Driver Impairment Detection & Safety Enhancement Through Comprehensive Volatility Analysis [Slides]

Khattak, Asad J.; Arvin, Ramin; Chakraborty, Subhadeep; Melton, Chad; Clamann, Michael

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Driver Impairment Detection & Safety Enhancement Through Comprehensive Volatility Analysis [Slides]

2021-02-22
By Khattak, Asad J. ; Arvin, Ramin ; Chakraborty, Subhadeep ; ...

File Language:

English

Details

Alternative Title:

Driver Impairment Detection and Safety Enhancement Through Comprehensive Volatility Analysis
Creators:

Khattak, Asad J. ; Arvin, Ramin ; Chakraborty, Subhadeep ; Melton, Chad ; Clamann, Michael
Corporate Creators:

University of Tennessee, Knoxville ; University of North Carolina at Chapel Hill ; Collaborative Sciences Center for Road Safety
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
Subject/TRT Terms:

Algorithms Artificial Intelligence Automatic Data Collection Systems Behavior Biometrics Data Analysis Distracted Driving Drivers Driving Simulators Impaired Drivers Sensors Transportation Safety Virtual Reality Volatility
Publication/ Report Number:

CSCRS-R23
Resource Type:

Presentations
Geographical Coverage:

United States
Corporate Publisher:

Collaborative Sciences Center for Road Safety
Abstract:

Distraction and impairment can substantially lower driver performance. Distracted and impaired driving contribute to approximately 35% of all transportation deaths. This project focuses on creating new knowledge to advance safety through a systems-based approach.
Format:

PDF
Funding:

69A3551747113
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:b284afde2c1ba1c4186a3feb3178e887587df60d49696967d8b65defd434e6228536ca1d7f9ed998689f817c95abe5c049e73b547ef57b4809a21a82a2dfb243
Download URL:

https://rosap.ntl.bts.gov/view/dot/82613/dot_82613_DS1.pdf
File Type:

[PDF - 836.86 KB ]

File Language:

English

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