This is an app written mostly in Python that leverages the Google Maps API to enable more nuanced transportation modes for travel. Currently, public transportation options require walking to/from a train/bus/etc. station.This is especially relevant in America, where wide expanses and suburban areas require car transit, but public transportation options are available closer to a city.
What if you could drive to a park and ride then ride the train to your destination–only walking a couple blocks in the end? Could you optimize around traffic? Is it possible to drive in one section fastest but use public transportation as the fastest mode of transportation for another leg of the trip? This app works to optimize for such questions.
Currently the app in prototyped and undergoing intermittent further development in conjunction with research work by Kristin M. Carlson at the University of Minnesota within the Civil Engineering Department’s Transportation Lab.