• Transportation Research Board

      TRB 98th Annual Meeting

      January 13–17, 2019

    • Interactive Program

2019

Annual Meeting Event Detail




Lectern Session 1359

U.S. DOT’s Safety Data Initiative: Visualizing and Using Data for Safety

Monday 3:45 PM- 5:30 PM
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Lectern | Spotlight Theme
Derek Kan, Office of the Secretary of Transportation (OST), presiding
Sponsored by:
Executive Committee (E0000)

Interested in the intersection where the technology and analytics marketplace meets the volume and variety of data for transportation safety? The U.S. Department of Transportation (DOT) created the Solving for Safety Visualization Challenge to advance the development and use of analytical visualization tools that can cast new light on the data to reveal insights into safety and prevention of serious crashes not seen through traditional analysis. In October, Secretary Chao announced five semi-finalists: Arity, Ford, Uber, University of Central Florida, and VHB.   

In the first of our two panels, the semi-finalists will highlight how their proposed tools could improve safety.   The second panel, consisting of safety decision makers and practitioners, will remark on the usefulness of the proposed visualization tools and discuss opportunities and potential barriers to implement those tools. Feedback from the stakeholders will help shape the development of future visualization tools.



No agenda available

Title Presentation Number
Safety Visualization Challenge Semi-Finalists
P19-21927
City Data Platform
Lauren Haynes, Arity
P19-21824
RoadCode
Bo Wang, Ford Motor Company
P19-21820
Real-Time Crash Risk Visualization Tools for Traffic Safety
Mohamed Abdel-Aty, University of Central Florida
P19-21822
U.S. DOT Safety with Uber’s kepler.gl
Jordan Gilbertson, Uber Technologies, Inc.
P19-21825
My Street
Kimberly Eccles, VHB
P19-21821
Safety Practitioners Panel Discussion
Jake Nelson, American Automobile Association (AAA)
Kyle Schneweis, Nebraska Department of Transportation
Elizabeth Wemple, HDR
Robert Wunderlich, Texas A&M Transportation Institute
P19-21933