Integration of Automated Vehicle Sensing with Adaptive Signal Control for Enhanced Mobility [supporting datasets]

Details

• Creators:
  Smith, Stephen F. ; Hawkes, Allen
• Corporate Creators:
  Mobility21, Carnegie Mellon University
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Autonomous vehicles
  • Data sharing
  • Field tests
  • Optimization
  • Routes and routing
  • Traffic delays
  • Traffic signal control systems
  • Traffic simulation
  • Vehicle to infrastructure communications
• DOI:
  https://doi.org/10.5281/zenodo.4500187
• Resource Type:
  Dataset
• Geographical Coverage:
  United States
• Corporate Publisher:
  Mobility21, Carnegie Mellon University
• Abstract:
  This repository contains the results produced by CMU-UTC Project 294, titled "Integration of Autonomous Vehicles with Adaptive Signal Control to Enhance Mobility." The data contains comparative results of a pilot experiment designed to demonstrate the traffic flow efficiency can be improved by vehicle-to-infrastructure communication and use of vehicle route information by a real-time adaptive traffic signal control system.
• Format:
  XLSX
• Funding:
  69A3551747111
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/60287/dot_60287_DS1.pdf
• File Type:
  [PDF - 118.93 KB]
• Collection(s):
  Autonomous Vehicles ; University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:9d933cbd56c57ec724a81b36e3d69de9a55977026ea9c8a66ffe85d022498cf925185f5c8ce15e3fb95c61101b7a826822030f2166fefb013ab600ac22120cdf