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

Daily, Jeremy; Span, Martin; Rayno, Mars; Brown, Weston; Nylen, Ashley; Weldon, Tyler; Colorado State University, Fort Collins

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

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

2022-05-01
By Daily, Jeremy ; Span, Martin ; Rayno, Mars ; ...

English

Details You May Also Like

Details:

Creators:

Daily, Jeremy ; Span, Martin ; Rayno, Mars ; Brown, Weston ; Nylen, Ashley ; ... More +

Daily, Jeremy ; Span, Martin ; Rayno, Mars ; Brown, Weston ; Nylen, Ashley ; Weldon, Tyler Less -
Corporate Creators:

Colorado State University, Fort Collins
Corporate Contributors:

Colorado Department of Transportation. Office of Applied Research
Subject/TRT Terms:

[+]

Autonomous Vehicles Incident Management Traffic Safety Truck Mounted Attenuators
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
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha-512:10691e2b6026afe4ab4c5ff3d6d094739593073796d0a3c738ef7d0ccbd7c6dc5631b5bd60843f3d6883b9be08359a3e78d58686d991051240ce20b2c83cb31d
Download URL:

https://rosap.ntl.bts.gov/view/dot/84567/dot_84567_DS1.pdf
File Type:

[PDF-1.31 MB]