The future of fully automated vehicles : opportunities for vehicle- and ride-sharing, with cost and emissions savings.

Details

• Creators:
  Fagnant, Daniel ; Kockelman, Kara
• Corporate Creators:
  University of Texas at Austin. Center for Transportation Research
• Corporate Contributors:
  Southwest Region University Transportation Center (U.S.) ; United States. Dept. of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Intelligent vehicles
  • Vehicle sharing
  • Ridesharing
  • Pollutants
  • Travel demand
  • Vehicle miles of travel
  • Simulation
  • Costs
• Publication/ Report Number:
  SWUTC/14/600451-00081-1
• Resource Type:
  Tech Report
• Geographical Coverage:
  Texas
• Corporate Publisher:
  Texas A&M Transportation Institute
• Description:
  Fully automated or autonomous vehicles (AVs) hold great promise for the future of transportation. By 2020
  
  Google, auto manufacturers and other technology providers intend to introduce self-driving cars to the public with
  
  either limited or fully autonomous capabilities. AVs may be able to save the U.S. economy up to $37.7 billion in
  
  comprehensive costs from safety, mobility and parking improvements at the 10% market penetration, and potentially
  
  up to $447.1 billion with 90% market penetration. Even with only 10% market share, over 1,000 lives could be
  
  saved annually. However, realizing these potential benefits while avoiding potential pitfalls requires more than just
  
  technology advancements: significant barriers to a successful rollout include AV costs, liability, security, and
  
  privacy.
  
  Once fully self-driving vehicles can safely and legally drive unoccupied on U.S. streets, a new transportation
  
  mode for personal travel looks set to arrive. This new mode is the shared automated vehicle (SAV), combining on-demand service with self-driving capabilities. This work simulates a fleet of SAVs operating within the city of
  
  Austin, using Austin’s transportation network and travel demand flows. This model incorporates dynamic ride-sharing (DRS), allowing two or more travelers with similar origins, destinations and departure times to share a ride.
  
  Model results indicate that each SAV could replace around 10 conventionally-owned household vehicles while
  
  serving over 56,000 person-trips. SAVs’ ability to relocate while unoccupied between serving one traveler and the
  
  next may cause an increase of 4-8% more travel; however, DRS can result in reduced overall VMT, given enough
  
  SAV-using travelers willing to ride-share. SAVs should produce favorable emissions outcomes, with an estimated
  
  16% less energy use and 48% lower volatile organic compound (VOC) emissions, per person-trip formerly served by a
  
  household vehicle.
• Format:
  PDF
• Funding:
  DTRT12-G-UTC06
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28223/dot_28223_DS1.pdf
• File Type:
  [PDF - 2.02 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:a233609e7c7507efb054deced3263db074200b4e67c538e6e6099ebadcdf86cc