As the maximum velocity of trains increases and the speed of human information processing remains constant, computer based decision aids are developed to solve this discrepancy. One of those aids, predictive aiding, helps the operator predicting the future speed of the train. This experiment reveals the influence of predictive aiding on performance and mental load of the human operator, doing two tasks. One task consists of following a predefined speed trajectory and the other task is making train stops as accurate as possible to a prescribed 'ideal' stopping point at the station. Experiments were done in a High Speed Train simulator, located at the John Volpe Transportation Systems Center in Cambridge. The simulator is developed in combination with the Human-Machine lab of the Massachusetts Institute of Technology.


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    Title :

    Predictive aiding in the control of high speed trains


    Contributors:


    Publication date :

    1997


    Size :

    9 Seiten, 5 Bilder, 2 Tabellen, 4 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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