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Abstract Details
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Activity Number:
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234
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Type:
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Topic Contributed
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Date/Time:
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Monday, July 30, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Government Statistics
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| Abstract - #306519 |
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Title:
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Decision Tree Induction of Driver's Behavior at a Yellow Light
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Author(s):
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Linda Boyle*+ and Amanda Raven
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Companies:
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University of Washington and University of Washington
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Address:
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G6 Mechanical Engineering Bldg, Seattle, WA, 98195-2650, United States
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Keywords:
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Decision Tree ;
Driver behavior
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Abstract:
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The decision to proceed through an intersection once a traffic signal has changed to yellow may increase the risk for a collision. This study sought to understand how age differences, cell phone use, and time to the stop line affected the likelihood that a driver would continue through a yellow light as observed in a driving simulator study. Although studies have shown the impacts of age and distraction on crash risk, there are many interaction effects that may not be known. Decision tree induction, a data mining technique, can provide insights on the variation that may exist across different age groups, and can highlight areas where behavior is not well accounted for with the variables included in the induction. These insights can help define the needs of future studies.
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