乗り心地と省エネルギーを考慮したマルコフ決定過程による列車走行曲線最適化

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2014/10/01

タイトル(英語): Markov Decision Process-based Run Curve Optimization for Energy Saving and Ride Comfort

著者名: 木村　彩恵（三菱電機（株）先端技術総合研究所），吉本　剛生（三菱電機（株）先端技術総合研究所），上田　健詞（三菱電機（株）先端技術総合研究所），高橋　理（三菱電機（株）先端技術総合研究所），Daniel Nikovski（Mitsubishi Electric Research Laboratory）

著者名(英語): Sae Kimura (Advanced Technology R&D Center, Mitsubishi Electric Corporation), Koki Yoshimoto (Advanced Technology R&D Center, Mitsubishi Electric Corporation), Kenji Ueda (Advanced Technology R&D Center, Mitsubishi Electric Corporation), Satoru Takahashi (Advanced Technology R&D Center, Mitsubishi Electric Corporation), Daniel Nikovski (Mitsubishi Electric Research Laboratory)

キーワード: 列車走行曲線最適化，マルコフ決定過程，動的計画法，運転支援，自動列車運転装置　　Run curve optimization，Markov decision process，Dynamic programming，Driver assistance，Automatic train operation

要約(英語): This paper addresses train run curve optimization problem considering both energy saving and ride comfort. Based on our previous work, we present MDP-RCO, a method to solve minimum-energy run curves by Dynamic programming. The method achieves a fast computation by modeling the problem with a Markov decision process (MDP). Also, we propose two extended methods of MDP-RCO, which we call MDP-RCO-JERK and MDP-RCO-COUNT in order to reduce run mode fluctuation for ride comfort improvement. MDP-RCO-JERK uses an evaluation function defined by the weighted sum of time, energy consumption and jerk, and MDP-RCO-COUNT prohibits the state transition more than some times in a small section. We have confirmed that MDP-RCO would solve optimal run curves fast enough, and that MDP-RCO-COUNT would reduce the mode fluctuation almost without losing energy optimality.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.134 No.10 （2014） 特集：インタラクティブ映像メディアの最前線

本誌掲載ページ: 1577-1583 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/ieejeiss/134/10/134_1577/_article/-char/ja/