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Title: Analytics For Distracted Driver Behavior Modeling in Dilemma Zone

In this paper, we present the results obtained and insights gained through the analysis of TRB contest data. We used exploratory analysis, regression, and clustering models for gaining insights into the driver behavior in a dilemma zone while driving under distraction. While simple exploratory analysis showed the distinguishing driver behavior patterns among different popu- lation groups in the dilemma zone, regression analysis showed statically signification relationships between groups of variables. In addition to analyzing the contest data, we have also looked into the possible impact of distracted driving on the fuel economy.
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  1. ORNL
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Resource Relation:
Conference: Transportation Research Board 93rd Annual Meeting, Washington, D.C., DC, USA, 20140112, 20140116
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
Country of Publication:
United States
Distracted driver behavior