Connected Autonomous Traffic Signal Control Algorithms and Fleet Vehicles [Data Management Plan]

Details

• Creators:
  Zlatkovic, Milan ; Ahmed, Mohamed M ; Cvijovic, Zorica ; Bashir, Sara
• Corporate Creators:
  University of Wyoming
• Subject/TRT Terms:
  • Data management plans
  • Algorithms
  • Autonomous vehicles
  • Connected vehicles
  • Driving simulators
  • Emergency vehicles
  • Freight traffic
  • Microsimulation
  • Optimization
  • Signalized intersections
  More +
• Resource Type:
  Data Management Plan
• Geographical Coverage:
  United States
• Edition:
  DMP Version: 2
• Corporate Publisher:
  University of Wyoming
• Abstract:
  This data management plan (DMP) explains how data from the project "Connected Autonomous Traffic Signal Control Algorithms and Fleet Vehicles" will be managed and shared. ; The purpose of the research project is to create field-ready, Connected-Autonomous Vehicles (CAV)-based traffic control programs that will improve operations and safety of trucks and fleet vehicles. The study reviews the current protocols and recommends options applicable to Wyoming conditions. It analyzes, assesses and develops traffic control algorithms that use CAV technologies to improve operations and safety of signalized intersections. The focus is on optimizing operations of freight and fleet vehicles through signalized intersections. The analyzed strategies include freight priority, queue warning and speed harmonization.
• Format:
  PDF
• Funding:
  RS03219
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/58985/dot_58985_DS1.pdf
• File Type:
  [PDF - 112.94 KB]
• Collection(s):
  US DOT Public Access Data Management Plans ; Autonomous Vehicles
• Main Document Checksum:
  urn:sha-512:70205524350d5727981bbdf751aeed088db5b3980984fddd45dc9c1af797fc83a5a387add873787ba5fccff22d8040e7a3f7e3fe6bb0178884c4e6f1cecba834