차량 분류를 위한 적응 지능 알고리즘에 관한 연구

• 영문명: A Study of Adaptive Intelligent Algorithm for the Vehicle Class to Determine
• 발행기관: 한국산업기술융합학회(구. 산업기술교육훈련학회)
• 저자명: 염의종(U i-Jong Youm)
• 간행물 정보: 『산업기술연구논문지』산업기술교육훈련논문지 제18권 1호, 61~66쪽, 전체 6쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2013.03.30

영문 초록

In this paper, improve transportation efficiency, reduction of logistics costs through the promotion of driving safety and relieve congestion of the existing road network, by using information technology, communications technology, sensor technology and control technology, including for the purpose of a comprehensive system research for the chance to hit for error the intelligent transportation system (ITS). ITS to its the most information, road information and traffic information is accurate and real-time traffic information gathering system that collects one of the most important factors. Induction sensors used to detect minor traffic information collected from the system, the measured values using fuzzy logic, rules based on past measured data and empirical or logical human knowledge base of existing induction sensor errors who set the record straight.

목차

Ⅰ. 서 론

Ⅱ. 본론

Ⅲ. 결론

키워드

Information Technology 정보기술 Communications Technology 통신기술 Sensor Technology 센서기술 ITS 교통정보시스템 Fuzzy Logic 퍼지논리