United States Department of Transportation
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Safety of High-Speed Ground Transportation Systems: Human Factors Phase III: Effects of Control Automation on Operator Performance
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1998-04-01
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[PDF-4.37 MB]
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Alternative Title:Safety of High Speed Guided Ground Transportation Systems: Human Factors Phase III: Effects of Control Automation on Operator Performance
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Edition:Final Report July 1997
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Abstract:This report summarizes work done under an ongoing research program at the Volpe National Transportation Systems Center, RSPA/USDOT (Cambridge, MA) in collaboration with the Human-Machine Systems Laboratory at the Massachusetts Institute of Technology (Cambridge, MA), office of Research and Development, Federal Rail Administration (FRA/USDOT), the program is part of a comprehensive effort to identify and develop the technical information required for safety
regulation of high-speed guided ground transportation. This is a final report on one component of the overall research program. A companion report describes the theoretical development and experimental demonstration of the safety state model (Lanzilotta and Sheridan, 1996). The safety state model is a stochastic model of human-machine system behavior. The model utilizes a finite discrete Markov process to estimate the dynamic risk probability as a function of system state. The model is calibrated using observational data from an operational system. Application of the model is demonstrated through application to high-speed rail systems, using data obtained in the experiment described in this report. Thus, the control automation experiment has served a dual purpose. First, it is a human behavioral study in the effects of control automation on human operator behavior in high-speed rail systems. Second, the experiment has served as a data generator for demonstration of a novel . technique for estimating dynamic risk probability.
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