• Journal of the Korean Society for Precision Engineering
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• v.15 no.6
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• pp.15-21
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• 1998

Mostly a ride comfort and handling performance of vehicle is influenced by dynamic behavior control of vehicle. We are focusing on development of a semi-intelligent suspension system with continuously variable damper(HS-SH type). only using absolute velocity of sprung mass without using the relative velocity besides having lower system prices and a little energy requirement. In this paper, the system is realized in consideration to control strategy (sky-hook control, hybrid filter, etc.) and has been proved to have improvement of behavior control of vehicle by quarter car and Vehicle test, respectively.

• Proceedings of the KSR Conference
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• 1999.05a
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• pp.450-457
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• 1999

In this study, the simplified method for 3-dimensional vehicle-bridge interaction analysis is utilized in the analysis of dynamic behavior of bridges in which the eccentricity of axle loads and the effect of the torsional forces acting on the bridge are included for the more accurate vehicle-bridge interaction analysis. Investigations mainly into the influence of vehicle speed on vehicle-bridge interactions are carried out for case that two trains move respectively on their tracks in the opposite direction.

• Korea Trade Review
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• v.47 no.5
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• pp.1-20
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• 2022

As a part of environmental pollution mitigation in China, the number of environmentally friendly vehicles in China is proliferating, attention to vehicles that use environmentally friendly energy continues to increase, and China's new energy vehicle market is also growing rapidly. Similar to existing research, the focus of the subsidy is to provide financial support for electric vehicle buyers and the expansion of new energy vehicle charging infrastructure. Under these circumstances, this study attempts to understand the influence of Chinese consumers' green responsibility and other psychological factors on electronic vehicle purchase intention based on norm activation theory and theory of planned behavior. PLS-SEM examined the proposed hypotheses with 369 valid Chinese consumers, and all were supported. Our findings contribute to the extension of the research scope of Chinese consumers' intention to purchase electric vehicles and provide practical information for domestic and foreign firms entering China, the world's largest electric vehicle market.

• International Journal of Automotive Technology
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• v.7 no.2
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• pp.145-154
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• 2006

In the companion paper, the composition and structure of the MATDYMO (Multi-Agent for Traffic Simulation with Vehicle Dynamic Model) were proposed. MATDYMO consists of the road management system, the vehicle motion control system, the driver management system, and the integration control system. Among these systems, the road management system and the integration control system were discussed In the companion paper. In this paper, the vehicle motion control system and the driver management system are discussed. The driver management system constructs the driver agent capable of having different driving styles ranging from slow and careful driving to fast and aggressive driving through the yielding index and passing index. According to these indices, the agents pass or yield their lane for other vehicles; the driver management system constructs the vehicle agents capable of representing the physical vehicle itself. A vehicle agent shows its behavior according to its dynamic characteristics. The vehicle agent contains the nonlinear subcomponents of engine, torque converter, automatic transmission, and wheels. The simulation is conducted for an interrupted flow model and its results are verified by comparison with the results from a commercial software, TRANSYT-7F. The interrupted flow model simulation is implemented for three cases. The first case analyzes the agents' behaviors in the interrupted flow model and it confirms that the agent's behavior could characterize the diversity of human behavior and vehicle well through every rule and communication frameworks. The second case analyzes the traffic signals changed at different intervals and as the acceleration rate changed. The third case analyzes the effects of the traffic signals and traffic volume. The results of these analyses showed that the change of the traffic state was closely related with the vehicle acceleration rate, traffic volume, and the traffic signal interval between intersections. These simulations confirmed that MATDYMO can represent the real traffic condition of the interrupted flow model. At the current stage of development, MATDYMO shows great promise and has significant implications on future traffic state forecasting research.

• Journal of Korean Society of Transportation
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• v.35 no.4
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• pp.332-347
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• 2017

Analysis of the interaction between the automated vehicles and manual vehicles is very important in analyzing the performance of automated cooperative driving environments. In particular, the automated vehicle platooning can affect the driving behavior of adjacent manual vehicles. The purpose of this study is to analyze the lane change behavior of the manual vehicles in automated vehicle platonning environment and to conduct the experiment and questionnaire surveys in three stages. In the first stage, a video questionnaire survey was conducted, and responsive behaviors of manual vehicles were investigated. In second stage, the driving simulator experiments were conducted to investigate the lane change behaviors of in automated vehicle platonning environments. To analyze the lane change behavior of the manual vehicles, lane change durations and acceleration noise, which are indicators of traffic flow stability, were used. The driving behavior of manual vehicles were compared across different market penetration rates (MPR) of automated vehicles and human factors. Lastly, NASA-TLX (NASA Task Load Index) was used to evaluate the workload of the manual vehicle drivers. As a result of the analysis, it was identified that manual vehicle drivers had psychological burdens while driving in automated vehicle platonning environments. Lane change durations were longer when the MPR of the automated vehicles increased, and acceleration noise were increased in the case of 30-40 years old or female drivers. The results from this study can be used as a fundamental for more realistic traffic simulations reflecting the interaction between the automated vehicles and manual vehicles. It is also expected to effectively support the establishment of valuable transportation management strategy in automated vehicle environments.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.337-342
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• 2011

Vehicle dynamic behavior should be investigated to establish the track irregularity criteria because they have an impact on vehicle dynamic behavior. The influence of twist on running behavior and safety for KTX was instigated by numerical analysis among track geometry quality parameters such as vertical alignment, lateral alignment, twist and track gauge in this paper. The wavelength and amplitude of twist were considered in scenario of this numerical analysis. This research is based on just numerical analysis and the final result which include measurement will be published in the future.

• Journal of Distribution Science
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• v.17 no.6
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• pp.85-90
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• 2019

Purpose - In China, electric vehicle industry has been increased attention as a environmental friendly transportation to solve pollution problems, and still growing to solve a technological gap issues in automobile industry. Although the interest of electric vehicle is getting bigger, there are not many studies that showing consumers' intention to purchase an electric vehicle. Because of this phenomenon, this study tried to find the factors which can affect the purchase intention of electric vehicle. Research design, data, and methodology - Drawing on the Planned Behavior Theory(TPB), this study examined attitude toward the behavior, subjective norm of environmental protection, and the influence of economic benefits on purchase intention through survey. we measure 233 Chinese samples. Results - The results showed that attitude toward electric vehicles, subjective norms of environmental protection, and economic benefits had a significant effect on purchase intention. To be specific, the consciousness of environmental protection, economic considerations, product image and its characteristic are all considerable aspects from the standpoint of Chinese consumers. In addition, we found that the higher the age group, the weaker relationship between attitude toward electric vehicle and purchase intention. Conclusion - This study suggests that diverse factors related to the purchase intention of electric car in China market and Chinese consumers. Especially, economic benefit factors, which have a statistically significant and significant influence on the purchase intention of electric vehicles, are not significant variables in the existing electric vehicle research. This result is considered to be the result of the fact that the electric vehicle is not only an automobile having an environmentally friendly factor but also a product which makes it consider the economic situation. Put together, the results of this paper give us the theoretical basis for establishing an electric vehicle marketing strategy in the rapidly changing Chinese market. Also, this paper will provide new ventures for marketing and distribution strategies for Korean companies that are looking to expand into China.

• Transactions of the Korean Society of Automotive Engineers
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• v.12 no.5
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• pp.136-145
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• 2004

In companion paper, the composition and structure of the traffic environment is derived. Rules to regulate agent behaviors and the frameworks to communicate between the agents are proposed. In this paper, the model of a driver agent which controls a vehicle agent is constructed. The driver agent is capable of having different driving styles. That is, each driver agent has individual behavior settings of the yielding index and the passing index. The yielding index can be defined as how often the agent yields in case of lane changes, and the passing index can be defined as how often the agent passes ahead. According to these indices, the agents overtake or make their lanes for other vehicles. Similarly, the vehicle agents can have various vehicle dynamic models. According to their dynamic characteristics, the vehicle agent shows its own behavior. The vehicle model of the vehicle agent contains the nonlinear subcomponents of engine, torque converter, automatic transmission, and wheels. The simulation has proceeded for an interrupted flow model. The result has shown that it is possible to express the characteristics of each vehicle and its driver in a traffic flow, and that the change of the traffic state is closely related with the distance and the signal delay between intersections. The system developed in this paper shows the effectiveness and the practical usefulness of the traffic simulation.

• Interaction and multiscale mechanics
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• v.3 no.4
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• pp.405-414
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• 2010

The performance of full-scale steel and composite bridge safety barriers under vehicle crash is evaluated by using the nonlinear explicit finite element code LS-DYNA. Two types of vehicles used in this study are passenger car and truck, and the performance criteria considered include structural strength and deformation, occupant protection, and post-crash vehicle behavior. It can be concluded that the composite safety barrier satisfies all performance criteria of vehicle crash. Although the steel safety barrier satisfies the performance criteria of occupant protection and post-crash vehicle behavior, it fails to satisfy the performance criterion of deformation. In all performance evaluations, the composite safety barrier exhibits a superior performance in comparing with the steel safety barrier.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2012.10a
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• pp.613-616
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• 2012

A multi body simulation (MBS) model is developed for predicting the impact harshness of the vehicle. Impact harshness is the vehicle performance to evaluate the impulsive vibration behavior during driving over an obstacle of the road. Thus, the approach is simulated on the time domain for considering the transient behavior of the vehicle. The validity of vehicle component modeling of bushes, dampers and structure flexibilities is verified. The simulations are compared with the test results in both of vertical and longitudinal directions. In particular, the vertical vibration of the vehicle is significantly affected by the body flexibility. Through the sensitivity analysis, main factors for the impact harshness performance are investigated.