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Traffic Inj Prev. 2018 Jul 4;19(5):513-517. doi: 10.1080/15389588.2018.1440082. Epub 2018 May 9.

Motorcycle crashes potentially preventable by three crash avoidance technologies on passenger vehicles.

Author information

1
a Insurance Institute for Highway Safety , Arlington , Virginia.

Abstract

OBJECTIVE:

The objective of this study was to identify and quantify the motorcycle crash population that would be potential beneficiaries of 3 crash avoidance technologies recently available on passenger vehicles.

METHODS:

Two-vehicle crashes between a motorcycle and a passenger vehicle that occurred in the United States during 2011-2015 were classified by type, with consideration of the functionality of 3 classes of passenger vehicle crash avoidance technologies: frontal crash prevention, lane maintenance, and blind spot detection. Results were expressed as the percentage of crashes potentially preventable by each type of technology, based on all known types of 2-vehicle crashes and based on all crashes involving motorcycles.

RESULTS:

Frontal crash prevention had the largest potential to prevent 2-vehicle motorcycle crashes with passenger vehicles. The 3 technologies in sum had the potential to prevent 10% of fatal 2-vehicle crashes and 23% of police-reported crashes. However, because 2-vehicle crashes with a passenger vehicle represent fewer than half of all motorcycle crashes, these technologies represent a potential to avoid 4% of all fatal motorcycle crashes and 10% of all police-reported motorcycle crashes.

DISCUSSION:

Refining the ability of passenger vehicle crash avoidance systems to detect motorcycles represents an opportunity to improve motorcycle safety. Expanding the capabilities of these technologies represents an even greater opportunity. However, even fully realizing these opportunities can affect only a minority of motorcycle crashes and does not change the need for other motorcycle safety countermeasures such as helmets, universal helmet laws, and antilock braking systems.

KEYWORDS:

Motorcycle crashes; automatic emergency braking; blind spot detection; crash avoidance technology; crash type; forward collision warning; highway safety; lane departure warning; lane-keeping assist; motorcycle safety

PMID:
29624413
DOI:
10.1080/15389588.2018.1440082
[Indexed for MEDLINE]

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