PROBLEM TO BE SOLVED: To support operation management so as to secure a state of safe driving by adopting a machine learning method when analyzing drowsiness, appropriately predicting timing when a driver falls asleep, on the basis of information of a travel route and the like and issuing a prescribed warning.SOLUTION: An operation management support system according to the present invention includes: a storage section (a master DB) 214 for storing a prescribed master table a pre-analysis section 211c for performing pre-analysis of measurement data a primary analysis section 211d for performing primary analysis of the measurement data by referring to the master table and a secondary analysis section 211e for performing secondary analysis of the measurement data by referring to the master table. The operation management support system supports appropriate operation management on the basis of electroencephalogram of a driver.SELECTED DRAWING: Figure 7COPYRIGHT: (C)2018,JPO&INPIT【課題】眠気に関する分析を行うに際して機械学習の手法を取り入れて、運転者の居眠りのタイミングを走行ルート等の情報に基づいて適正に予測し、所定の警告を発する等して安全運転の状態を確保するよう運行管理を支援する。【解決手段】本発明の運行管理支援システムは、所定のマスタテーブルを保存した記憶部(マスタDB)214と、計測データについて事前分析を行う事前分析部211cと、前記計測データについて前記マスタテーブルを参照して1次分析を行う1次分析部211dと、前記計測データについて前記マスタテーブルを参照して2次分析を行う2次分析部211eと、を備え、運転者の脳波に基づく適正な運行管理支援を行うことを特徴とする。【選択図】図7
