TxDOT Research Project

Implications of Automated Vehicles on Safety, Design and Operation of the Texas Highway

Project Summary
This project seeks to quantify crash-related gains of various vehicle automation and connectivity features, by first documenting all demonstrated and emerging technologies, then anticipating Texans’ adoption rates of such technologies (for both personal and commercial uses). And simulating crash contexts under various technology, network design, and traffic management techniques. The research team will document the state of research and development in automated and connected vehicle (AV and CV) technologies, and evolve the Texas fleet and its daily use under market (price, technology. demographics, and land use) scenarios. The research team will be able to anticipate the near-term and long-term impacts (e.g., those emerging in less than 15 years and those emerging over 25 years or more. respectively) on Texas crash counts and severities, and identify the spectrum of economic, institutional and other outcomes that may come from a near-crashless roadway system. The team will identify the best practices for TxDOT and other agencies to most cost-effectively facilitate Texas' adoption and use of top technologies. The research team will apply comprehensive benefit-cost analyses, and provide TxDOT staff with training on the topics and project results and recommendations. to facilitate project implementation.

Project Number
0-6849
Status
Completed

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Start Date
1/15/2015
End Date
8/31/2016
Performing Institution(s)
Center for Transportation Research (CTR)
Research Team
RS: Kara Kockelman
Sponsor
Project Manager
Darrin Jensen
Amount Funded
FY15: $128,733
FY16: $191,411
Page:
Functional Area
Safety and Operations
Index Terms
Automation
Benefit cost analysis
Highway safety
Infrastructure
Intelligent vehicles
Mobile communication systems
Simulation
Traffic crashes
Lead University
CTR
Researcher
Kockelman, Kara
See Also
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Comments
Record Added:
3/12/2015
Record Updated:
7/28/2023 5:31 AM EDT

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Texas Department of Transportation Research and Technology Implementation Division (RTI)


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