• 한국항만학회지
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• 제5권1호
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• pp.29-54
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• 1991

In this study, to identify the ineffectiveness of inter-connected system of cargo volume between the Pusan Port and inland areas and also to make more rational suggestions, the following conclusions were drawn by analyzing Container Cargo Traffic from BCTOC to Off-Dock CY: 1. There existed about 30% to 50% reduction in the container transport times when the container transport vehicles were operated during the off-peak period to alleviate the traffic congestion due to mixed traffic. 2. There appeared to be more economic when Off-Dock DY's scattered around the City of Pusan were unified in one ODCY Unit at YangSan, and the Exclusive Overpass Freeway System for the container transport vehicles were constructed and operated on the existing Urban Freeway from BCTOC ti this ODCY Unit (Expected to make about 230 billions Won in net present value by NPV method).

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권6호
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• pp.1462-1477
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• 2024

With the evolving complexity of connected vehicle features, the volume and diversity of data generated during driving continue to escalate. Enabling data sharing among interconnected vehicles holds promise for improving users' driving experiences and alleviating traffic congestion. Yet, the unintentional disclosure of users' private information through data sharing poses a risk, potentially compromising the interests of vehicle users and, in certain cases, endangering driving safety. Federated learning (FL) is a newly emerged distributed machine learning paradigm, which is expected to play a prominent role for privacy-preserving learning in autonomous vehicles. While FL holds significant potential to enhance the architecture of the Internet of Vehicles (IoV), the dynamic mobility of vehicles poses a considerable challenge to integrating FL with vehicular networks. In this paper, a novel clustered FL framework is proposed which is efficient for reducing communication and protecting data privacy. By assessing the similarity among feature vectors, vehicles are categorized into distinct clusters. An optimal vehicle is elected as the cluster head, which enhances the efficiency of personalized data processing and model training while reducing communication overhead. Simultaneously, the Local Differential Privacy (LDP) mechanism is incorporated during local training to safeguard vehicle privacy. The simulation results obtained from the 20newsgroups dataset and the MNIST dataset validate the effectiveness of the proposed scheme, indicating that the proposed scheme can ensure data privacy effectively while reducing communication overhead.

• 문화기술의 융합
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• 제4권3호
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• pp.227-233
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• 2018

최근 차량에 부착된 센서와 컴퓨터를 통해 주변 환경을 감지하고 주변 차량들과 감지한 환경 데이터를 주고 받는 커넥티드 카 환경에 대한 연구가 활발하게 진행되고 있다. 하지만 커넥티드 카 환경을 구성하기 위해서는 차량이 주변 환경을 감지하기 위한 다양한 센서들과 도로 주변 기기들이 요구되며, 수집된 데이터를 전송하기 위한 통신기술이 요구된다. 따라서, 본 논문에서는 모바일 디바이스에 탑재되어 있는 센서를 통해 주변 환경의 데이터를 수집하고 통신하는 모바일 가상 펜스를 적용하여 커넥티드 카 서비스 환경이 구성되기 이전에 출시된 차량들도 추가비용 없이 커넥티드 카 서비스를 제공받을 수 있는 메커니즘을 제안하고 실험을 통해 가능성을 보여준다.

• ETRI Journal
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• 제37권2호
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• pp.273-282
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• 2015

Vehicle-to-grid presents a mechanism to meet the key requirements of an electric power system, using electric vehicles (EVs) when they are parked. The most economic ancillary service is that of frequency regulation, which imposes some constraints regarding the period and duration of time the vehicles have to be connected to the grid. The majority of research explores the profitability of the aggregator, while the perspective of the EV fleet owner, in terms of their need for usage of their fleet, remains neglected. In this paper, the optimal allocation of available vehicles on a day-ahead basis using queuing theory and fuzzy multi-criteria methodology has been determined. The proposed methodology is illustrated on the daily scheduling of EVs in an electricity distribution company.

• 대한임베디드공학회논문지
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• 제13권2호
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• pp.93-100
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• 2018

In this paper, we present a novel scheme of data transmission for logistics vehicles connected with 3G mobile communication networks. The proposed method enhances the efficiency of data transmission by varying the packet transmission period according to the vehicle speed and by reducing the amount of transmitted data using a reduced packet structure. The main contribution is to present the experimental verification in which the proposed method is applied to commercial logistics vehicles that operate with networked data transmission modules. Being compared with the existing method, the proposed scheme shows superior performance in terms of data reduction and transmission speed.

• Journal of Electrical Engineering and Technology
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• 제9권2호
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• pp.452-460
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• 2014

Due to increased concerns for rising oil prices and environmental problems, various solutions have been proposed for solving energy problems through tightening environmental regulations such as those regarding $CO_2$ reduction. Among them, Electrical Vehicles (EVs) are evaluated to be the most realistic and effective approach. Accordingly, research and development on EVs and charging infrastructures are mainly proceeding in developed countries. Since EVs operate using electric energy form a battery, they must be connected to the power system to charge the battery. If many EVs are connected during a short time, power quality problems can occur such as voltage sag, voltage unbalance and harmonics which are generated from power electronics devices. Therefore, when EVs are charged, it is necessary to analyze the effect of power quality on the distribution system, because EVs will gradually replace gasoline vehicles, and the number of EVs will be increased. In this paper, a battery for EVs and a PWM converter are modeled using an ElectroMagnetic Transient Program (EMTP). The voltage sag and unbalance are evaluated when EVs are connected to the distribution system of the Korea Electric Power Corporation (KEPCO). The simulation results are compared with IEEE standards.

• 한국컴퓨터정보학회논문지
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• 제26권3호
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• pp.69-75
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• 2021

차량 통신 코어 네트워크 기술로 TCP/IP의 한계는 차량의 잦은 이동성, 간헐적 통신 연결 요구의 증가, 차량 해킹 가능성의 상시적 존재에 기인한다. VNDN 기술은 IP/ID와 같은 차량 식별자 없이도 컨텐트 이름 정보를 이용해 찾고자 하는 컨텐트 전송을 가능하게 한다. 또한 단대단 연결 통신이 아닌 간헐적 연결 기반 통신이 가능하며 Interest 패킷과 Data 패킷 두 종류의 패킷을 이용해 컨텐트 이름 기반의 포워딩에 기반하여 데이터 자체가 통신의 주체가 되어 네트워킹의 실현이 가능하다. VNDN 환경하에서 인포테인먼트 서비스 실현을 위해 해결해야 할 이슈 중 하나는 데이터 브로드캐스트에 기인한 데이터 트래픽 폭증 현상이다. 본 논문에서는 이러한 데이터 브로드캐스트 폭증 현상을 경감시켜 주기 위한 기존 포워딩 기법들을 분석하고 비교한다. 이를 통해 VNDN 환경하에서 데이터 폭증 현상 해결을 위한 최선의 데이터 경감 기법 제시를 위한 요구사항을 도출하여 분석한다. 이를 기반으로 향후 컨넥티드 차량을 위한 VNDN 에서 데이터 브로드캐스트 폭증을 해결하기 위한 보다 향상된 포워딩 기법 연구를 위한 사전 지식으로 활용되어질 수 있기를 기대한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권11호
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• pp.4573-4594
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• 2020

Announcement protocol in Internet of Vehicles (IoV) is an intelligent application to enhance public safety, alleviate traffic jams and improve transportation quality. It requires communication between vehicles, roadside units and pedestrian to disseminate safety-related messages. However, as vehicles connected to internet, it makes them accessible globally to a potential adversary. Safety-related application requires a message to be reliable, however it may intrude the privacy of a vehicle. Contrarily, if some misbehaviour emerges, the malicious vehicles must be able to traceable and revoke from the network. This is a contradiction between privacy and accountability since the privacy of a user should be preserved. For a secure communication among intelligent entities, we propose a novel announcement protocol in IoV using group signature. To the best of our knowledge, our work is the first comprehensive construction of an announcement protocol in IoV that deploys group signature. We show that our protocol efficiently solves these conflicting security requirements of message reliability, privacy and accountability using 5G communication channel. The performance analysis and simulation results signify our work achieves performance efficiency in IoV communication.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 춘계학술대회
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• pp.722-723
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• 2017

본 연구에서는 커넥티드 자동차(Connected Car, ConnCar)의 주행 효율 향상을 위한 교통신호 제어에 초점을 맞추고 있다. 이를 위한 세부 연구 범위는 다음과 같다. i) ConnCar 간의 상황 정보 공유, ii) 게임이론 기반의 협상을 통한 의사결정

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.115.5-115
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• 2002

In this paper, we introduce a system that detects all kinds of violations at a street intersection such as red light running, speed violation, stop line violation and lane violation by tracking individual vehicles. Two cameras are used for defecting violations. One is an analog camera for real-time tracking and the other is a digital camera for license plate reading. This system is connected to the traffic signal system controller and monitors the red, arrow, yellow and green phases of an approach. Two loops in the road are used to detect vehicle approach and speed. The system takes pictures of all vehicles passing a second loop and tracks the vehicles until they go out a street intersection...