• Transportation Technology and Policy
• /
• v.4 no.2
• /
• pp.140-147
• /
• 2007

• Proceedings of the KOR-KST Conference
• /
• 2007.02a
• /
• pp.514-517
• /
• 2007

• Transportation Technology and Policy
• /
• v.3 no.2
• /
• pp.120-134
• /
• 2006

• Transportation Technology and Policy
• /
• v.4 no.1
• /
• pp.94-102
• /
• 2007

• Proceedings of the KOR-KST Conference
• /
• 2001.02a
• /
• pp.135-155
• /
• 2001

• Computational Structural Engineering
• /
• v.32 no.1
• /
• pp.15-24
• /
• 2019

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.19 no.1
• /
• pp.121-131
• /
• 2020

Current traffic information is collected through a loop detector or an image detector. This method is influenced by weather and time, so a traffic information generation system is needed to replace it. A system for generating traffic information using a smartphone in a vehicle is proposed and the performance of the proposed method is verified through the collection rate and the travel time error rate obtained through field tests. In addition, we propose an algorithm for generating intersection traffic information for each direction of rotation, suggest ways to increase the amount of valid information, and confirm the results.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.12
• /
• pp.41-53
• /
• 2009

In this paper, we propose the system structure and technologies to implement a business model for an intelligent traffic facility management system based on ubiquitous technology. The business model includes the service functions, service structure, business process, and demand and supply relationship among the participants in this model. We also propose an approach to implementing the model. This includes the network, infrastructure and platform to be used for system composition. We then present the results from an analysis by comparison of different technologies and an adequate technology structure. Finally, this paper may present guidelines to managing traffic facilities.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2024.01a
• /
• pp.343-345
• /
• 2024

얼굴 연령 분류 기법은 신원 확인 시스템 고도화, 유동 인구 통계 자동화 시스템 구축, 연령 제한 콘텐츠 관리 시스템 고도화 등 다양한 분야에 적용할 수 있는 확장 가능성을 가진다. 넓은 확장 가능성을 가지는 만큼 적용된 시스템의 안정성을 위해서는 얼굴 연령 분류 기법의 높은 정확도는 필수적이다. 따라서, 본 논문에서는 Vision Transformer(ViT) 기반 분류 알고리즘의 얼굴 연령 분류 성능을 비교 분석한다. ViT 기반분류 알고리즘으로는 최근 널리 사용되고 있는 ViT, Swin Transformer(ST), Neighborhood Attention Transformer(NAT) 세 가지로 선정하였으며, ViT의 얼굴 연령 분류 정확도 65.19%의 성능을 확인하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.8 no.6
• /
• pp.165-172
• /
• 2008

The decisive factor for the popularization of telematics services in the future isn the ability to produce advanced service that match the needs of drivers and passengers. The Dedicated Short Range Communication(DSRC)-type of wireless communication system, which is being developed for the Intelligent Transport System(ITS), is one of the broadband wireless systems contributing to the improvement of driver and passenger needs, such as convenience, entertainment, comfort and safety. In this paper, the possibility of applying this system to the traffic information collection service will be explored. Further, a description of the service design for the traffic information collection system using electronic toll collection service will be provided, in the knowledge that the existence of information communication equipment mounted vehicles will remain.