Bringing smart transport to Texans : ensuring the benefits of a connected and autonomous transport system in Texas—final report.

Details

• Creators:
  Kockelman, Kara M. ; Boyles, Stephen D. ; Avery, Paul ; Claudel, Christian ; Bansal, Prateek ; Loftus-Otway, Lisa ; Fagnant, Daniel ; Levin, Michael W. ; Zhao, Yong ; Liu, Jun ; Clements, Lewis ; Wagner, Wendy ; Stewart, Duncan ; Sharon, Guni ; Albert, Michael ; Fritz, Hagen ; Choudhary, Tejas ; Li, Tianxin ; Nichols, Aqshems ; Sharma, Kapil ; Simoni, Michele ; Hanna, Josiah ; Patel, Rahul ; Stone, Peter
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• Corporate Creators:
  University of Texas at Austin. Center for Transportation Research
• Corporate Contributors:
  Texas. Dept. of Transportation. Research and Technology Implementation Office ; United States. Federal Highway Administration
• Subject/TRT Terms:
  • Intelligent vehicles
  • Vehicle to infrastructure communications
  • Vehicle to vehicle communications
  • Mobile communication systems self-driving vehicles
  • connected vehicles
  • connected
  • autonomous vehicles
  • automated vehicles
  • smart
  • intersections
  More +
• Publication/ Report Number:
  FHWA/TX-16/0-6838-2
• Resource Type:
  Tech Report
• Geographical Coverage:
  Texas
• Corporate Publisher:
  Texas Department of Transportation. Research and Technology Implementation Office
• Abstract:
  Link to appendices is included. ; This project develops and demonstrates a variety of smart-transport technologies, policies, and practices for ; highways and freeways using connected autonomous vehicles (CAVs), smartphones, roadside equipment, and related ; technologies. The intent is to maximize the benefit of these technologies in terms of improved driver safety, reduced ; congestion, and agency cost savings. For example, in a well-implemented system, advanced CAV technologies may ; reduce current crash costs by at least $390 billion per year. A poorly implemented system could significantly detract ; from or reverse these benefits. ; The project’s Phase 1, documented in this report, showcased DSRC-instrumented vehicles for wrong-way driving ; alerts, vehicle guidance, and road-surface condition monitoring demonstrations. It developed algorithms for more ; accurate vehicle-position information and real-time traffic flow monitoring. It delivered statewide and national ; forecasts of fleet evolution, consumer preferences, and Texans’ opinions of CAV policies and technologies. It also ; simulated various strategies for smart ramp merges and smart intersection and network operations, under thousands of ; case settings, with calculated delay reductions. It anticipated emissions savings from more thoughtful automated ; driving and crash savings from more conflict-aware driving. It also analyzed the benefits of shared autonomous vehicle ; transit. Recommendations are provided for guiding TxDOT as technologies increasingly become available to the ; public, estimated to impact the U. S. economy by as much as $1.3 trillion per year. Recommendations focus on the ; need for increasing TxDOT in-house expertise, simulating new systems, developing policy, and updating design ; manuals.
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• Format:
  PDF
• Funding:
  0-6838
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/31847/dot_31847_DS1.pdf
• File Type:
  [PDF - 8.74 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:7b05da2115b71b438893f0f417e68e864a6ae7559d5c121254d0280c96d19e53657b25e3bd80b889d2293b2c21f2cf3bc78a99b59f3ff34af104de91246c1c8a