TxDOT Research Project

An Assessment of Autonomous Vehicles: Traffic Impacts and Infrastructure Needs

What Was the Need?
With partially automated vehicles (i.e., the Tesla Model S) already available to consumers, the transition to CAVs has begun. Automobile enterprises, researchers, and policymakers are interested in anticipating CAV adoption rates over time. The Texas Department of Transportation (TxDOT) needs to anticipate the adoption rates and benefits of various levels of vehicle automation and connectivity for both Texas households and businesses in order to support CAV adoption and system management through optimal policies and investments.

What's the Solution?
This work forecast Americans’ long-term (2015 to 2045) adoption levels of CAV technologies under eight different scenarios and made an assessment of the benefits, costs, and impacts for surface transportation systems. The researchers investigated how connected and (fully) automated vehicles (CAVs) can affect traffic congestion and travel demand, and developed best-practice recommendations for TxDOT.

Project Number
0-6847
Status
Completed

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Start Date
1/15/2015
End Date
12/31/2016
Performing Institution(s)
Center for Transportation Research (CTR)
Research Team
RS: Kara Kockelman
Sponsor
Project Manager
Darrin Jensen
Amount Funded
FY15: $126,625
FY16: $165,303
FY17: $49,460
Page:
Functional Area
Safety and Operations
Index Terms
Advanced vehicle control systems
Economic impacts
Intelligent vehicles
Mobile communication systems
Lead University
CTR
Researcher
Kockelman, Kara
See Also
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Comments
kevyn
kevyn
A project workshop will be held December 2, 2016 for interested TxDOT staff. WebEx option available for those who can not attend in Austin. http://ctr.utexas.edu/event/txdot-6847/
10/31/2016 at 1:50 PM
0
Record Added:
3/12/2015
Record Updated:
11/13/2023 11:34 AM EST

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