Project 581: StreetSavvi: Complete Street AI Companion for Digital Twin Driving

Details

• Alternative Title:
  StreetSavvi: Complete Street AI Companion for Digital Twin Driving
• Creators:
  Guerra, Erick ; Loeb, Helen
• Corporate Creators:
  University of Pennsylvania
• Corporate Contributors:
  Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Digital twins
  • Driving simulators
  • Artificial intelligence
  • Geospatial data
  • Simulation
  • Transportation planning
  • Safety
  • Costs
  • Speed cameras
  • Quantitative metrics
  More +
• Publication/ Report Number:
  581
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Philadelphia (Pennsylvania)
• Edition:
  Final Report (July 1, 2025 - June 30, 2026)
• Corporate Publisher:
  Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC)
• Abstract:
  This project expands on the installation of speed cameras on the Roosevelt Blvd. Simulation and visualization tools allow the research team to partner with local stakeholders to assess the impact of various designs on multiple metrics such as traffic congestion, safety, cost. The StreetSavii framework provides a friendly AI based user interface for ideation to help with street design.
• Format:
  PDF
• Funding:
  69A3552344811 ; 69A3552348316
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/93520/dot_93520_DS1.pdf
• File Type:
  [PDF - 16.23 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:4f0734975ea8ac81409d6196229b3bf39cd2b959b276cfc1d9200348ba5aff663488735a68d52b0a1fcd49f59ba7cb3f14c2ca82988d4d0e8578e4c3e8f8debd