Priyank Singh Tanvi Hungund and Shobhit Kukreti

The traditional approaches to transportation data collection have been associated with low accuracy especially in adaptive conditions. To overcome this shortcoming, we suggest an analysis of adaptive data acquisition technology for Android systems using big data analytics. We propose the integration of Android systems into big data analysis frameworks, construct a data transmission processing framework for Android systems, and realize the efficient collection of transportation data. By the use of algorithms, we are able to distinguish between normal, useful, and useless data during the data collection process. The evaluation results show that the adaptive data transmission technology for Android systems, which is suggested in this paper, provides an analysis accuracy of about 50% and allows for the effective gathering of relevant transport data.