This poster aims to conduct a transportation simulation on MATSim, the state-of-the-art open source software for agent-based transportation simulation, for the region of Birmingham, AL, where a synthetic population is generated from a survey of 451 people with their day-plans of traveling. To tackle the small data problem, we seek the assistance of abundant open data such as US Census data, OpenStreetMap, OpenAddresses and Birmingham Business Alliance to complete the fine details realistically. We also utilize data science and machine learning techniques as well as iterative proportional fitting to build models that utilize these open data to generate a realistic population. Good accuracy of the simulation is achieved; see https://youtu.be/ZIm0WsmKB4E for a demo.