Driver Distraction: Eye Glance Analysis and Conversation Workload

Hickman, Jeffrey S.; Soccolich, Susan; Fitch, Greg; Hanowski, Richard J.; Virginia Tech Transportation Institute. Center for Truck and Bus Safety

doi:10.21949/1502648

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Driver Distraction: Eye Glance Analysis and Conversation Workload

2015-11-01
By Hickman, Jeffrey S. ; Soccolich, Susan ; Fitch, Greg ; ...

[PDF-1.45 MB]

English

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Details:

Creators:

Hickman, Jeffrey S. ; Soccolich, Susan ; Fitch, Greg ; Hanowski, Richard J.

Hickman, Jeffrey S. ; Soccolich, Susan ; Fitch, Greg ; Hanowski, Richard J. Less -
Corporate Creators:

Virginia Tech Transportation Institute. Center for Truck and Bus Safety
Subject/TRT Terms:

[+]

Commercial Vehicles Data And Information Technology Data Collection Driver Distraction Evaluation Eye Location Eye Movements Highways Highway Safety I83: Accidents And The Human Factor Research Hub Safety And Human Factors Workload
Publication/ Report Number:

FMCSA-RRR-14-001
DOI:

https://doi.org/10.21949/1502648
Resource Type:

Tech Report
Geographical Coverage:

United States
TRIS Online Accession Number:

01583587
Edition:

Final Report
Contracting Officer:

Theresa Hallquist (Task Order Manager)
Corporate Publisher:

United States. Federal Motor Carrier Safety Administration. Office of Analysis, Research, and Technology
Abstract:

The objective of this project was to assess the risk of performing a secondary task while driving a commercial motor vehicle (CMV). The risk of conversation workload while driving a CMV was also assessed. Conversation workload is a proxy for cognitive distraction or the amount of mental workload associated with thinking about something other than the driving task. The data were collected from an existing naturalistic driving dataset. Naturalistic driving data records a driver performing his or her normal duties. The data were from 6,379 commercial trucks and buses during a 4-month period. The study found that talking to passenger(s) significantly increased the risk of a safety critical event (SCE). However, talking or listening on an electronic device while driving did not pose a significant risk. Drivers who looked away from the forward roadway close to the trigger point were more likely to be involved in an SCE. Talking time analyses showed that the longer a driver talked while driving, the less likely that driver was to be involved in an SCE. Results from the conversation workload analyses were inconclusive because there were not enough data for an assessment. Finally, the current study compared spurious and random baselines. Spurious baselines are recordings that are triggered by events not related to safety such as a vehicle traveling across railroad tracks. The study found that talking time and visual distraction plots for random and spurious baselines were similar. As a result, spurious baselines are acceptable for use in place of random baselines
Format:

PDF
Funding:

DTMC75-11-J-00056
Collection(s):

Federal Motor Carrier Safety Administration
Main Document Checksum:

[+]

urn:sha256:709f7d74e7a2b7278809f4ecd1ad1a8af35edeaf56cdebe3c2adc287b9411aeb
Download URL:

https://rosap.ntl.bts.gov/view/dot/212/dot_212_DS1.pdf
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Driver Distraction: Eye Glance Analysis and Conversation Workload

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