列車ダイヤ乱れ時における経路選択支援システムとその受容性評価 Route Choice Support System for Passengers during Disruption of Train Operations and Its Acceptability Evaluation

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列車運行に支障が生じた場合には,利用者に的確な案内情報を迅速に提供することが求められる.我々は,ダイヤ乱れ時における各目的駅までの推定所要時間に基づいて各駅別に迂回の適否(運転再開を待つべきか,目的地への迂回経路をとるべきか)を判定し,利用者に案内するシステムを開発した.システムの開発にあたり,輸送障害が発生した線区における駅間所要時分の変化を見積もるモデルを考案し,これをダイヤ乱れ時の最短経路計算に応用した.また,システムの開発と並行して実施したダイヤ乱れ時における利用者行動調査の結果に基づいて,システムの要件やその運用のあり方を整理した.開発したシステムを用いて,実際のダイヤ乱れ時において,一般利用者を対象とした実証実験を実施した結果,提示された案内情報に従って移動した利用者の約65%が案内どおり,または案内よりも早めに目的地に到着することができた.システムの有用性については総じて高い評価が得られた.また,不確実性を含む予測情報であっても一定の確度があれば利用者に十分受容されることも確認した.When train operations are disrupted, it is important to provide passengers with information facilitating the rest of their journey. We developed a guidance system for users to determine whether they should wait for service to resume on the disrupted line, or take a detour route to their destination. Our system arrives at decisions after computing estimated travel times to specific stations in the area where train services are disrupted. We devised a model for estimating the amount of time required to travel between stations in the disrupted area. We have carried out a field test in which users use their cell phones to access the system and learn their route options during a disruption in train services. The result of the test has revealed that this system is effective 窶髏 for example, we have found that approximately 65% of all users taking the advice arrive at their destination at the same time as, or earlier than, the time estimated by the system and approximately 80% of them evaluated the system as useful. We conclude that even though the information represents only possible scenarios, and the degree of certainty is not 100%, it can be accepted and effectively utilized by passengers.

When train operations are disrupted, it is important to provide passengers with information facilitating the rest of their journey. We developed a guidance system for users to determine whether they should wait for service to resume on the disrupted line, or take a detour route to their destination. Our system arrives at decisions after computing estimated travel times to specific stations in the area where train services are disrupted. We devised a model for estimating the amount of time required to travel between stations in the disrupted area. We have carried out a field test in which users use their cell phones to access the system and learn their route options during a disruption in train services. The result of the test has revealed that this system is effective-for example, we have found that approximately 65% of all users taking the advice arrive at their destination at the same time as, or earlier than, the time estimated by the system and approximately 80% of them evaluated the system as useful. We conclude that even though the information represents only possible scenarios, and the degree of certainty is not 100%, it can be accepted and effectively utilized by passengers.

収録刊行物

  • 情報処理学会論文誌

    情報処理学会論文誌 49(2), 868-880, 2008-02-15

    一般社団法人情報処理学会

参考文献:  11件中 1-11件 を表示

被引用文献:  1件中 1-1件 を表示

各種コード

  • NII論文ID(NAID)
    110006613079
  • NII書誌ID(NCID)
    AN00116647
  • 本文言語コード
    JPN
  • 資料種別
    Journal Article
  • ISSN
    1882-7764
  • NDL 記事登録ID
    9381562
  • NDL 雑誌分類
    ZM13(科学技術--科学技術一般--データ処理・計算機)
  • NDL 請求記号
    Z14-741
  • データ提供元
    CJP書誌  CJP引用  NDL  NII-ELS  IPSJ 
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