Texas Automated Vehicle Recognition Guide for First Responders

i

Texas Automated Vehicle Recognition Guide for First Responders

2025-02-01
By Texas A&M Transportation Institute

File Language:

English

[PDF - 12.75 MB]

Details

Corporate Creators:

Texas A&M Transportation Institute
Contributors:

Trefz, Bradley
Corporate Contributors:

Texas Department of Transportation. Research and Technology Implementation Office
Subject/TRT Terms:
Publication/ Report Number:

0-7199-P1
Resource Type:

Tech Report
Geographical Coverage:

Texas ; United States
Corporate Publisher:

Texas. Department of Transportation
Abstract:

This guide provides Texas first responders methods to safely and efficiently respond to a multitude of routine and adverse incident scenarios involving automated vehicles (AVs). It contains a catalog of 19 scenarios and best practices developed by the project team using first responder standards and industry practices. This guide is divided into six main scenario sections: 1 Law Enforcement Officer (LEO) Routine Interactions; 2 Secondary Interactions; 3 Commercial Motor Vehicle (CMV) Interactions; 4 LEO Non-Routine Interactions; 5 Crash Response and Investigation; 6 Traffic/Parking Management and Enforcement.... This document provides Texas first responders with essential information on automated vehicles (AVs) currently testing or operating within the state. It includes detailed photographs and descriptions of key components for each AV model, enabling responders to quickly identify vehicles and determine their level of autonomy, where applicable. By enhancing responders’ understanding of AV technology, this guide supports safe and effective incident management involving autonomous vehicles.
Format:

PDF
Funding:

0-7199
Download URL:

https://rosap.ntl.bts.gov/view/dot/86021/dot_86021_DS1.pdf
File Type:

[PDF - 12.75 MB]
Collection(s):

Autonomous Vehicles
Main Document Checksum:

urn:sha-512:51007a95a2c632f4704ceaa9fe7d04261322e56a32d473591cbfee560a3aed328aef1efc44d09a30609d0246423adef5a98d3b9e6b036ac26724d0cfc3648406

File Language:

English

ON THIS PAGE

Details Related Documents

Found an issue?

Send us an email at:

publishinghd@cdc.gov

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.