• Annual Conference of KIPS
• /
• 2000.10a
• /
• pp.661-664
• /
• 2000

본 연구에서는 인터넷을 기반으로 하고 GIS(Geographical Information System)와 ITS(Intelligent Transportation System)제어 응용을 고려 한 컴퓨팅 플랫폼으로 EIMAS(Efficient and Intelligent Multi-Agent System)을 제안한다. GIS 와 관련 활용 시스템들은 개방형 지리 정보 처리 상호 운용 개념이 확산되면서 물리적으로 분산된 환경을 가지지게 되었고 이러한 분산 환경에서 프로그램개발과 사용자의 요구에 서비스를 효과적으로 제공하기 위하여, GIS와 이와 연계한 GI(Geographical Information) 활용시스템들의 각기 다른 구성 요소들을 통합하는 시스템이 요구된다. GIS 와 GIS Application으로 ITS(Intelligent Transportation System)위한 Java Mobile Agent와 Multiple Agent System 인 EIMAS를 플렛폼으로 제안한다. 이 시스템은 GIS 시스템과 ITS 시스템에 제공되는 Agent가 활동하는 플레이스 위에서 에이전트가 목적과 워크에 적합한 효율적인 워크플로우를 생성하여 시간 효율적이고 지능적인 분산. 병렬처리를 수행하는 플렛폼을 설계한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.22 no.3
• /
• pp.104-115
• /
• 2023

User-centered public transportation services such as DRT, Autonomous Transit etc. have been provied but current minimum level of service for public transportation has been evaluated by the operator because there is no data on user's accessibility to use public transportation. This study was performed GRID analysis using altteul transport card data including user's accessibility to use public transportation. The analysis result showed that user's accessibility to use public transportation was different within a same dong area. We proposed improving minimum level of service for public transportation considered by the user. The result of applying the proposed method showed that many area was changed to unsatisfied area for minimum level of service for public transportation

• Proceedings of the IEEK Conference
• /
• 2003.07d
• /
• pp.1299-1302
• /
• 2003

In this paper, we propose new method which can provide user the path to the target place efficiently. It stores the state of roads to target place as the form of Q-table and finds the proper path using Q-table.0-table is updated by the information about real traffic which is reported by users. This method can provides the proper path, using less storage and less computation time than the conventional method which stores entire road traffic information and finds the path by graph search algorithm.

• Annual Conference of KIPS
• /
• 2000.10a
• /
• pp.359-362
• /
• 2000

ITS(Intelligent Transportation System)는 도로와 차량 등 기존 교통의 구성요소에 첨단의 전자.정보.통신 기술을 적용시켜 교통시설을 효율적으로 운영하여 통행자에게 유용한 정보를 제공하여 안전하고 편리한 통행과 전체 교통체계의 효율성을 기할 수 있는 기술이다. 이러한 ITS의 핵심기술로는 데이터베이스, 메시지 집합 분야통신방식 분야, 소프트웨어 개발 분야, 교통정보관리 분야, 기타관련 분야 등이 있으며 본 논문에서는 이와 같은 기술의 국내외 시장현황 및 표준화 현황 등에 관하여 상술하고자 한다.

• Proceedings of the IEEK Conference
• /
• 2000.07b
• /
• pp.773-776
• /
• 2000

Traffic monitoring plays an important role in intelligent transportation systems. It can be used to collect real-time traffic data concerning traffic flow. Passive shadows resulted from roadside buildings or trees and active shadows caused by moving vehicles, are one of the factors that arise errors in vision based vehicle detection. In this paper, a land mark based method is proposed for vehicle detection and shadow rejection, and finally vehicle count are achieved based on the land mark detection method.

• 한국ITS학회:학술대회논문집
• /
• 2003.11a
• /
• pp.73-75
• /
• 2003

• 한국ITS학회:학술대회논문집
• /
• 2010.05a
• /
• pp.1-4
• /
• 2010

• 한국ITS학회:학술대회논문집
• /
• v.2007 no.10
• /
• pp.266-269
• /
• 2007

• 한국ITS학회:학술대회논문집
• /
• 2002.11a
• /
• pp.125-128
• /
• 2002

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.16 no.4
• /
• pp.225-237
• /
• 2016

In conventional transportation problem (TP), all the parameters are always certain. But, many of the real life situations in industry or organization, the parameters (supply, demand and cost) of the TP are not precise which are imprecise in nature in different factors like the market condition, variations in rates of diesel, traffic jams, weather in hilly areas, capacity of men and machine, long power cut, labourer's over time work, unexpected failures in machine, seasonal changes and many more. To counter these problems, depending on the nature of the parameters, the TP is classified into two categories namely type-2 and type-4 fuzzy transportation problems (FTPs) under uncertain environment and formulates the problem and utilizes the trapezoidal fuzzy number (TrFN) to solve the TP. The existing ranking procedure of Liou and Wang (1992) is used to transform the type-2 and type-4 FTPs into a crisp one so that the conventional method may be applied to solve the TP. Moreover, the solution procedure differs from TP to type-2 and type-4 FTPs in allocation step only. Therefore a simple and efficient method denoted by PSK (P. Senthil Kumar) method is proposed to obtain an optimal solution in terms of TrFNs. From this fuzzy solution, the decision maker (DM) can decide the level of acceptance for the transportation cost or profit. Thus, the major applications of fuzzy set theory are widely used in areas such as inventory control, communication network, aggregate planning, employment scheduling, and personnel assignment and so on.