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.
Predictive aiding in the control of high speed trains
1997
9 Seiten, 5 Bilder, 2 Tabellen, 4 Quellen
Conference paper
English
Predictive aiding in the control of High Speed Trains
British Library Conference Proceedings | 1997
|Model predictive control of active yaw damper for high-speed trains
British Library Conference Proceedings | 2023
|Optimal Operation of High-Speed Trains Using Hybrid Model Predictive Control
DOAJ | 2018
|SAE Technical Papers | 1937
|