• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2007년도 춘계학술대회 학술발표 논문집 제17권 제1호
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• pp.245-250
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• 2007

We have proposed Fuzzy-CBR to find a solution from past knowledge retrieved from the database and adapted to a new situation. However, ontology is needed in identifying concepts, relations and instances that are involved in a situation in order to improve and facilitate the efficient retrieval of similar cases from the CBR database. This paper proposes the way to apply ontology fur identifying the concepts involved in a new case, used as inputs, for a ship collision avoidance support system and in solving for similarity through document articulation and abstraction levels. These ontologies will be used to build a conceptual model of a maneuvering situation.

• 한국정보통신학회논문지
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• 제16권6호
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• pp.1133-1140
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• 2012

우리나라의 지능형 교통체계(ITS)는 "국가통합교통체계효율화법"에 근거한 ITS 사업시행지침 및 각 ITS 표준에 의하여 구축되고 있다. 그러나 주요 ITS 설비에 대한 기술적 특징과 시공 구축에 대한 기술기준이 마련되어 있지 않은 채, 단 몇 개의 사업시행지침과 정보교환기술에 치우쳐 있는 ITS 표준만으로는 스마트한 지능형 교통체계(ITS) 구축을 기대하기 어렵다. 따라서 본 논문에서는 현행 법적 제도의 현황 및 문제점을 파악하고 스마트한 지능형 교통체계(ITS) 구축을 위한 기술기준 제정의 필요성에 대하여 살펴보기로 한다.

• 산업경영시스템학회지
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• 제20권43호
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• pp.91-97
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• 1997

The objective of a traffic management system is to promote safe driving, low pollution, short travel time, and optimized traffic flow by naturally distributing the flow of traffic through the use of suitable telecommunications media. Such traffic management systems will be improved by integrating dynamic traffic data and two-way communication media because cars can work as sensors. The purpose of this paper is to help organizations trying to select the correct telecommunications media for minimal-cost investment options without loss of functionality. The wireless communications for an intelligent transportation system (ITS) are introduced in this paper. We describe which kind of telecommunication media are suitable. FM broadcast type media or cellular phone can be recommended to provide real time traffic and roadway conditions in the first stage of ITS, because existing broadcast base station or cellular network facilities can be used. It is expected that cellular radio network or satellites are used for communication. Finally, the strategy and deployment plan of an ITS are described based on selections of telecommunication media in Korea.

• 한국자동차공학회논문집
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• 제23권1호
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• pp.1-10
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• 2015

In urban area, since multipath and signal attenuations frequently occur due to street trees, street lights and buildings, it is difficult to obtain accurate navigation solution using GPS. As these problems also impact negatively on the INS/GPS coupled system, implementing advanced transportation systems such as autonomous navigation system and Intelligent Transportation System (ITS) become quite hard. For this reason, to alleviate deterioration of navigation system performance in urban area, direction information extraction algorithm using vision system is proposed in this paper. 2D Finite Rate of Innovation (FRI) technique is applied to extract lane edges. The proposed technique is simulated using road images and feasibility of proposed technique is analyzed through the simulation results.

• 기술표준
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• 통권41호
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• pp.32-34
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• 2005

• 한국ITS학회:학술대회논문집
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• 한국ITS학회 2007년도 제6회 추계학술대회 및 정기총회
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• pp.214-218
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• 2007

• 한국ITS학회 논문지
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• 제23권4호
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• pp.67-76
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• 2024

본 연구는 기존 지자체 단위로 한정되어 지역 내에서만 운영한 긴급차량 우선신호 시스템을 지역 경계를 넘어 광역단위로 운영할 수 있는 긴급차량 우선신호시스템에 대한 운영평가를 수행하였다. 긴급차량의 출동데이터와 통행속도 데이터를 활용하여 광역 및 지역 긴급차량 운행시 통행속도 단축률을 분석하였다. 고양시 지역출동은 50.8%, 광역출동은 55.8% 단축되었고, 파주시 지역출동은 55.1%, 광역출동은 62.5% 단축되었다. 응급구조시 주변 큰 병원이 없는 경우 파주시에서 고양시로 출동이 많은 것을 확인하는 등 광역 긴급차량 우선신호시스템은 지역 경계를 벗어나 긴급차량이 출동때 효과성이 입증되었다. 본 연구를 통해 광역 긴급차량 우선신호시스템의 확산에 도움을 주고자 한다.

• 한국ITS학회 논문지
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• 제10권5호
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• pp.60-70
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• 2011

전기버스를 대상으로 교통-전력-시설 통합 정보통신 네트워크 통신방식을 선정하기 위하여 최신기술 동향과 정확성, 안정성, 경제성의 선정요인을 기준으로 차량위치검지 및 무선통신방식을 GPS, CDMA, WLAN 방식으로 설계한다. 또한, 효율적인 연계를 위하여 대안별 주요 특징을 검토하고, 방안별 기술적 난이도와 정책적 행정적 난이도 및 비용타당성의 선정요인을 기준으로 Spoke & Hub 연계방식, 즉, 교통융합충전센터와 교통센터, 스마트 그리드센터를 각각 연계토록 연계방안을 수립한다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제13권4호
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• pp.315-323
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• 2013

Vessel Traffic Service (VTS) is being used at ports and in coastal areas of the world for preventing accidents and improving efficiency of the vessels at sea on the basis of "IMO RESOLUTION A.857 (20) on Guidelines for Vessel Traffic Services". Currently, VTS plays an important role in the prevention of maritime accidents, as ships are required to participate in the system. Ships are diversified and traffic situations in ports and coastal areas have become more complicated than before. The role of VTS operator (VTSO) has been enlarged because of these reasons, and VTSO is required to be clearly aware of maritime situations and take decisions in emergency situations. In this paper, we propose a prediction table to improve the work of VTSO through the Cognitive Work Analysis (CWA), which analyzes the VTS work very systematically. The required data were collected through interviews and observations of 14 VTSOs. The prediction tool supports decision-making in terms of a proactive measure for the prevention of maritime accidents.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.145-152
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• 2021

In the Recent times, various technological enhancements in the field of artificial intelligence and big data has been noticed. This advancement coupled with the evolution of the 5G communication and Internet of Things technologies, has helped in the development in the domain of smart mine construction. The development of unmanned vehicles with enhanced and smart scheduling system for open-pit mine transportation is one such much needed application. Traditional open-pit mining systems, which often cause vehicle delays and congestion, are controlled by human authority. The number of sensors has been used to operate unmanned cars in an open-pit mine. The sensors haves been used to prove the real-time data in large quantity. Using this data, we analyses and create an improved transportation scheduling mechanism so as to optimize the paths for the vehicles. Considering the huge amount the data received and aggregated through various sensors or sources like, the GPS data of the unmanned vehicle, the equipment information, an intelligent, and multi-target, open-pit mine unmanned vehicle schedules model was developed. It is also matched with real open-pit mine product to reduce transport costs, overall unmanned vehicle wait times and fluctuation in ore quality. To resolve the issue of scheduling the transportation, we prefer to use algorithms based on artificial intelligence. To improve the convergence, distribution, and diversity of the classic, rapidly non-dominated genetic trial algorithm, to solve limited high-dimensional multi-objective problems, we propose a decomposition-based restricted genetic algorithm for dominance (DBCDP-NSGA-II).