2. More Accurate Bus Prediction Allows Passengers to find alternate forms of transportation Do this with energy efficiency in mind Dont use any high level permissions

3. Microphone – Record Sound Cell Signal – Determine Location Accelerometer - Determine Bus or Train

5. Query User – Looks for Bus arrival time by indicating bus route and stop Sharing User – Contributes mobile sensing information to the backend server Information includes – a collected cell sequence from nearby cell towers, sound and accelerometer data to make sure the user is on a bus Backend Server – Processes data from sharing users and give information to querying users

6. Maintains a database of sequences for cell tower IDs for the different Bus routes

7. Sound detection

8. Accelerometer Readings

9. Sequence Matching After running an Algorithm the Server determines which route has the best score and that determines what bus the sharing user is on

10. After all data is uploaded and each bus is determined where it is Any querying user will be able to get data on where the bus is and approximate arrival time.

13. No Users on a Bus Causes bus times to be reported wrong Overlapped Routes The Server will sometimes misinterpret a route