Avoiding collision in automated driving situation
Suhir, E., and Paul, G. (2021) Avoiding collision in automated driving situation. Theoretical Issues in Ergonomics Science, 22 (3). pp. 251-260.
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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: | 40 ENGINEERING > 4002 Automotive engineering > 400204 Automotive safety engineering @ 50% 40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400703 Autonomous vehicle systems @ 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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