Advancing Crash Investigation With Connected and Automated Vehicle Data – Phase 2 [Research Brief]

Khattak, Asad J.; University of Tennessee, Knoxville; Collaborative Sciences Center for Road Safety

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Advancing Crash Investigation With Connected and Automated Vehicle Data – Phase 2 [Research Brief]

2023-09-01
By Khattak, Asad J.

[PDF-622.68 KB]

English

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Details:

Creators:

Khattak, Asad J.
Corporate Creators:

University of Tennessee, Knoxville ; Collaborative Sciences Center for Road Safety

University of Tennessee, Knoxville ; Collaborative Sciences Center for Road Safety 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. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology 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
Resource Type:

Brief
Geographical Coverage:

United States
Edition:

Research Brief
Corporate Publisher:

Collaborative Sciences Center for Road Safety
Abstract:

This report explores the advancement of crash investigation through connected and automated vehicle (AV) data by answering the following research questions: 1. What do AVs tell us when they crash? 2. What are the gaps in AV safety performance? 3. Which crash contributors do AV sensors reveal? 4. What information is missing in crash investigations? 5. How can law enforcement prepare to use AV data? 6. What insights can AV crash narratives provide? The results revealed that AV sensors provide valuable information about vehicle trajectories, which is usually unavailable.
Format:

PDF
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha-512:c74d8ac1a00d0606b1d2044d7df07a003c1d6e9cbbae342d1c6e97e1101727a12dbac5c90de13ad253b8d61af79bd41aa242e9edd9a3cb9c0b863eeef45e0aaa
Download URL:

https://rosap.ntl.bts.gov/view/dot/77714/dot_77714_DS1.pdf
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Advancing Crash Investigation With Connected and Automated Vehicle Data – Phase 2 [Research Brief]

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