Autonomous Truck Mounted Attenuator (ATMA) Incident Response - CSU Data Report

Details

• Creators:
  Daily, Jeremy ; Span, Martin ; Rayno, Mars ; Brown, Weston ; Nylen, Ashley ; Weldon, Tyler
• Corporate Creators:
  Colorado State University, Fort Collins
• Corporate Contributors:
  Colorado Department of Transportation. Office of Applied Research
• Subject/TRT Terms:
  • Autonomous vehicles
  • Truck mounted attenuators
  • Traffic safety
  • Incident management
• Publication/ Report Number:
  CDOT-2022-04
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final (2021-2022)
• Corporate Publisher:
  Colorado. Department of Transportation
• Abstract:
  As a specific Connected and Automated Vehicle (CAV) technology, the Autonomous Truck Mounted Attenuator (ATMA) is being developed by hardware and software vendors to help save the lives of Department of Transportation (DOT) workers in active highway work zones. The ATMA utilizes an innovative Leader/Follower technology that allows manned and unmanned vehicles to perform cooperatively in a multivehicle configuration. The objective of this report is to provide an addendum of considerations for data recovery practices in the event of an incident. When crashes happen, the sequence of determining crash causation starts with a traffic crash reconstruction. This process gathers physical and digital evidence associated with the crash and reconstructs the events that lead to the crash. This process is explored with the ATMA since the technology is little precedent on which to base procedure.
• Format:
  PDF
• Funding:
  SPR-5380-20-05
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/84567/dot_84567_DS1.pdf
• File Type:
  [PDF - 1.31 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:10691e2b6026afe4ab4c5ff3d6d094739593073796d0a3c738ef7d0ccbd7c6dc5631b5bd60843f3d6883b9be08359a3e78d58686d991051240ce20b2c83cb31d