This project focuses on the development of data analysis and modeling methods for tracking and predicting origin-destination (OD) travel patterns and trends based on mobile device data. Alogrithms for imputing missing information in mobile device data and for correcting sampling bias will be developed. Key products include 2016 passenger travel OD tables at the national and metropolitan levels by various modes, purposes, time periods, and socio-demographical groups, based on three types of mobile device data sources: cell phones, GPS devices, and Smartphone apps. A national travel demand microsimulation model also will be calibrated based on these 2016 OD products for predicting future year and scenario-based OD tables. Validation of both the computational algorithms and all OD products will be performed on either ground truth data or other independent datasets.