Effects of roadside distractors on performance of drivers with and without attention deficit tendencies

F. Atiyya Shaw, Sung Jun Park, Jong In Bae, Zoe Becerra, Gregory M. Corso, Michael O. Rodgers, Michael P. Hunter

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

As roadway systems become more complex, with increased visual clutter, new automation technologies, and mixed modes of transportation, it is increasingly important to understand the effects of roadside distractors on driver performance. While driver distraction negatively impacts driver performance and crash rates for all drivers, it is especially important for vulnerable road users who may have an increased risk of distraction. This research was aimed at identifying the influence of roadside distractors on the performance of drivers with and without attention deficit tendencies, and it used a driving simulator to obtain performance metrics in the vicinity of distractors. Overall, the study found that roadside events have statistically significant effects on variability of lane position and speed, and drivers with attention deficit tendencies displayed more lane position variability than control group drivers for all roadway segments examined. Of the distractors tested, billboards and work zones were shown to have the most significant impacts on driver inattention, as evidenced by decreased detection time margins and error rates, respectively. This study is one of the first to examine the effects of roadside distractors on drivers with and without attention deficit disorders, and the results lend insight to the effects that external distractions can have on driver performance.

Original languageEnglish
Pages (from-to)141-151
Number of pages11
JournalTransportation Research Part F: Traffic Psychology and Behaviour
Volume61
DOIs
StatePublished - Feb 2019
Externally publishedYes

Funding

This work was sponsored by the Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE) and the National Center for Transportation Systems Productivity and Management (NCTSPM). Atiyya Shaw was funded under a National Science Foundation (NSF) Graduate Research Fellowship, and this material is based upon work supported by the NSF Graduate Research Fellowship Program under Grant No. DGE-1650044 . Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of STRIDE, NCTSPM, or the NSF. This paper does not constitute a standard, specification, or regulation. The comments of two anonymous reviewers have improved this paper.

FundersFunder number
National Center for Transportation Systems Productivity and Management
STRIDE
National Science FoundationDGE-1650044
Southeastern Transportation Research, Innovation, Development and Education Center

    Keywords

    • Driver distraction
    • Driving simulator
    • Roadway complexity

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