Title

Avoiding Collision in Automated Driving Situation

Published In

Theoretical Issues in Ergonomics Science

Document Type

Citation

Publication Date

3-1-2020

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 vehicles and the systems performance for the given available sight distance (ASD) viewed as a non-random variable and with consideration of the drivers human capacity factor (HCF). The general concepts are illustrated by numerical examples.

Description

Copyright © 2020 Informa UK Limited

DOI

10.1080/1463922X.2020.1729895

Persistent Identifier

https://archives.pdx.edu/ds/psu/32797

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