Safety Enhancement by Detecting Driver Impairment Through Analysis of Real-Time Volatilities [Research Brief]

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

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Safety Enhancement by Detecting Driver Impairment Through Analysis of Real-Time Volatilities [Research Brief]

[PDF-592.97 KB]

English

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Details:

Creators:

Khattak, Asad J.
Corporate Creators:

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

Collaborative Sciences Center for Road Safety ; University of Tennessee, Knoxville Less -
Corporate Contributors:

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 ; United States. Department of Transportation. University Transportation Centers (UTC) Program Less -
Subject/TRT Terms:

[+]

Biometrics Detection And Identification Systems Distracted Driving Distraction Driver Support Systems Driving Errors And Violations Environment Impaired Drivers Mathematical Models Safety-Critical Events Simulation Telemetry Traffic Safety Vehicle Performance
Resource Type:

Brief
Geographical Coverage:

United States
Corporate Publisher:

Collaborative Sciences Center for Road Safety
Abstract:

Distracted driving can lead to driving instability and result in crashes causing injuries and the loss of valuable lives. Early detection of driver distraction is critical to alert drivers by providing feedback and warning messages. This project develops a framework to detect driver impairment using extensive real-time driver biometric information and data related to vehicle kinematics and the roadway environment. Data from multiple sources, including driver gaze data, vehicle kinematics indicators, and external factors like interaction with surrounding traffic, are collected and analyzed.
Format:

PDF
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha-512:b954eae5ed03070d273bad1fd586c5b24b7a1aa6eb16e85bc7ce216973215f1e48750c782e8991a8c4d46639b0c327595e663da51a941676fc44f4ddc2142985
Download URL:

https://rosap.ntl.bts.gov/view/dot/77716/dot_77716_DS1.pdf
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Safety Enhancement by Detecting Driver Impairment Through Analysis of Real-Time Volatilities [Research Brief]

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