Avoiding Collision in Automated Driving Situation

Authors

Ephraim Suhir, Portland State UniversityFollow
Gunther Paul, James Cook University Australia

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 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.

Description

Copyright © 2020 Informa UK Limited

Locate the Document

http://doi.org/10.1080/1463922X.2020.1729895

DOI

10.1080/1463922X.2020.1729895

Persistent Identifier

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

Citation Details

Suhir, E., & Paul, G. (2020). Avoiding collision in automated driving situation. Theoretical Issues in Ergonomics Science, 1-10.