A Predictive Model and Evaluation Framework for Smart Parking: The Case of ParkPGH

ParkPGH is a smart parking system that uses historical parking and event data in a prediction model to provide real-time information on the availability of parking in eight parking facilities within the Pittsburgh Cultural District. The project’s unique characteristics include the collaborative efforts of funders, academia, nonprofit and for-profit entities that are involved in the project, the environment in which the product is deployed and the richness of the data from which the prediction model and the robust evaluation strategy draw upon. The paper describes the pilot phase of the project along with preliminary results, as well as the next steps to be taken for a full project implementation.