Avoiding collision in automated driving situation

Suhir, E., and Paul, G. (2020) Avoiding collision in automated driving situation. Theoretical Issues in Ergonomics Science. (In Press)

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Abstract

Automated driving (AD) is likely to encounter situations, when vehicle control is handed from the system to the human driver. Such situation may occur, e.g., when a steadfast obstacle is suddenly detected in front of the moving vehicle, and emergency breaking is the only way to avoid collision. Probabilistic analytical modeling (PAM) is applied in this analysis to model the vehicle’s and the system’s performance for the given available sight distance (ASD) viewed as a non-random variable and with consideration of the driver’s human capacity factor (HCF). The general concepts are illustrated by numerical examples.

Item ID: 62624
Item Type: Article (Research - C1)
ISSN: 1464-536X
Keywords: Human-in-the-loop (HITL); human-system-integration (HSI); driving safety; human capacity factor (HCF); probabilistic analytical modeling (PAM); mental workload (MWL); human capacity factor (HCF); emergency braking; driver-car handshake; autopilot
Date Deposited: 25 Mar 2020 02:39
FoR Codes: 09 ENGINEERING > 0902 Automotive Engineering > 090204 Automotive Safety Engineering @ 50%
09 ENGINEERING > 0913 Mechanical Engineering > 091303 Autonomous Vehicles @ 50%
SEO Codes: 88 TRANSPORT > 8801 Ground Transport > 880109 Road Safety @ 50%
86 MANUFACTURING > 8613 Transport Equipment > 861302 Automotive Equipment @ 50%
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