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Drive density and irregularity are the main factors causing accidents in Indonesia. The purpose of this paper was to create an application that can identify changes in driving speed to become an early warning for drivers to make the right decisions. The initial step of this study was to study theories about changes in distance, sensor systems, and android applications. An observation of the existing traffic conditions in several locations in Indonesia plays an important role in prototype design. Assembly and accuracy test of sensor identification distance is equal to = 0.6% error. The android application successfully converted input data into a warning in the form of sound. It can be concluded that this application can provide effective early warning in the form of sound to easily understand by drivers.