Performance Evaluation of a Deep Learning Model for Time Series Prediction on Android Devices

In this paper, to verify the feasibility of an application implementation that predicts and controls traffic congestion on Android devices, we embed a deep learning model previously trained on the server side into a verification application using TensorFlow Lite and evaluate its performance by comparing it with the prediction accuracy and processing speed on the server.