Connected Motorcycle Crash Warning Interfaces

Song, Miao; Doerzaph, Zachary R. (Zachary Richard); McLaughlin, Shane B.; Virginia Tech Transportation Institute; University of Virginia. Center for Transportation Studies; Morgan State University

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Connected Motorcycle Crash Warning Interfaces

2016-01-15
By Song, Miao ; Doerzaph, Zachary R. (Zachary Richard) ; McLaughlin, Shane B.

[PDF-2.39 MB]

English

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Details:

Creators:

Song, Miao ; Doerzaph, Zachary R. (Zachary Richard) ; McLaughlin, Shane B.

Song, Miao ; Doerzaph, Zachary R. (Zachary Richard) ; McLaughlin, Shane B. Less -
Corporate Creators:

Virginia Tech Transportation Institute ; University of Virginia. Center for Transportation Studies ; Morgan State University

Virginia Tech Transportation Institute ; University of Virginia. Center for Transportation Studies ; Morgan State University Less -
Corporate Contributors:

United States. Dept. of Transportation. Research and Innovative Technology Administration ; University Transportation Centers Program (U.S.)

United States. Dept. of Transportation. Research and Innovative Technology Administration ; University Transportation Centers Program (U.S.) Less -
Subject/TRT Terms:

[+]

Crash Sensors Data And Information Technology Design Driver Support Systems Driver Vehicle Interfaces Highways Intelligent Transportation Systems Motorcycle Accidents Operations And Traffic Management Research Hub Safety And Human Factors Vehicle Safety Vehicles And Equipment
Resource Type:

Tech Report
Geographical Coverage:

United States
TRIS Online Accession Number:

01596728
Edition:

Final Report
Corporate Publisher:

University Transportation Centers Program (U.S.)
Abstract:

Crash warning systems have been deployed in the high-end vehicle market segment for some time and are trickling down to additional motor vehicle industry segments each year. The motorcycle segment, however, has no deployed crash warning system to date. With the active development of next generation crash warning systems based on connected vehicle technologies, this study explored possible interface designs for motorcycle crash warning systems and evaluated their rider acceptance and effectiveness in a connected vehicle context. Four prototype warning interface displays covering three warning mode alternatives (auditory, visual, and haptic) were designed and developed for motorcycles. They were tested on-road with three connected vehicle safety applications - intersection movement assist, forward collision warning, and lane departure warning - which were selected according to the most impactful crash types identified for motorcycles. It showed that a combination of warning modalities was preferred to a single display by 87.2% of participants and combined auditory and haptic displays showed considerable promise for implementation. Auditory display is easily implemented given the adoption rate of in-helmet auditory systems. Its weakness of presenting directional information in this study may be remedied by using simple speech or with the help of haptic design, which performed well at providing such information and was also found to be attractive to riders. The findings revealed both opportunities and challenges of visual displays for motorcycle crash warning systems. More importantly, differences among riders of three major motorcycle types (cruiser, sport, and touring) in terms of riders’ acceptance of a crash warning interface were revealed. Based on the results, recommendations were provided for an appropriate crash warning interface design for motorcycles and riders in a connected vehicle environment.
Format:

PDF
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:d446b7a513909236535a357e85f48499826274982aadff1dac66b80d21fba86e
Download URL:

https://rosap.ntl.bts.gov/view/dot/30671/dot_30671_DS1.pdf
File Type:

No Additional Files

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Connected Motorcycle Crash Warning Interfaces

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