• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.22 no.5
• /
• pp.30-42
• /
• 2023

Various studies have been conducted using microtraffic simulation (VISSIM) to analyze the safety of traffic flow when introducing autonomous vehicles. However, no studies have analyzed traffic safety in mixed traffic while considering the driving behavior of general vehicles as a parameter in VISSIM. Therefore, the aim of this study was to optimize the input variables of VISSIM for non-autonomous vehicles through genetic algorithms to obtain realistic behavior. A traffic safety analysis was then performed according to the penetration rate of autonomous vehicles. In a 640 meter section of US highway I-101, the number of conflicts was analyzed when the trailing vehicle was a non-autonomous vehicle. The total number of conflicts increased until the proportion of autonomous vehicles exceeded 20%, and the number of conflicts decreased continuously after exceeding 20%. The number of conflicts between non-autonomous vehicles and autonomous vehicles increased with proportions of autonomous vehicles of up to 60%. However, there was a limitation in that the driving behavior of autonomous vehicles was based on the results of the literature and did not represent actual driving behavior. Therefore, for a more accurate analysis, future studies should reflect the actual driving behavior of autonomous vehicles.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.10a
• /
• pp.1007-1010
• /
• 2019

주행 중인 자율주행차의 탑승자는 차량의 거동을 예측할 수 없기 때문에 불안함을 느낄 수 있으므로 차량의 거동 정보를 사전에 탑승자에게 전달하여 심리적 안정을 제공하는 것은 중요하다. 본 논문에서는 완전 자율주행 상황을 가정하여 자율주행 시스템이 발생시키는 주행 의도를 탑승자에게 전달하는 하드웨어 시스템을 제안한다. 제안하는 시스템은 자율주행차량이 사전에 생성된 경로를 따라 주행하면서 출발, 정지, 방향 전환 등과 같은 총 5 가지 상황에 대한 시각, 청각 및 촉각 알림을 통한 자율주행 의도 전달하는 것을 고려한다. 차량용 시트에 모터를 부착하여 촉각 알림을 통해 자율주행 의도를 전달 하였으며, 모니터를 통해 시각 및 청각 알림을 통해 자율주행 의도를 전달하였다. PC 에서 개발에 필요한 시뮬레이션 데이터를 처리하였으며, 시뮬레이션 환경에서 개발, 실험 및 평가가 진행되었다.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.20 no.5
• /
• pp.15-23
• /
• 2020

Automated driving car is drawing attention as a seminal service representing 4th industrial revolution era based on 5G network, AI, IOT and sensor technology. automated driving car is expected to evolve into the final level which does not require driver's input. Drivers are able to consume new additional time in private space. Many industries started to compete to control these time and space. Media industry is expecting quite big change due to the introduction of automated driving cars. This research examines the impact of the media industry and social & institutional issues of automated driving cars based on depth interviews of experts. The introduction of automated driving cars is giving new opportunity for media industry as contents provider. Telcos and IT corporations are expected to compete each other to get the control of infotainment systems of automated driving cars. The reform of current regulations regarding car driving is pointed as important task to protect private information and the introduction of automated driving cars.

• The Journal of the Convergence on Culture Technology
• /
• v.3 no.2
• /
• pp.49-54
• /
• 2017

In Korea, partial self-driving feature is added on Genesis G80, Tivoli 2017, and others, and full implementation is under evaluation. Tesla already completed test for full self-driving car, Tesla Model 'X'. Further adoption of self-driving car in market will bring benefits to the elderly and disabled, meanwhile traffic accident will be decreased. However, related regulations for traffic accident with autonomous car including ethical responsibility is not fully established yet. In addition, security and privacy issue of self-driving cars should be improved as well. In this paper, domestic researches and analysis status on autonomous car will be summarized, and proper activation model will be proposed for the previously described issues.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.21 no.4
• /
• pp.145-156
• /
• 2022

To strengthen the security of autonomous vehicles, this study derived checklists through the analysis of the status of autonomous vehicle security. The analyzed statuses include autonomous vehicle characteristics, security threats, and domestic and foreign security standards. The derived checklists are then applied to the AHP(Analytic Hierarchy Process) model to find their relative importance. Relative importance was ranked as one of cyber security management system establishment and implementation, encryption, risk assessment, etc. The significance of this study is to reduce cyber security incidents that cause human casualties as well improve the level of security management of autonomous vehicles in related companies by deriving the autonomous vehicle security level checklists and demonstrating the model. If the inspection is performed considering the relative importance of the checklists, the security level can be identified early.

• Broadcasting and Media Magazine
• /
• v.24 no.1
• /
• pp.56-62
• /
• 2019

MBC 기술연구소 산하 기술정보사업팀에서는 수 센티미터 이하의 오차정밀도를 요구하는 측지측량, 3D 건설기계 제어 등의 응용분야부터, 극도의 서비스 안정성을 요구하는 자율주행차, 드론 등의 응용분야에 걸쳐 정밀위치 보정정보를 제공하는 'MBC RTK' 상용서비스를 실시하고 있다. 본 고에서는 MBC의 정밀위치측위 서비스인 'MBC RTK' 서비스를 소개하고, 자율주행차의 적용적합성을 설명하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2023.07a
• /
• pp.607-609
• /
• 2023

본 논문은 인공지능과 자율 주행차의 현재 상황과 향후 전망에 대해 조사한 결과를 제시한다. 자율 주행차의 기술적 발전과 인공지능의 개발이 상호보완적으로 진행되며, 운전의 안전성과 효율성을 향상시키는 가능성이 크다. 본 연구는 자율 주행차와 인공지능의 상호작용을 탐구하고, 향후 연구 및 개발 방향을 제안한다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2017.07a
• /
• pp.17-18
• /
• 2017

본 논문은 스마트 팩토리의 중요 요소인 무인반송차(AGV)를 자율 주행시키기 위해 오픈 소스 자율 주행차 시뮬레이터인 udacity를 이용해 머신 러닝시키는 시스템을 개발하였다. 공장의 운행 루트를 자율주행 시뮬레이터의 전경으로 가공하고, 3개의 카메라를 부착시킨 AGV를 운행시키면서 머신 러닝시킨다. AGV를 주행하여 얻어진 여러 학습 데이터를 통해 도출된 결과들을 각각 비교하여 우수한 모델을 선정하고 운행시킨 결과 AGV가 정해진 운행 루트를 정확하게 주행하는 것을 확인하였다. 이를 통해, 가상 운행 환경에서 저비용으로 AGV 운행 학습이 가능하다는 것을 보였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2022.06a
• /
• pp.298-298
• /
• 2022

최최근 자율주행차의 안전한 주행을 보장하기 위한 모델 공식 기반 접근이 제시되고 있으며, 인텔-모빌아이의 RSS(responsibility-sensitive safety) 모델[1, 2]과 엔비디아의 SFF(Safety Force Field) 방법[2]이 주목받고 있다. 자율주행차 시뮬레이터을 이용하여 이러한 안전 주행 모델 적용의 효과와 역효과를 시뮬레이션하는 것은 자율주행 자동차와 제도의 개발에 매우 중요하다. 본 연구에서는 RSS와 SFF 모델을 살펴보고 이를 자율주행에 적용하기 위한 비교 연구 방법을 제안하고자 한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.22 no.5
• /
• pp.200-215
• /
• 2023

With the rapid advance of autonomous driving technology, the related vehicle market is experiencing explosive growth, and it is anticipated that the era of fully autonomous vehicles will arrive in the near future. However, along with the development of autonomous driving technology, questions regarding its safety and reliability continue to be raised. Concerns among technology adopters are increasing due to media reports of accidents involving autonomous vehicles. To promote the improvement of the safety of autonomous vehicles, it is essential to analyze previous accident cases and identify their causes. Therefore, in this study, we aimed to analyze the factors influencing the severity of autonomous vehicle accidents using previous accident cases and related data. The data used for this research primarily comprised autonomous vehicle accident reports collected and distributed by the California Department of Motor Vehicles (CA DMV). Spatial information on accident locations and additional traffic data were also collected and utilized. Given that the primary data used in this study were accident reports, a Poisson regression analysis was conducted to model the expected number of accidents. The research results indicated that the severity of autonomous vehicle accidents increases in areas with low lighting, the presence of bicycle or bus-exclusive lanes, and a history of pedestrian and bicycle accidents. These findings are expected to serve as foundational data for the development of algorithms to enhance the safety of autonomous vehicles and promote the installation of related transportation infrastructure.