Automated Vehicle Crash Rate Comparison Using Naturalistic Data

Self-driving cars are quickly moving from prototype to everyday reality. During this transition, the question that is first and foremost on the mind of the public and policy makers is whether or not self-driving cars are more prone to crashes. This would seem to be an easy question to answer: simply compare current published crash rates with the data on self-driving cars. A deeper look at the available data and collection methodologies, however, reveals that such a simple comparison is problematic.
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Virginia Tech Transportation Institute students win Dwight David Eisenhower Transportation Fellowship Program awards

Blacksburg, Virginia, Sept. 25, 2015 – Two graduate students working with the Virginia Tech Transportation Institute have each won a scholarship award from the Dwight David Eisenhower Transportation Fellowship Program.
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