• Journal of Korean Society of Transportation
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• v.7 no.1
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• pp.5-18
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• 1989

Understanding the future level of car ownership is essential in order to formulate various transportation policies. Despite its importance, however, a revies of literature indicates that previous studies treated car ownership as a linear function of income, GNP, degree of urbanization and etc. more detaild and accurate models of car ownership should be possible if information on major variables determining car ownership can be gathered. In this paper, three approaches have been chosen to develop mathematical models to predict future increase in car ownership in Korea. The three methords developed are : income distribution methords ; multiple regression models ; forecasting curves.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.274-280
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• 2017

The smart-car industry has emerged as the important variable that will decide the future industrial contour of the automotive industry, together with commercialization of electronic vehicles, connected cars, infotainment, telematics, and the autonomous/self-driving car. This study analyzes the strategic position of platform companies and car manufacturers that would determine the future of the smart-car market. The findings of this study show that despite the entry barriers in industrial factors, such as economies of scale, the industrial infrastructure, and global production networks, and technical factors like exclusive head-sector information, car manufacturers may be deprived of their industrial leadership by platform companies with map and user data, big data capabilities, and user interface experience if they lag behind ICT innovation. This insight is based on the emerging importance of software and platforms, and the simplification of car structures, proven by the successful commercialization of electronic vehicles. This study complements existing studies mainly focused on technical aspects of the smart-car industry by examining the strategic dimensions of platform companies and their approach to the future smart-car market by comparing them with existing car manufacturing multinationals.

• IEMEK Journal of Embedded Systems and Applications
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• v.1 no.2
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• pp.82-89
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• 2006

It appears that it is possible for us to make a wireless communication of even home-network system within car by integrating with the Ubiquitous such as mobile phone, wireless Internet, GPS and DMB in the future. If the present wireless surroundings within the car are connected with very high-speed wireless network as measurement system for wireless communication surroundings within this car in the future, it will develop the complicated communication conditions such as safe checkup, communication between systems within car, and wireless communication for user entertainment unlike universal communication conditions. Accordingly, there is the necessity of the device that can measure the interference of electric wave, communication speed and communication quality by a kind of each car. This paper aims at making the real measurement device to raise the reliability of each Application for inquiring into the interference about each other in the frequency band used under Telematics surroundings.

• Proceedings of the KSR Conference
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• 2001.05a
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• pp.217-221
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• 2001

Barber bogie and Y25 bogie is the main bogie of freight car which is used in the Korean railway. In case of Barber bogie and a mixed formation tile maximum speed limit of empty car is 70 km/h and that of loaded car is 90 km/t and also it runs a speed of 110 km/h in time of an exclusive formation of Y25 bogie. The car named as high speed freight car at present is Y25 bogie which modeled on the Y25 bogie or Europe developed in 1993, Y25 bogie has no problem about the running capacity up to the speed of 110 km/h, but it works as limiting factors to tile increasing cost of maintenance and repair expenses which caused by repair of bogie and the cost of materials. This study is going to describe the contents examined by analysis and tests, aimed at being used as an index of plan in the future through the strength test of high speed freight car which is used now.

• Management & Information Systems Review
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• v.15
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• pp.187-222
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• 2004

The existing fixed telematics facilities for car were restricting of efficiency, utilization, communication, possibility, so it become disconnected with reality in the domestic and foreign market within thy near future, like as the case of 'car-phone'. It is too difficult to make a various business model on the restrict basis. To solve these problems, We suggested Tablet PC system as a new mobile telematics platform. The telematics platform based on the Tablet PC realize the perfect office, because it shows an excellent portability, high power and extension, various input equipment, and environment of communication in the car. To realize this concreteness, it needs a proper marketing strategy for a new business model. For this purpose, We analyzed the structure of industry, selected a proper target market, and established the strategy of marketing. Additionally, We proposed new business models ; particularly Portal site, Car-Home network, Car Software Tuning, and T-Vaccine(Intelligent Car Inspection System). These are made possible by the only Tablet PC platform.

• Convergence Security Journal
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• v.18 no.3
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• pp.69-76
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• 2018

One of the most remarkable technologies in the era of the 4th industrial revolution is the interest in the field of smart cars. In the near future, it will not only be possible to move to a place where you want to ride a smart car, but smart cars, including artificial intelligence elements, can avoid sudden car accidents. However, as the field of smart automobiles develops, the risks are expected to increase. Therefore, based on the understanding of security vulnerabilities that may occur in smart car networks, we can apply safe information security technology using FIDO and attribute-based authorization delegation technique to provide smart car control technology that is safe and secure. I want to. In this paper, we show that the proposed method can solve security vulnerabilities by using secure smart car control technology. We will further study various proposals to solve security vulnerabilities in the field of smart car networks through future research.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.159-170
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• 2019

This study is an online survey for consumers in the metropolitan areas of Japan and Korea, which are advanced countries in Asia, and the maturity of the automobile market. The purpose of this study is to compare the results of Korea and Japan. As a result of this study, we analyzed the differences between the consumer characteristics and the optional attribute factors of low-carbon automobiles of Korea. There was a difference. It was found that the factors of low carbon car selection attribute differed with age, and that stability was more important when selecting low carbon car as income level increased. In Japan, there were no differences in the selection attribute factors of low carbon cars by gender, age and income. In addition, there is no difference in the relationship between the future purchase timings of low-carbon car types in both Korea and Japan. Implications of this study Korea has a meaningful result that Korea tends to select low-carbon automobiles with an emphasis on economic aspects and ages, and that safety tends to emphasize safety of low-carbon automobiles according to income levels. In the case of low carbon car, there was a tendency to select a low carbon car without any difference in consumer characteristics. The relationship between the expected purchase time according to the type of low carbon car and the Korean car show that the preferred car within the next 10 years among the low carbon car types is electric car and Japan prefers hybrid car.

• Journal of the Korean Society for Precision Engineering
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• v.26 no.10
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• pp.97-107
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• 2009

Recent technologies of the car are focused on improving vehicle's fuel efficiency and developing alternative energy sources. These technologies bring on the development of hybrid car. On the other hand, because of short driving distance, low efficiency of charging and high price, energy storage system need to improve the storage capability. It is very important to understand the existing technologies, grasp the existing patent and establish the technical target to improve the energy storage system. In this paper, technology trends of energy storage system of the hybrid car are analyzed. This study was based on the applied and registered patent in Korea, Japan, U.S.A and Europe until December 2008. The analyses are divided into two categories: a battery system and charging system of the hybrid car. The facts of the level of technology, trends of the R&D of leading companies, key patents, blank of the technology were analyzed. Finally the future R&D strategy of hybrid car are established.

• Journal of Korean Society for Geospatial Information Science
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• v.24 no.2
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• pp.37-46
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• 2016

The difference between definition time of GPS (Global Positioning System) position data and actual display time of car positions on a map could reduce the accuracy of car positions displayed in PND (Portable Navigation Device)-type CNS (Car Navigation System). Due to the time difference, the position of the car displayed on the map is not its current position, so an improved method to fix these problems is required. It is expected that a method that uses predicted future positionsto compensate for the delay caused by processing and display of the received GPS signals could mitigate these problems. Therefore, in this study an analysis was conducted to correct late processing problems of map positions by mapmatching using a Kalman filter with only GPS position data and a RRF (Road Reduction Filter) technique in a light-weight CNS. The effects on routing services are examined by analyzing differences that are decomposed into along and across the road elements relative to the direction of advancing car. The results indicate that it is possible to improve the positional accuracy in the along-the-road direction of a light-weight CNS device that uses only GPS position data, by applying a Kalman filter and RRF.

• Journal of Auto-vehicle Safety Association
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• v.11 no.3
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• pp.30-36
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• 2019

This paper suggests a car-following algorithm for urban environment, with multiple target candidates. Until now, advanced driver assistant systems (ADASs) and self-driving technologies have been researched to cope with diverse possible scenarios. Among them, car-following driving has been formed the groundwork of autonomous vehicle for its integrity and flexibility to other modes such as smart cruise system (SCC) and platooning. Although the field has a rich history, most researches has been focused on the shape of target trajectory, such as the order of interpolated polynomial, in simple single-lane situation. However, to introduce the car-following mode in urban environment, realistic situation should be reflected: multi-lane road, target's unstable driving tendency, obstacles. Therefore, the suggested car-following system includes both in-lane preceding vehicle and other factors such as side-lane targets. The algorithm is comprised of three parts: path candidate generation and optimal trajectory selection. In the first part, initial guesses of desired paths are calculated as polynomial function connecting host vehicle's state and vicinal vehicle's predicted future states. In the second part, final target trajectory is selected using quadratic cost function reflecting safeness, control input efficiency, and initial objective such as velocity. Finally, adjusted path and control input are calculated using model predictive control (MPC). The suggested algorithm's performance is verified using off-line simulation using Matlab; the results shows reasonable car-following motion planning.