Public transportation decreases the amount of cars on the road and potentially provides a cleaner and more economic way of travel. With the many benefits of public transportation, some problems arise, mainly the predictability of bus arrival times. We collected bus arrival times through a real-time bus-tracker and weather predictions. Our main goal was to determine if we could predict when buses would arrive based on the weather. We then used the data to train a ridge regression model to predict lateness. Our models had some predictive power, but weather was not as useful a predictor as we initially thought it would be.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Gubrud, Scott B.
• Iandoli, Matthew James

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-032120-225625

Palabra Clave

• Urban and Environmental Planning

Advisor

• Whitehill, Jacob Richard

Year

• 2020

Date created

• 2020-03-21

Resource type

• Interactive Qualifying Project

Rights statement

• In Copyright