Abstract
In this paper, we present TransDec, an end-to-end-data-driven system which enables spatiotemporal queries in transportation systems with dynamic, real-time and historical data. TransDec fuses a variety of real-world spatiotemporal datasets including massive traffic sensor data, trajectory data, transportation network data, and point-of-interest data to create an immersive and realistic virtual model of a transportation system. With TransDec, we address the challenges in visualization, monitoring, querying and analysis of dynamic and large-scale transportation data in both time and space.