  Transportation is quickly evolving in the emerging smart city ecosystem with
personalized ride sharing services quickly advancing. Yet, the public bus
infrastructure has been slow to respond to these trends. With our research, we
propose a semi-dynamic bus routing framework that is data-driven and responsive
to relevant parameters in bus transport. We use newly published bus event data
from a bus line in Boston and several algorithmic heuristics to create this
framework and demonstrate the capabilities and results. We find that this
approach yields a very promising routing infrastructure that is smarter and
more dynamic than the existing system.
