Implementation of Understanding the Impact of Autonomous Vehicles on Long-Distance Travel Mode and Destination Choice in Texas [Project Summary]

Details

• Creators:
  Kockelman, Kara ; Vellimana, Maithreyi ; Paithankar, Priyanka ; Mori, Kentaro
• Corporate Creators:
  University of Texas at Austin. Center for Transportation Research
• Corporate Contributors:
  Texas. Dept. of Transportation. Research and Technology Implementation Office ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Autonomous vehicles
  • Choice models
  • Distance
  • Forecasting
  • Freight transportation
  • Market penetration
  • Mode choice
  • Travel demand
  • Vehicle sharing
• Publication/ Report Number:
  5-7081-01
• Resource Type:
  Brief
• Geographical Coverage:
  Texas ; United States
• Edition:
  Project Summary Report
• Corporate Publisher:
  University of Texas at Austin. Center for Transportation Research
• Abstract:
  As privately owned and shared autonomous vehicles (AVs and SAVs) and automated trucks (ATrucks) become available, TxDOT and partner agencies must anticipate their travel, trade, emissions, cost, and other implications. Introducing these modes can significantly alter mode choices for passenger travel and freight and impact traffic volumes and congestion throughout the network. The researchers significantly modified TxDOT’s Statewide Analysis Model (SAM) to predict travel and traffic impacts of AVs, SAVs, and ATrucks on passenger and freight flows across Texas.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/76658/dot_76658_DS1.pdf
• File Type:
  [PDF - 385.24 KB]
• Collection(s):
  Autonomous Vehicles ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:bb3cd3c99a814dfb6b727e1298e0577f71adee000ba16a6011c5213ef6b95bd9d97227a3fa495026afe88beb7e3176085ccfbd7379bc5dfc2226a785d90f0ee8