• 자동차안전학회지
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• 제13권4호
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• pp.60-65
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• 2021

The event data recorders (EDR) have been used as a device to help understand traffic accidents. With the recent development of autonomous vehicle (AV), it has become important to prepare the new EDR for AV. Therefore, the purpose of this study is to propose the direction of EDR-AV recording. First of all, the recent EDR data elements and the data elements of AV under discussion at UNECE WP29 EDR/DSSAD (Data Storage System for Automated Driving) were analyzed. The consumer complaint database in Motor Vehicle Recall Center in Korea was analyzed in order to utilize cases of domestic traffic accidents related to advanced driver assistance systems (ADAS). Consequently, problems with existing EDR were identified through unclear accident cases related to ADAS. In the future, it was proposed to record images in which the ADAS perception systems recognize the surroundings of the accident site as an EDR-AV recording item.

• 자동차안전학회지
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• 제13권4호
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• pp.39-52
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• 2021

This paper presents a longitudinal acceleration controller that can be applied to real vehicles (nonlinear and time-varing systems) with only a simple experiment regardless of the type of vehicle and the control interface structure. The controller consists of a feedforward term for fast response, a zero-throttle acceleration compensation term, and a feedback term (P gain) to compensate for errors in the feedforward term, and another feedback term (I gain) to respond to disturbances such as slope. In order to easily apply it to real vehicles, there are only two tuning parameters, feedforward terms of throttle and brake control. And the remaining parameters can be calculated immediately when the two parameters are decided. The tuning procedure is also unified so that it can be quickly and easily applied to various vehicles. The performance of the controller was evaluated using MATLAB/Simulink and Truksim's European Ben model. In addition, the controller was successfully implemented to 3 medium-sized vehicle (HMC Solati), which is composed of different control interface characteristic. Vehicle driving performance was evaluated on the test track and on the urban roads in Siheung and Seoul.

• 자동차안전학회지
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• 제14권4호
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• pp.27-34
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• 2022

In the development of automated driving, interest in the interior parts of vehicle is to become more significant in terms of the occupant safety and comfort. This study proposed an optimal design of front seat according to the design requirements for frame stiffness and seat comfort. For the seat comfort, the appropriate foam thickness was obtained using the structural analysis under reclined occupant loadings. While the strength and stiffness analyses were performed to evaluate the seat frame structure. Topology optimization was carried out based on the simulation results and the derived optimal model and baseline seat design was updated. The conceptual seat design for the autonomous vehicle in this study showed that the model development process is appropriate for the design parameters in both frame stiffness and seat comfort.

• 대한인간공학회지
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• 제36권2호
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• pp.87-108
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• 2017

Objective: The purpose of this study was to precede the acceptance study based on automation steps and user experience that was lacked in the past study on the core technology of autonomous vehicle, ADAS. The first objective was to construct the acceptance model of ADAS technology that is the core technology, and draw factors that affect behavioral intention through user experience-based evaluation by applying driving simulator. The second one was to see the change of factors on automation step of autonomous vehicle through the UX/UA score. Background: The number of vehicles with the introduction of ADAS is increasing, and it caused change of interaction between vehicle and driver as automation is being developed on the particular drive factor. For this reason, it is becoming important to study the technology acceptance on how driver can actively accept giving up some parts of automated drive operation and handing over the authority to vehicle. Method: We organized the study model and items through literature investigation and the scenario according to the 4 stages of automation of autonomous vehicle, and preceded acceptance assessment using driving simulator. Total 68 men and woman were participated in this experiment. Results: We drew results of Performance Expectancy (PE), Social Influence (SI), Perceived Safety (PS), Anxiety (AX), Trust (T) and Affective Satisfaction (AS) as the factors that affect Behavioral Intention (BI). Also the drawn factors shows that UX/UA score has a significant difference statistically according to the automation steps of autonomous vehicle, and UX/UA tends to move up until the stage 2 of automation, and at stage 3 it goes down to the lowest level, and it increases a little or stays steady at stage 4. Conclusion and Application: First, we presented the acceptance model of ADAS that is the core technology of autonomous vehicle, and it could be the basis of the future acceptance study of the ADAS technology as it verifies through user experience-based assessment using driving simulator. Second, it could be helpful to the appropriate ADAS development in the future as drawing the change of factors and predicting the acceptance level according to the automation stages of autonomous vehicle through UX/UA score, and it could also grasp and avoid the problem that affect the acceptance level. It is possible to use these study results as tools to test validity of function before ADAS offering company launches the products. Also it will help to prevent the problems that could be caused when applying the autonomous vehicle technology, and to establish technology that is easily acceptable for drivers, so it will improve safety and convenience of drivers.

• 자동차안전학회지
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• 제10권3호
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• pp.32-37
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• 2018

Recently, the driver can be assisted by the advanced active safety devices such as ADAS from road traffic risks. With this system, driver and passenger may freed from can driving tasks or kept eyes on forward direction while on the road. Help from adoptive cruise control, auto parking and newly develped automated driving vehicles technologies, the driver positions will vary significantly from the current standard driver position during the travel time. On this hypothesis, the objective of this study is analyze the behavior and injuries of drivers in the event of frontal impact under these abnormal driver position. Based on the KNCAP frontal impact testing method, this simulation matrix was set-up with dummies of 5 th tile female Hybrid III dummy and 50 th tile male Hybrid III dummy. The small sedan type passenger car was modeled in this simulation. The series of simulation was performed to compare the injuries and behaviour of each dummy, varying the seating status and seat position of each dummy.

• Journal of Information Technology Applications and Management
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• 제31권3호
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• pp.39-52
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• 2024

The development of autonomous driving technology is expected to bring about a major change in the mobility rights of the transportation vulnerable. It is very important to identify user requirements in developing autonomous vehicles and service technologies for the transportation vulnerable. User requirements were derived for the wheelchair disabled and the walking disabled. Through focus interviews, a total of 58 requirements were derived for wheelchair-using disabled people and 53 requirements for walking disabled people. A Kano survey was conducted on 33 wheelchair disabled and 34 walking disabled. After that, the quality types of functional requirements in terms of autonomous vehicles and service environment development were analyzed using the Kano model. Priority analysis was conducted on the functions required by the wheelchair disabled and the walking disabled. The results of this study can be used as basic data to determine the priorities of user function requirements in the early stages of autonomous vehicle and service technology development.

• 한국항해항만학회지
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• 제35권2호
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• pp.167-172
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• 2011

The motivation of this study is the recent advancement of the Straddle Carrier (S/C). Previously Straddle Carrier (S/C) system was used focusing on container lift on/off due to its lower driving speed than that of (Y/T). Shuttle Carrier is evaluated as an upgraded Straddle Carrier. Recently, however, the driving speed of (S/C) has been improved to the level of Yard Tractor and Trailer systems (Y/T), which is 30Km per hour which makes (S/C) qualified as terminal in-yard transportation equipment. This paper, therefore, aims to evaluate three types of terminal in-yard transportation equipments such as (Y/T), (AGV) and the advanced (S/C) from economic perspective. The results revealed that by observing the total costs of equipment, (S/C) is a cheaper option than (Y/T) over 20 years, and than (AGV) over 6 years.

• 한국ITS학회 논문지
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• 제16권6호
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• pp.244-257
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• 2017

교통혼잡은 운전자의 인지반응시간, 운전미숙, 무리한 차로변경 등 인적요인으로부터 발생된다. 자율주행자동차가 도입되면 이러한 인적요인들이 배제되고 군집주행으로 인해 평균주행속도 상승, 교통흐름 안정화, 도로용량 증대 효과가 예상된다. 본 연구는 자율주행자동차도입으로 인한 교통흐름 변화를 교통량-밀도-속도 산포도 그래프를 통해 분석하고, 도로용량 증대 효과를 도출하였다. 분석 결과, 자율주행자동차의 혼입율이 높아질수록 교통량-밀도-속도의 그래프 곡선이 완화되며, 폭이 줄어들어 교통류가 안정적으로 변화하였다. 또한 자율주행자동차 혼입율 100%에서는 도로용량이 약 120% 증대되는 것으로 분석되었다. 자율주행자동차 도입으로 인한 교통혼잡개선 및 교통수요관리 측면에서 긍정적인 기대효과가 있을 것으로 분석되었다.

• Journal of information and communication convergence engineering
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• 제11권4호
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• pp.274-281
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• 2013

In this study, we consider the challenges in motion planning for automated driving systems. Most of the existing online motion-planning algorithms, which take dynamics into account, find it difficult to operate in an environment with narrow passages. Some of the existing algorithms overcome this by offline preprocessing if environment is known. In this work an online algorithm for motion planning with dynamics in an unknown cluttered environment with narrow passages is presented. It utilizes an idea of hybrid planning with sampling- and discretization-based motion planners, which run simultaneously in a full configuration space and a derived reduced space. The proposed algorithm has been implemented and tested with a real autonomous vehicle. It provides significant improvements in computational time performance over basic planning algorithms and allows the generation of smoother paths than those generated by the recently developed hybrid motion planners.

• 한국ITS학회 논문지
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• 제17권6호
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• pp.84-95
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• 2018

자율주행 과실 여부 판단 위한 방법으로 수학적인 모형인 responsibility-sensitive safety(RSS)를 제시된 이후로 자율주행 관련 산업으로부터 많은 관심을 받고 있다. 하지만, 이러한 수학적 모형이 자율주행자동차가 관련된 교통사고 발생 시 책임소재를 명확히 하는 데 활용될 수 있는 지에 대한 종합적인 검토는 부족한 실정이다. 본 연구에서는 RSS 모형의 적용성과 활용을 위해서 추가적으로 해결되어야 할 사항에 대하여 분석하였다. 결론적으로 RSS 모형을 활용하기에는 모형식 자체 및 수용성 등에 한계가 있으며, RSS 모형을 실무적으로 사용하려고 한다면 자율주행자동차의 반응시간을 정의하고, 자율주행자동차별로 적절한 기술수준에 따라서 반응시간 값을 측정하고 관리할 필요가 있는 것으로 판단된다.