODD classification system was performed by analyzing the domestic driving environment based on international standards. The driving environment of currently operating self-driving car test districts (Sangam, Seoul, and Gwangju) was investigated using the developed domestic ODD items. Then, based on the results obtained, the ranges of the ODDs in each test district were determined and compared.