Thursday, March 22, 2018
2:30 p.m. – 3:30 p.m. Central

Room 102
Mechanical Engineering Building
University of Minnesota
111 Church Street SE
Minneapolis, MN

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About the Presentation

For at least 15 years, it has been recognized that pre-crash data captured by event data recorders (EDRs) might help illuminate the actions of drivers prior to crashes. In left-turning crashes where pre-crash data are available from both vehicles, it should be possible to estimate features such as the location and speed of the opposing vehicle at the time of turn initiation and the reaction time of the opposing driver. However, difficulties arise from measurement errors in pre-crash data and because the EDR data from the two vehicles are not synchronized, and the resulting uncertainties should be accounted for.

This presentation will describe a method for accomplishing this using Markov Chain Monte Carlo computation. First, planar impact methods are used to estimate the speeds at impact of the involved vehicles. Next, the impact speeds and pre-crash EDR data are used to reconstruct the vehicles’ trajectories during approximately five seconds preceding the crash. Interpolation of these trajectories is then used to estimate speeds and distances at critical times. The method will be illustrated using several cases from the NASS/CDS database.

About the Speaker

Gary Davis

Gary Davis is a professor in the Department of Civil, Environmental, and Geo- Engineering at the University of Minnesota. His research interests include causal inference and impact assessment in traffic safety; the application of accident investigation and reconstruction methods to traffic engineering questions; the use of Bayesian statistical methods in traffic and transportation engineering; and the application of optimization methods to problems in traffic engineering and transportation planning.


Watch the webcast

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More Information

There is no cost to attend, and registration is not required. For more information, please contact Chelsea Arbury at or 612-626-2862.

Parking and Transit

Parking is available at the Washington Avenue Ramp, the Church Street Garage, or the University Avenue Ramp. For transit information, please visit the Metro Transit website or call 612-373-3333.