Description
Abstract
In this paper, we use the three-axis accelerometer of an Android-based smartphone to record and
analyze various driver behaviors and external road conditions that could potentially be hazardous
to the health of the driver, the neighboring public, and the automobile. Effective use of these data
can educate a potentially dangerous driver on how to safely and efficiently operate a vehicle. The
direction of lane change, as well as safe acceleration, compared with sudden acceleration, was
easily distinguishable. Using a multiple-axis classification method for bumps increased the bump
and pothole classification accuracy, resulting in a better road anomaly detection system. Being
fueled by demand, future advancements in embedded hardware will yield the smartphone and its
sensors to be more powerful devices in terms of processing, sensitivity, and accuracy, paving the
way for many more innovative applications.
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