Driver Impairment Detection and Safety Enhancement Through Comprehensive Volatility Analysis [Research Brief]

Khattak, Asad J.

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Driver Impairment Detection and Safety Enhancement Through Comprehensive Volatility Analysis [Research Brief]

2020-08-21
By Khattak, Asad J.

File Language:

English

Details

Creators:

Khattak, Asad J.
Corporate Creators:

University of Tennessee, Knoxville. Center for Transportation Research
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 Impairment Drivers Driving Simulators Impaired Drivers Sensors Transportation Safety Virtual Reality Volatility
Publication/ Report Number:

CSCRS-R23
Resource Type:

Brief
Geographical Coverage:

United States
Corporate Publisher:

Collaborative Sciences Center for Road Safety
Abstract:

This report had three main research objectives: 1. Develop a framework for obtaining, processing, and analyzing high-frequency multi-dimensional large-scale data using sensors that monitor the driver, vehicle, and roadways. 2. Analyze the naturalistic driving study data from the SHRP-2 program for in-depth analysis on impairment and distracted driving. 3. Use experimentation in simulated and naturalistic settings, demonstrate collection and processing of driver biometric, vehicle, and roadway surroundings data.
Format:

PDF
Funding:

69A3551747113
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:66ba9ca273e11309133b65951c2e14640ad00a2de37db9c01d36f007d1bd77591afd818d92dc4ff26557d6b6994eb56fde6e2f2f031ec8b9cd66c8bc1bfaaa39
Download URL:

https://rosap.ntl.bts.gov/view/dot/78464/dot_78464_DS1.pdf
File Type:

[PDF - 951.70 KB ]

File Language:

English

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