Advancing Crash Investigation With Connected and Automated Vehicle Data – Phase 2

Khattak, Asad J.; King, Meredith; Adeel, Muhammad; Usman, Sheikh M.; Mahdinia, Iman; University of North Carolina at Chapel Hill; University of Tennessee, Knoxville. Center for Transportation Research; Collaborative Sciences Center for Road Safety

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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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Advancing Crash Investigation With Connected and Automated Vehicle Data – Phase 2

2023-09-01
By Khattak, Asad J. ; King, Meredith ; Adeel, Muhammad ; ...

[PDF-1.78 MB]

English

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Details:

Creators:

Khattak, Asad J. ; King, Meredith ; Adeel, Muhammad ; Usman, Sheikh M. ; Mahdinia, Iman

Khattak, Asad J. ; King, Meredith ; Adeel, Muhammad ; Usman, Sheikh M. ; Mahdinia, Iman Less -
Corporate Creators:

University of North Carolina at Chapel Hill ; University of Tennessee, Knoxville. Center for Transportation Research ; Collaborative Sciences Center for Road Safety

University of North Carolina at Chapel Hill ; University of Tennessee, Knoxville. Center for Transportation Research ; Collaborative Sciences Center for Road Safety Less -
Contributors:

Beck, Joe ; Arvin, Ramin ; Lee, Steve ; Chakraborty, Subhadeep

Beck, Joe ; Arvin, Ramin ; Lee, Steve ; Chakraborty, Subhadeep Less -
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 ; United States. Department of Transportation. Federal Highway Administration

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. Federal Highway Administration Less -
Subject/TRT Terms:

[+]

Accident Investigation Connected And Automated Vehicles Connected Vehicles Crashes Crash Investigation Driver Support Systems Event Data Recorders Intelligent Vehicles Law Enforcement Text Analysis
Publication/ Report Number:

CSCRS-R42
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report: May 2019-Aug 2020
Corporate Publisher:

Collaborative Sciences Center for Road Safety
Abstract:

This report explores the advancement of crash investigation through connected and automated vehicle data by answering several research questions: (1) What insights can be gained from automated vehicle (AV) crashes? (2) What are the gaps in AV safety performance? (3) Which crash contributors are revealed by AV sensors? (4) What pertinent information is missing in crash investigations? (5) What is the preparedness of law enforcement to use AV data? And (6) What insights are gained from on-road AV crash narratives? The results revealed that AV sensors provide valuable information about vehicle trajectories, which is usually unavailable. The above questions (2 and 6) are addressed by combining text analytics of crash narratives and Bayesian methods to assess how pre-crash conditions, automated driving mode, and crash types are associated with crash severity. This method revealed that AVs operating on ramps or slip lanes often experience higher injury severity. Questions 4 and 5 are addressed by surveying crash investigators in law enforcement and assessing their familiarity and experience with AV data. The survey revealed a need for standardization in AV data retrieval and training processes, resulting in a list of pertinent training curricula for law enforcement. This report also motivates a discussion on proper training of crash investigators. It shows that data uncovered through AV sensors can enrich crash investigation practices by facilitating a comprehensive portrayal of crash events.
Format:

PDF
Funding:

69A3551747113
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha-512:2bf142277430b458f41ce12480a8f8919ca7964e1c758168baf2943ce9ea029804795ccd681889c777330ba236e5c0ae7d660e7d7d6521d6480d0500c8a36ed3
Download URL:

https://rosap.ntl.bts.gov/view/dot/77713/dot_77713_DS1.pdf
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Advancing Crash Investigation With Connected and Automated Vehicle Data – Phase 2

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