Cycling Safety: From Crash Data Analysis to a Naturalistic Cycling Study

The CCAT Research Review returns with a bicycle safety study led by Shan Bao, Ph.D. & Fred Feng, Ph.D. from the University of Michigan!

TICKETS

https://www.eventbrite.com/e/cycling-safety-from-crash-data-analysis-to-a-naturalistic-cycling-study-tickets-187687928647?aff=eand

DETAILS

The safety issues of cycling have become an increasing concern. This presentation, led by Drs. Shan Bao and Fred Feng, describes two unique studies related to cycling safety, from crash data analysis to a recent naturalistic cycling study in Ann Arbor, Michigan. The Crash Report Sampling System data was used in this study to identify significant factors that impact cyclists’ crash injury levels. In the naturalistic cycling study, a fleet of four electric bikes was instrumented with cameras and GPS and was given to study participants as a substitute for their own bicycle. A total of over 5,000 miles of riding data from 77 subjects were collected over two years. The dataset could be used for studying the interactions between motorists and cyclists on real-world roadways.

More about this research: https://myumi.ch/jxl0N

The event is finished.

Date

Oct 27 2021
Expired!

Time

2:30 pm - 3:30 pm

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