Paper Seminar

Classifying the Mode of Transportation on Mobile Phones using GIS Information

2015-05-21 11:42
Determining the mode of transport of an individual is an
important element of contextual information. In particular,
we focus on differentiating between different forms of
motorized transport such as car, bus, subway etc. Our
approach uses location information and features derived
from transit route information (schedule information, not
real-time) published by transit agencies. This enables no
up-front training or learning of routes and can be deployed
instantly to a new place since most transit agencies publish
this information. Combined with motion detection using
phone accelerometers, we obtain a classification accuracy
of around 90% on 50+ hours of car and transit data.