• Review of KIISC
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• v.31 no.4
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• pp.17-21
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• 2021

최근 자율주행차량등의 활발한 기술 개발 및 상용화가 추진되고 있다. 차량통신기술은 자율주행차량이 주변 환경을 보다 정확하고 상세하게 인지하기 위하여 그 필요성이 강조되고 있는 실정이다. 이러한 차량통신기술의 활용성이 증대됨에 따라, 보안 위협에 대응하기 위한 보안 기술도 활발히 연구 개발 추진 중이며, 이와 연관된 국제표준화의 필요성도 부각되고 있다. IT 보안 국제표준화 기구인 ITU-T SG17에서는 최근 연구반 구조 조정을 진행했으며, ITS(Intelligent Transport System) 보안 연구반(Q13)은 지속적으로 차량통신표준화를 추진한다. 본 논문에서는 ITS 보안 연구반의 최근 활동 및 진행 계획을 소개한다.

• Review of KIISC
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• v.33 no.4
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• pp.83-87
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• 2023

차량통신기술은 차량 간, 차량과 인프라 간 정보 교환을 가능하게 함으로써, 센서 기반의 자율 주행 차량의 센서로 인한 한계점을 보완할 수 있는 자율주행의 구현 요소 기술이다. 이러한 차량통신기술의 활용성이 증대됨에 따라, 보안 위협에 대응하기 위한 보안 기술도 활발히 연구 개발 추진 중이다. 또한, 이와 연관된 국제표준화의 필요성도 부각되고 있다. ICT 보안 국제표준화 기구인 ITU-T SG17에서는 ITS(Intelligent Transport Systems) 보안 연구반(Q13)에서 지속적으로 차량통신 표준화를 추진하고 있다. 본 논문에서는 ITS 보안 연구반의 최근 활동 및 표준화 진행 계획을 소개한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.269-271
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• 2022

이 연구는 상선 해기사 인력의 수요를 단순평균법과 추세분석 및 시계열분석을 통혜 예측하고, 예측치와 실적치들을 비교하여 수요 예측방법들의 예측 정확도를 평가하였으며, 마이코프 분석을 활용하여 직급별로 인력구성의 변화요인을 고려하여 공급을 예측하고 인력부족을 진단하였다. 그리고 자율운항선 도입과 현실적인 공급확대 방안 실행이 부족인력 감소에 미치는 영향을 분석하여 해기사 인력 수급 대책의 타당성과 효과를 평가하였다.

• Disaster Prevention Review
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• v.18 no.4
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• pp.65-73
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• 2016

본 내용은 '16년 3월 11일 국가과학기술심의회 의결안건인 "제2차 재난 및 안전관리기술개발 종합계획 수정(안)"에 대한 소개자료입니다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.172-191
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• 2023

This study was undertaken to strategize the mixed traffic operation of autonomous vehicles in the pilot zone. This was achieved by analyzing the changes expected when autonomous vehicles are mixed in the autonomous vehicle pilot zone. Although finding a safe and efficient traffic operation strategy is required for the pilot zone to serve as a test bed for autonomous vehicles, there is no available operation strategy based on the mixture of autonomous vehicles. In order to presents a traffic operation strategies for each period of autonomous vehicle introduction, traffic efficiency and safety analysis was performed according to the autonomous vehicle market percentage rate. Based on the analysis results, the introduction stage was divided into introductory stage, transition period, and stable period based on the autonomous vehicle market share of 30% and 70%. This study presents the following traffic operation strategies. Considering the traffic flow operation strategy, we suggest the advancement of the existing road infrastructure at the introductory stage, and operating an autonomous driving lane and the mileage system during the transition period. We also propose expanding the operation of autonomous driving lanes and easing the speed limit during the stable period. In the traffic safety strategy, we present a manual and legal system for responding to autonomous vehicle accidents in the introductory stage, an analysis of the causes of autonomous vehicle accidents and the implementation of preventive policies in the transition period, and the advancement of the autonomous system and the reinforcement of the security system during the stable period. Through the traffic operation strategy presented in this study, we foresee the possibility of preemptively responding to the changes of traffic flow and traffic safety expected due to the mixture of autonomous vehicles in the autonomous vehicle pilot zone in the future.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.377-381
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• 2006

본 연구는 효율적 재난대응체계 구축을 위한 네트워크체계를 구축하고자 일본과 한국의 재난 대응 사례를 비교 분석하였다. 일본의 경우 중앙정부와 지방자치단체 및 민간NGO간 상호 네트워크에 의해서 협력적으로 재난에 대응하고 있으나, 한국의 경우 각 부문간 네트워크 협력체계 구축이 미약하여 더 많은 재난피해를 불러일으키고 있었다. 따라서 한국은 재난 대응을 효율적으로 수행하기 위해서 국가재난대응 통합 네트워크 체계를 마련하고, 민간협력체계 확립과 함께 민간NGO가 자율적으로 참여할 수 있는 시스템의 마련이 시급히 요구된다.

• Journal of Advanced Navigation Technology
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• v.23 no.4
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• pp.296-301
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• 2019

Artificial intelligence is closely linked to our real lives, leading innovation in various fields. Especially, as a means of transportation possessing artificial intelligence, autonomous unmanned vehicles are actively researched and are expected to be put into practical use soon. Autonomous cars and autonomous unmanned aerial vehicles are required to equip accurate navigation system so that they can find out their present position and move to their destination. At present, the navigation of transportation that we operate is mostly dependent on GPS. However, GPS is vulnerable to external intereference. In fact, since 2010, North Korea has jammed GPS several times, causing serious disruptions to mobile communications and aircraft operations. Therefore, in order to ensure safety in the operation of the autonomous unmanned vehicles and to prevent serious accidents caused by the intereference, rapid situation judgment and countermeasure are required. In this paper, based on big data and machine learning technology, we propose a countermeasure system for GPS interference that supports decision making by applying John Boyd's OODA loop cycle (detection - direction setting - determination - action).

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.5
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• pp.183-196
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• 2022

Public transportation accessibility has been evaluated through minimum level of service for public transportation. However it is evaluated based operators rather than users. This study analyzed the users' accessibility(first-mile, last-mile) to public transportation using altteul transport card data. As a result of user's accessibility of public transportation, rural areas was lower than that in the urban areas. This study calssified type 1 and 2 based average approach time, and average approach time of Type 1 and 2 were more than average approach time of total area. We propsed an efficient introduction of autonomous public transportation on-demand service using delphi survey. As a result of delphi survey, experts agreed on 9 items regarding function, service item, route operation, approach distance, route mileage, punctuality.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.217-228
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• 2024

LiDAR(Light Detection And Ranging) sensors, which play a pivotal role among cameras, RADAR(RAdio Detection And Ranging), and ultrasonic sensors for the safe operation of autonomous vehicles, can recognize and detect objects in 360 degrees. However, since LiDAR sensors use lasers to measure distance, they are vulnerable to attackers and face various security threats. In this paper, we examine several security threats against LiDAR sensors: relay, spoofing, and replay attacks, analyze the possibility and impact of physical jamming attacks, and analyze the risk these attacks pose to the reliability of autonomous driving systems. Through experiments, we show that jamming attacks can cause errors in the ranging ability of LiDAR sensors. With vehicle-to-vehicle (V2V) communication, multi-sensor fusion under development and LiDAR anomaly data detection, this work aims to provide a basic direction for countermeasures against these threats enhancing the security of autonomous vehicles, and verify the practical applicability and effectiveness of the proposed countermeasures in future research.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.2
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• pp.62-73
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• 2022

As the competition among the autonomous vehicle (AV, here after) developers are getting fierce, Korean government has been supporting developers by deregulating safety standards and providing financial subsidies. Recently, some OEMs announced their plans to market Lv3 and Lv4 automated driving systems. However, these market changes raised concern among public road management sectors for monitoring road conditions and alleviating hazardous conditions for AVs and human drivers. In this regards, the authors proposed a methodology for monitoring road infrastructure to identify hazardous factors for AVs and categorizing the hazards based on their level of impact. To evaluate the degrees of the harm on AVs, the authors suggested a methodology for managing road hazard factors based on vehicle performance features including vehicle body, sensors, and algorithms. Furthermore, they proposed a method providing AVs and road management authorities with potential risk information on road by delivering them on the monitoring map with node and link structure.