列車運行シミュレーションによる輸送障害時の予期せぬ遅延の抽出手法

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: 2018/02/01

タイトル(英語): Extraction Algorithm for Unpredictable Delays in Train Traffic Disruption Using Train Operation Simulation

著者名: 加藤　怜（（公財）鉄道総合技術研究所），坂口　隆（（公財）鉄道総合技術研究所），中村　達也（西日本旅客鉄道（株）），岸下　義秀（西日本旅客鉄道（株））

著者名(英語): Satoshi Kato (Railway Technical Research Institute), Takashi Sakaguchi (Railway Technical Research Institute), Tatsuya Nakamura (West Japan Railway Company), Yoshihide Kishishita (West Japan Railway Company)

キーワード: 列車遅延，運転整理，予期せぬ遅延，遅延抽出，シミュレーション，実績ダイヤデータ　　train delay，train rescheduling，unpredictable delay，extraction of delay，simulation，resultant timetable data

要約(英語): When train traffic is disrupted by accidents or technical problems, train dispatchers need to make a rescheduling plan taking train cancellation and/or changes of rolling stock allocation into account based on prior experiences. However, unpredictable events such as a temporal train congestion can cause additional delays owing to which train traffic does not recover as expected. Although we need to analyze various types of factors that cause unpredictable delays in order to prevent or reduce their impact, it is very difficult to analyze all of them in detail because there are several delays in actual situations where train traffic is disrupted. In this paper, we present an algorithm for extraction of unpredictable delays with original and resultant train timetable data using train operation simulation. The simulation model is based on PERT and critical path method. We apply the proposed algorithm to several actual disruption cases and are able to extract unpredictable delays that need to be analyzed further, for the determination of causative factors.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.138 No.2 （2018） 特集：J-RAIL 2016

本誌掲載ページ: 76-83 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/138/2/138_76/_article/-char/ja/