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Title:

Predicting Patterns of Potential Driver Distraction Through Analysis of Eye-Tracking Data
Cover of Predicting Patterns of Potential Driver Distraction Through Analysis of Eye-Tracking Data

Accession Number:

01501654

Record Type:

Component

Abstract:

With improved accuracy and reduced cost of all types of eye tracking technologies, driver behavior studies under naturalistic condition are increasingly resorting to the use of eye trackers. This paper presents the data reduction and analysis approaches of datasets generated by 35 test subjects, each drove through two test routes in a medium size city in Southeastern Pennsylvania. Each test route consisted of segments of expressway, on ramps, exit ramps, and local streets through commercial and residential areas. Test drives were conducted during non-peak hours in early afternoon and late evening. A non-contact eye tracking device was used to capture drivers’ eye fixations and gaze information. Approximately 36 hours of test videos were reduced, and over 1.4 million images with valid fixations were analyzed. Valid samples were grouped by road types, speed ranges, and visibilities, and a methodology was developed to systematically isolate out the images that revealed scenes of abnormal events or visual distractions.

Supplemental Notes:

Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved

Monograph Accession #:

01501394

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Zhang, Wei
Peterson, Mark

Pagination:

20p

Publication Date:

2011

Conference:

3rd International Conference on Road Safety and Simulation

Location: Indianapolis Indiana, United States
Date: 2011-9-14 to 2011-9-16
Sponsors: Purdue University; Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Photos; References; Tables

Geographic Terms:

Subject Areas:

Highways; Safety and Human Factors; I83: Accidents and the Human Factor

Files:

TRIS, TRB, ATRI

Created Date:

Dec 19 2013 11:42AM