運行実績データに基づく列車運行シミュレーションアルゴリズムによる遅延対策効果の推定

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: 2019/02/01

タイトル(英語): Train Traffic Simulation based on Analysis of Historical Train Traffic Records for Dense Railway Networks

著者名: 山村　明義（東京地下鉄（株）），富井　規雄（千葉工業大学情報科学部情報工学科）

著者名(英語): Akiyoshi Yamamura (Tokyo Metro Co., Ltd.), Norio Tomii (Department of Computer Science, Chiba Institute of Technology)

キーワード: 列車遅延，列車運行シミュレーション，運行実績データ　　train delay，train traffic simulation，historical train traffic records

要約(英語): One of the problems in urban railway lines in the Tokyo area is that minor delays occur quite often during morning rush hours. To prevent these minor delays from occurring, railway companies are attempting to employ various types of countermeasures. However, these countermeasures may be extremely expensive to implement and thus, it is critical to quantitatively evaluate the effectiveness of these countermeasures. To this end, train traffic simulations are used. In this paper, we introduce a novel simulation approach that uses historical train traffic records. In addition, we introduce a concept to determine the arrival times of trains by using primarily the running times whereas in existing research the arrival times were determined from the headway time. We determine a rule to estimate the running times from the interval of trains at the previous station. We validated our simulator by comparing the simulation results with actual train traffic data.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.139 No.2 （2019） 特集：ドローンとロボット組み込み/サスティナブルシステム

本誌掲載ページ: 206-214 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/139/2/139_206/_article/-char/ja/