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has been cited by the following article:

• TITLE: Identifying Smartphone Based Intelligent Messages for Worker’s Crossing in Work Zones

  AUTHORS: Fengxiang Qiao, Ruksana Rahman, Qing Li, Lei Yu

  KEYWORDS: Simulator Test, Smartphone Messages, Vehicle-to-Infrastructure (V2I), Work Zones

  JOURNAL NAME: Journal of Transportation Technologies, Vol.6 No.2, February 16, 2016

  ABSTRACT: A smartphone warning system is a feasible option to notify motorists about a safety threat and/or pedestrian crossings ahead. In this paper, a smartphone-based warning system was proposed to enhance workers’ safety in work zones. Three different warning message systems, including sound, male voice and female voice, were designed to alert drivers. Twenty-four subjects were recruited for a total of ninety-six rounds driving simulator test in a work zone to investigate the impacts of smartphone-based warning messages on subjects’ driving performance, in terms of driving speed, speed variation, acceleration, and brake reaction distance. The outcome showed that, with the assistance of the sound and voice (either female or male) warning messages, drivers could effectively reduce their accelerations and speeds. Meanwhile, such a warning system can induce subjects to shorten their brake reaction distances for worker crossings. All participants found that this warning system is applicable to enhance their defensive driving behaviors while driving through a work zone.