集約車両感知器情報による故障検出手法の検討

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門

発行日: 2017/04/01

タイトル(英語): Failure Detection Method using Aggregated Vehicle Detector Data

著者名: 岩岡　浩一郎（パナソニック システムネットワークス（株）），弘津　雄三（パナソニック システムネットワークス（株））

著者名(英語): Koichiro Iwaoka (Panasonic System Networks Co., Ltd.), Yuzo Hirotsu (Panasonic System Networks Co., Ltd.)

キーワード: 故障検出，集約データ，車両感知器　　failure detection，aggregated data，vehicle detector

要約(英語): Vehicle detectors play an indispensable role in traffic management and control systems (TMCS). The data collected via vehicle detectors are used to fulfill various functions such as signal control and traffic information provision. In Japan, TMCS use mainly ultrasonic detectors. Owing to their aged deterioration, their detection accuracy gradually reduces over many years, and thus their efficient operation and maintenance requires accomplished engineers. In recent years, it has become difficult to maintain great numbers of ultrasonic detectors because of the financial constraints in public resources and shortfall of accomplished engineers. In this paper, we propose failure detection methods, and confirm their validity by using actual data. First, we propose an aggregation method of detector data for classifying installation positions, and validate the method by using large amount of data. Moreover, we propose a few failure detection methods with the aggregated data, and compare their decision results by using the actual data.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.137 No.4 （2017）

本誌掲載ページ: 318-325 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejias/137/4/137_318/_article/-char/ja/