Public Transportation Optimization
![](https://www.hasankurban.com/project/bus-project/featured_hu0d8ebb7eaffbe70ccce793b9cc349d60_242434_720x0_resize_q75_lanczos.jpg)
Using a large volume of bus data in the form of GPS coordinates (over 100 million data points) and automated passenger count data (over 1 million data points) we have developed (1) a system of analysis and prediction of future public transportation demand (2) a new model that uses concepts specific to college campuses that maximizes passenger satisfaction. Using these concepts we improve service of a model college public transportation service and more specifically the Indiana University Campus Bus Service (IUCBS).