more accurate bus prediction allows passengers to find alternate forms of transportation do this...
TRANSCRIPT
Predicting Bus Arrival Time with Mobile Phone based Participatory
Sensing
Goal
More Accurate Bus Prediction› Allows Passengers to find alternate forms
of transportation Do this with energy efficiency in mind Don’t use any high level permissions
Equipment Used
Microphone – Record Sound Cell Signal – Determine Location Accelerometer - Determine Bus or
Train
System Design
System Design Cont.
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
Backend Server Data
Maintains a database of sequences for cell tower IDs for the different Bus routes
On a Bus?
Sound detection
Bus vs Train
Accelerometer Readings
Bus Classification
Sequence Matching After running an
Algorithm the Serverdetermines which route has the bestscore and that determines what bus the sharing user is on
Arrival Time Prediction
After all data is uploadedand each bus is determined where it isAny querying user will be able to get data onwhere the bus is andapproximate arrival time.
Findings from Experimentation
Findings Cont.
Limitations
No Users on a Bus› Causes bus times to be reported wrong
Overlapped Routes › The Server will sometimes misinterpret a
route