Towards probabilistic analysis of human-system integration in automated driving

Suhir, Ephraim, Paul, Gunther, and Kaindl, Hermann (2020) Towards probabilistic analysis of human-system integration in automated driving. In: International Conference on Intelligent Human Systems Integration. pp. 9-14. From: IHSI 2020: Intelligent Human Systems Integration 2020, 19-21 February 2020, Modena, Italy.

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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.

Item ID: 63881
Item Type: Conference Item (Research - E1)
Keywords: human factors, human-systems integration, automated driving
Copyright Information: © Springer Nature Switzerland AG 2020
Date Deposited: 30 Jul 2020 02:41
FoR Codes: 40 ENGINEERING > 4002 Automotive engineering > 400204 Automotive safety engineering @ 50%
40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400702 Automation engineering @ 50%
SEO Codes: 92 HEALTH > 9205 Specific Population Health (excl. Indigenous Health) > 920504 Occupational Health @ 50%
88 TRANSPORT > 8801 Ground Transport > 880109 Road Safety @ 50%
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