• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.2
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• pp.50-57
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• 2023

Autonomous driving technologies have been gradually improved for road traffic owing to the development of artificial intelligence. Since the truck platooning is beneficial in terms of the associated transporting expenses, the Connected-Automated Vehicle technology is rapidly evolving. The structural performance is, however, rarely investigated to capture the effect of truck platooning on civil infrastructures.In this study, the dynamic behavior of bridges under truck platooning was investigated, and the amplification factor of responses was estimated considering several parameters associated with the driving conditions. Artificial intelligence techniques were used to estimate the maximum response of the mid span of a bridge as the platooning vehicles passing, and the importance of the parameters was evaluated. The most suitable algorithm was selected by evaluating the consistency of the estimated displacement.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.11a
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• pp.177-181
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• 2002

본 연구에서는 동적환경 감성 시험평가 시스템(driving simulator)을 이용하여 다양한 운전속도(40, 70, 100km/h)에서 주행시 운전자의 감성평가를 실시하였다. 그 결과, 주행속도가 증가할수록 쾌활성, 쾌적감, 긴장감, 각성감, 속도감이 높게 나타났고, 심박수는 증가하였다. 안정시에 비하여 주행시에 뇌파의 알파파는 감소하고 베타파는 증가하였으며 호흡수가 증가하였으나, 조건간의 유의차는 나타나지 않았다. 또한 70km/h이상에서 GSR의 증가와 SKT의 감소가 인정되었으며, 70km/h이하에서 눈깜박임율이 증가하였다. 이상의 결과로부터, 운전자는 속도가 증가할수록 주관적으로 긍정적인 감성을 느끼지만, 70km/h이상에서 자율신경계 반응에 차이가 있음을 알 수 있었다. 또한 이러한 결과는 실제차량 및 시뮬레이터에서 수행한 선행연구의 결과와 대체로 일치하여 본 시스템으로 운전자 감성평가가 충분히 수행될 수 있음을 시사하였다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.04a
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• pp.382-385
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• 2005

본 논문에서는 자기저항 센서를 이용한 자계기반 자율주행 시스템의 자계특성을 분석한다. 자율주행 시스템에서 가장 중요한 핵심기술은 자기원으로 구성된 도로를 주행하는 차량의 현재위치 파악이다. 따라서 자계 도로위의 차량의 현재위치를 검출하기 위한 시스템의 선행조건으로 센서와 자기원 사이에 존재하는 자계의 특성을 분석하기 위한 실험 장치를 설계하고 구성하였다. 그리고 자기원의 설치간격 및 기울기에 따른 자계의 3축성분과 데이터를 획득한다. 획득한 데이터를 이용하여 3축 성분에 따른 거리정보와 방향에 따른 자계의 변화를 분석한다.

• Science of Emotion and Sensibility
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• v.22 no.4
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• pp.15-30
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• 2019

The reduction of traffic accidents is a primary potential benefit of autonomous vehicles (AVs). However, the prevalence of AVs also arouses a key question: to what extent should a human wrest control back from AVs? Specifically, in an unavoidable situation of emergency, should an AV be able to decide between the safety of its own passengers and endangered pedestrians? Should AV programming include well-accepted decision rules about actionsto take in hypothetical situations? The current study (N = 103) examined individual/situational variables that could perform critical decision-making roles in AV related traffic accidents. The individual variable of attitudes toward AVs was assessed using the Self-driving Car Acceptance Scale. To investigate situational influences on decisional processes, the study's participants were assigned to one of two groups: the achievement value was activated in one group and the benevolence value was triggered in the other through the use of a sentence completion task. Thereafter, participants were required to indicate who should be protected from injury: the passengers of the concerned AV, or endangered pedestrians. Participants were also asked to record the extent to which they intended to buy an AV programmed to decide in favor of the greater good according to Utilitarian principles. The results suggested that participants in the "achievement value: driver perspective" groupexpressed the lowest willingness to sacrifice themselves to save several pedestrians in an unavoidable traffic accident. This group of participants was also the most reluctant to buy an AV programmed with utilitarian rules, even though there were significant positive relationships between members' acceptance of AVs and their expressed intention to purchase one. These findings highlight the role of the decisional processes involved in the "achievement value" pertaining to AVs. The paper finally records the limitations of the present study and suggests directions for future research.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2000.02a
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• pp.40-46
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• 2000

• Journal of Korean Society of Steel Construction
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• v.24 no.1
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• pp.47-58
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• 2012

Dynamic behaviors of a corrugated steel plate tunnel lining system are examined under wind loads due to passing vehicles. Applied wind loads are simulated by applying the time functions as a vehicle moves through the tunnel. Wind loads are described by the pressure and suction as a vehicle arrives and leaves target positions in the tunnel. The tunnel lining is modeled using the simplified shell elements that retain the characteristics of the corrugated shapes. The displacements of the tunnel lining are evaluated under various conditions regarding wind velocity and the passing vehicles. The responses are found to increase as the vehicle velocity and wind velocity increase. A maximum displacement of 25mm occurs when two vehicles are crossing at the speed of 120km/h. A row of vehicles running consecutively minimally affects the dynamic responses with less than 2.5% of the dynamic responses enlarged and attributed to one running vehicle. It should be noted that the dynamic responses of the tunnel lining should be considered when there is no shotcrete applied.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.2
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• pp.153-159
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• 2016

In this paper, a mechanism of an omni-directional personal mobility which can drive diagonally is proposed. Mobility is a prerequisite involved in basic human life and activities. Personal mobility vehicle is a new mobility method which overcome the limits of automobiles. However, personal mobilities with four wheeled structure still have limitations. The proposed personal mobility vehicle can overcome the limitations of mobility because its rear wheels can be steered omni-directionally. In addition, the handicapped can drive it through a narrow road such as an alleyway or corridor and avoid obstacles on the traveling route. The proposed mechanism of personal mobility and the steering performance are tested by experiments, and the feasibility of diagonal driving is verified.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.70-82
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• 2022

At the current stage of a semi-autonomous vehicle, there are situations in which the vehicle has to request take-over control to the driver quickly. However, current self-driving cars use only simple messages and warning sounds to notify drivers when handing over control, so they do not adequately convey considerations of individual characteristics or explanations of various emergent situations. This study investigated how visual and auditory information and the efficacy of drivers in self-driving cars can improve efficient take-over requests between the car and the driver. We found that there were significant differences in driver's cognitive load, reliability, safety, usability, and usefulness according to the combination of three visual and auditory information provided in the experiment of the take-over request situation. The results of this study are expected to help design self-driving vehicles that can communicate more safely and efficiently with drivers in urgent control transition situations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5430-5437
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• 2011

The objective of this study is to investigate the cooling performances of the electrical air-conditioning system using electric driven scroll compressor for zero emission passenger vehicles. This air conditioner with air source was used R-134a as a refrigerant and installed in a real zero emission passenger vehicle for tests under various driving conditions. The cooling performance of the electrical air conditioner was affected by driving velocities and conditions of the tested vehicle. The condensing rate of the condenser during driving is better than that of the idle condition. The average cool down temperature in the cabin room decreased on average $5.2^{\circ}C$ with the increase of the outdoor temperature from $20.0^{\circ}C$ to $30.0^{\circ}C$. In addition, the cooling performances were sufficient for cooling loads of the tested passenger car under tested conditions.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.235-249
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• 2020

The Ministry of Land, Infrastructure and Transport established safety standards for Level 3 autonomous vehicles for the first time in the world in December 2019, and specified the safety standards for conditional autonomous driving systems. Accordingly, it is necessary to analyze the influence of various driving environments on take-over. In this study, using a driving simulator, we investigated how traffic conditions and weather conditions affect take-over time and stabilization time. The experimental procedure was conducted in the order of preliminary training, practice driving, and test driving, and the test driving was conducted by dividing into a traffic density and geometry experiment and a weather environment experiment. As a result of the experiment, it was analyzed that the traffic volume and weather environment did not affect the take-over time and take-over stabilization time, and only the curve radius affects take-over stabilization time.