本文を読む／探す
抄録
鉄道の自動出改札システム(AFC: Automatic Fare Collection system)は,高密度輸送におけるピーク時の乗降客に対応するための高速性と金券である乗車券を処理するため高信頼性が不可欠である.しかし,無線通信方式のICカード乗車券は旅客の使用方法に依存するため,データの読み取りの不確実,不完全が発生する(これを「データ抜け」と呼ぶ).東日本旅客鉄道株式会社のSuicaシステムでは「データ抜け」が発生してもシステムを止めることなく,データの信頼性を確保できるように「自律分散整合化技術」を導入していたが,その有効性を評価する手法を持たなかった.そこで,東京工業大学森研究室との連携のもと,自律分散整合化技術の有効性を評価する手法として,機能信頼性評価法を研究し,その評価技術を確立した.この結果,得られた最適パラメータをSuicaシステムに導入し,その有効性を実証した.
The Automatic Fare Collection system (AFC) requires both high performance and high reliability; high performance is necessary to handle the congested passengers during the peak time and high reliability cannot be neglected because the tickets are as valuable as cash. However, the IC card ticket system with wireless communications depends on the way of passengers' behavior, which causes serious problems called "data lacks." In order to assure the reliability of the data in case of "data lacks" without stopping the system, the Autonomous Decentralized Data Consistency Technology has been installed to the Suica system in East Japan Railway Company. However, the evaluation method had not been prepared. This paper, in cooperation with Mori Laboratory, Tokyo Institute of Technology, evaluates the effectiveness of the Autonomous Decentralized Data Consistency Technology by Functional Reliability and optimizes it. This optimization has been installed to the Suica system and performs very well.
