01626315

Component

The purpose of this study was to investigate the effect of secondary tasks and driver behavior on crash and near-crash risk at controlled/uncontrolled intersections and non-intersections using Decision Tree (DT) and Multiple Logistic Regression (MLR) models. These models identified the secondary tasks and behavior that may increase the likelihood of drivers violating traffic rules. Using naturalistic driving data, the MLR and DT analysis revealed that cell phone use by drivers at controlled intersections increased the chances of violating traffic rules. From the results, distracted driving also increased the likelihood of drivers committing traffic violations at controlled and uncontrolled intersections. Speeding, illegal passing and distraction were found to have been significant contributors to crashes/near-crashes at all three location types studied. At non-intersections, holding cell phones was identified by both models as a factor which increased crash and near-crash risk. Aggressive driving, cutting in, no signaling, illegal passing, following closely, signal violations and cell phone use in general however did not increase crash risk according to the findings. Information obtained about the behavior identified to be hazardous at controlled/uncontrolled intersections, and non-intersections can be used in safety campaigns and at driving/traffic schools to effect changes in driver behavior.

This paper was sponsored by TRB committee AND10 Standing Committee on Vehicle User Characteristics.

01618707

17-04982

English

17p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References (29) ; Tables

Automatic data collection systems; Behavior; Cellular telephones; Crash causes; Distraction; Driver performance; Risk assessment; Workload

Highways; Safety and Human Factors

Transportation Research Board Annual Meeting 2017 Paper #17-04982

TRIS, TRB, ATRI

Dec 8 2016 11:55AM