Occupancy is a mobile application for MBTA subway commuters. The pandemic highlighted the need for crowd density estimates. By projecting data to the public, people can decide if waiting for the next train car is safer than boarding the one that has just arrived. Occupancy also uses the MBTA’s JSON file, so arrival times and location are also displayed for convenience.

Measurements collected from weighted tracks, air sensors, and cameras are sent to the MBTA’s JSON file and used to display accurate and precise data in real-time. Occupancy shows the number of people per car, per train, allowing commuters to assess the risk of infection.

Max:

Occupancy is an app that is made to display common data and statistics from the Redline. The goal of the app is to have people understand when and where any train is and how full each car is. It allows the user to figure out the logistics of any journey on the trains. Using various visuals and constant updating information the user will be able to have an easy time navigating through the UI. 

The T can be a very crowded place during certain times of the day and having an app such as Occupancy will help spread out the traffic and make riding the T more pleasant. The app will have a map of Boston with a map of the Redline overlaid. The map will have each train shown on the map, clicking on a train will open up a sub menu with more information about it. Ontop of making an app with the existing statistics we will be adding passenger counting to each car. The hope of Occupancy is to make the subways less crowded by spreading out people on different trains.