The potential of naturalistic driving studies with simple Data Acquision Systems (DAS) for monitoring driver behaviour

In order to demonstrate the capabilities and the potential of collecting large-scale ND throughout a smartphone app we refer to a recent field study titled “Drive Mode” which has been conducted in Israel in January – October, 2016, and its comprehensive results are still being probed and analysed. Two hundred and sixty Israeli young drivers aged 17-24 (average age = 19.4 years old, SD=1.7) who hold a valid driver’s license for at least three months and drive, on average, at least two hours a week, participated in this study. Among them, 147 participants (64%) were male and 113 (36%) were female. As can be seen in Figure 4-1 which presents participants residence locations on the map of Israel, young drivers from all areas of Israel participated in the study. This indicates the potential of conducting such study with no geographical constraints as long as participants own a smartphone. Each participant was driving for a period of four months in his or her family owned car. However, not all participants started at the same point of calendar time. Participants installed a smartphone app called ProtextMe®, which was adjusted and configured especially for this study, on their own smartphones. For each participant, in the first month of the “Drive Mode” study, only monitoring of actual smartphone usage while driving has been performed by the app. In the following two months participants were introduced to various interventions aimed to mitigate smartphone distraction; that is, for each participant actual smartphone usage has been monitored under a specific intervention. During the last month of the study no intervention has been presented and only monitoring has been performed.

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