Abstract
According to the Automated Driving Roadmap ERTRAC 17, only vehicles of Level 5 may not need human interference. The current adaptive cruise control system or more advanced automated driving solutions below Level 5 require, therefore, that a human driver takes over, if an extraordinary situation occurs. A critical safety problem may be caused by the very short time span available to the driver. It has been recently demonstrated, mostly in application to the aerospace domain, how probabilistic analytical modeling (PAM) could effectively complement computational simulation techniques in various human-in-the-loop (HITL) related missions and off-normal situations, when the reliability of the equipment (instrumentation), both hard- and software, and the performance of the human contribute jointly to their likely outcome. Our objective is to extend this approach, with appropriate modifications, to safety analyses of automated driving applications.
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Suhir, E., Paul, G., Kaindl, H. (2020). Towards Probabilistic Analysis of Human-System Integration in Automated Driving. In: Ahram, T., Karwowski, W., Vergnano, A., Leali, F., Taiar, R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham. https://doi.org/10.1007/978-3-030-39512-4_2
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DOI: https://doi.org/10.1007/978-3-030-39512-4_2
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