• Proceedings of the Korea Information Processing Society Conference
• /
• 2008.05a
• /
• pp.637-639
• /
• 2008

현재 스케줄러는 입력해 놓은 스케줄 시간에 대한 알람 서비스를 해주지만, 알람 서비스만으로는 약속 시간, 약속 장소로 이동해야하는 스케줄 관리를 위해서는 부족하다. 본 시스템은 최근에 주목 받고 있는 매쉬업 기술을 이용한 지능형 스케줄러를 구현하였다. 날씨 정보와 교통 정보를 이용하여 해당장소까지의 교통 정보와 해당 위치의 날씨 등을 스케줄에 추가해 새로운 서비스를 제공해준다.

• Information and Communications Magazine
• /
• v.24 no.12
• /
• pp.74-77
• /
• 2007

경로안내와 제3의 인터넷 공간이라는 초기의 수동적인 서비스 개념으로부터 유비쿼터스 사회를 이루어나가는 요소기술로서의 텔레매틱스는 기술적 성숙기를 보내고 통과하며 점차 차세대 지능형 자동차 기술 및 지능형 교통정보시스템과 같은 차량 기술과 접목되면서 좀 더 안전하고 편리한 주행환경 내 정보화로 나아가고 있다. 이러한 방향에 발맞추어 현재 진행되고 있는 국내외 텔레매틱스 서비스 플랫폼 기술 및 표준화 현황을 소개하고 국내 산업체에서 향후 추진 전략 수립에 참고가 되도록 나아갈 방향을 제시하였다.

• Proceedings of the KIEE Conference
• /
• 2011.07a
• /
• pp.1246-1247
• /
• 2011

지능형교통시스템(ITS) 구축 사업을 통해 수집된 소통정보, 대중교통정보 등의 교통관련 정보를 제공하기 위한 방법으로 교통정보 안내전화(ARS)를 적용하여 도로 이용자에게 교통정보를 제공하고 있다. 도로 이용자에게 보다 편리한 교통정보 서비스를 제공하기 위한 일환으로 교통정보 안내전화(ARS)에 음성인식을 적용하고 있다. 그러나 초기 ARS에 음성인식을 적용한 결과 음성인식 성공률은 상당히 높은 것으로 나타났으나, 이용자가 증가하여 샘플링 수가 증가함에 따라 음성 인식 성공률은 점차 저하되고 있는 실정이다. 이를 해결하기 위한 방안으로 충분한 샘플링을 확보하여 주기적이고 지속적인 음성인식에 대한 튜닝을 실시하여 음성인식에 대한 성공률을 향상 시킬 필요가 있다.

• Journal of Korean Society of Transportation
• /
• v.19 no.6
• /
• pp.19-31
• /
• 2001

In this paper, 3 layered architecture model and related design guidelines are proposed, which have been actually applied in our national ITS-Architecture design. The domain architecture as the 1st layer is to structure all ITS related domains for maximizing the co-operability in national level. The logical architecture as the 2nd layer is to structure all ITS related application-systems for minimizing duplications, conflicts and dead-zones in service level and maximizing the co-operability in application-system level. The physical architecture as the 3rd layer is to structure all IT(Information Technology) related physical resources for maximizing.

• Journal of Korea Multimedia Society
• /
• v.13 no.2
• /
• pp.171-178
• /
• 2010

The surveillance system in general, has been sufficiently studied in the field of wireless semiconductor using basic sensors and its study of image surveillance system mainly using camera as a sensor has especially been fully implemented. In this paper, we propose 'Intelligent Image Detection System' used by image object identification technique based on the result analysis of various researches. This 'Intelligent Image Detection System' can easily trace and judge before and after a particular incident and ensure affirmative evidence and numerous relative information. Therefore, the 'Intelligent Image Detection System' proposed in this paper can be effectively used in the lived society such as traffic management, disaster alarm system and etc.

• Journal of the Korean Society for Railway
• /
• v.6 no.1
• /
• pp.73-79
• /
• 2003

The Korean high speed railroad is scheduled to open in 2004. For railroad-based integrated transfer system, it is essential to develop the intermodal information system for easy transfer to other travel modes. The understanding of mode choices by KTX passengers is crucial for the intermodal transportation planning. Recent development of Intelligent Transportation Systems(ITS) made it possible for railroad users to access the transportation information in a cabin or waiting areas at the station. Development of intermodal transportation information system will influence the relative demand for traveling by train from competing other transportation modes. The research is focused on a general overview of the ITS with an emphasis on intermodal transportation information system.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2019.05a
• /
• pp.8-9
• /
• 2019

해상교통과 같이 선박, 항해자, 관제센터, 해운선사, 기상시스템, 지리정보시스템 등의 높은 복잡도와 방대한 범위의 요구사항을 갖는 시스템의 M&S를 위해서는 인간을 포함한 체계가 필요하다. 디지털 환경에서 해상교통을 모의하기 위해서는 주요 요소인 인적요인에 대한 모델링 필요하며, 현실감 있는 해상교통 상황의 재현 및 예측을 위해 항해자의 인지과정, 행동양식, 항해전문성, 항해오류 등을 모델링하여 반영하는 것이 타당하다. 본 발표에서는 해상교통류 분석을 위한 지능형 선박 에이전트 개발을 위해 선박운항과 관련된 항해자의 인지 및 행동을 분석하고, 이를 통해 분석된 정보를 이용하여 항해자의 행동과 유사한 에이전트 기반의 인지 및 행동 모델 개발 내용을 소개하고자 한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.12 no.1
• /
• pp.109-114
• /
• 2012

Intelligent Transportation Systems (ITS) is aimed to implement IT(Information Technology) to develop the next-generation transportation system in order to improve traffic conditions. In order to provide traffic information, the methods that provide available traffic informations to the public are needed. In this paper, analysis of the transportation applications in smart-phone and currently available methods of traffic information's sharing and providing were discussed. Finally, OPEN API was discussed and shows its effectiveness for transportation information area especially in smart phone.

• Journal of the Korea Society of Computer and Information
• /
• v.15 no.8
• /
• pp.173-180
• /
• 2010

This research aims to enhance the security and safety of bicycle facilities by utilizing convergence technology of ubiquitous sensor network in the transportation system. To achieve the aim, U-bike system has developed by utilizing sensor network technology, and the serviceability and safety function of public facilities in the system have enhanced. This research also presents a plan for the construction of U-bike using ubiquitous sensor network and safety infrastructure of facilities by analyzing bicycle traffic reports and characteristics of service through studying the literature on the security of bicycles and the safety of facilities on bicycle lanes. The result of this research will contribute to the enhancement of safety function of bicycle lanes and facilities around National 4 major rivers bicycle lanes in the future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.10a
• /
• pp.317-319
• /
• 2021

In Korea, an intelligent transportation system(ITS) is established to efficiently operate traffic congestion on roads and is being used for traffic information collection and speed control systems. Currently, designated and dedicated lanes are in place to ensure traffic circulation and traffic safety, and systematic and accurate illegal vehicle crackdown systems with artificial intelligence technology are needed. In this study, we propose a vehicle number recognition model that can improve the efficiency of the traffic of designated vehicles. By applying computer vision technology, we are going to identify three-lane and four-lane multi-lane roads in real time and detect vehicle numbers by car to suggest ways to crack down on vehicles that violate the designated lane system.