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Efficacy of automatic emergency braking among risky drivers using counterfactual simulations from the SHRP 2 naturalistic driving study.

Authors :
Seacrist, Thomas
Sahani, Ridhi
Chingas, Gregory
Douglas, Ethan C.
Graci, Valentina
Loeb, Helen
Source :
Safety Science. Aug2020, Vol. 128, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

• AEB was very effective, preventing 83% of SHRP 2 rear-end striking crashes. • AEB was less effective during poor weather conditions. • AEB was less effective for crashes occurring at higher speeds. • Future AEB systems should account for poor weather conditions and higher speeds. Motor vehicle crashes remain a significant problem in the US and worldwide. Automatic emergency braking (AEB) is designed to mitigate the most common crash mode: rear-end striking crashes. However, assessing the efficacy of AEB in real-world crash scenarios is challenging given that avoided crashes are rarely documented except during naturalistic driving studies. In the absence of such data, AEB can be evaluated in real-world crash scenarios by retrospectively adding AEB to naturalistic crashes using counterfactual simulations. AEB was retrospectively applied to rear-end striking crashes (n = 40) from the SHRP 2 database among teen (16–19 yrs), young adult (20–24 yrs), adult (35–54 yrs), and older (70+ yrs) drivers. Real-world AEB deceleration profiles from IIHS AEB tests were paired with SHRP 2 vehicles based on vehicle make and class. AEB onset for SHRP 2 crashes was based on a brake threat number (BTN) algorithm. AEB curves were adjusted to match the speed of the vehicle at AEB onset. AEB deceleration curves were scaled based on road surface conditions. Driver reaction was accounted for by beginning the deceleration curve at the current driver-initiated braking level. Overall, AEB was found to be very effective, preventing 83% (n = 33) of rear-end striking crashes. However, AEB was less effective for crashes that occurred at higher speeds and during inclement weather conditions. These data provide a counterfactual evaluation of AEB that can be used by OEMs to prioritize AEB optimization for higher speed crashes and sub-optimal road conditions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09257535
Volume :
128
Database :
Academic Search Index
Journal :
Safety Science
Publication Type :
Academic Journal
Accession number :
143459301
Full Text :
https://doi.org/10.1016/j.ssci.2020.104746