uiet, panjab ?· uiet, panjab university to detect public bus boarding and de-boarding events using...
Post on 05-Feb-2018
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Low Cost Tracking Of Commuter on Roads Dr. Naveen Aggarwal, Samriddhi Singla, Simran Jain
UIET, Panjab University
To detect public bus boarding and de-
boarding events using users
smartphone barometer sensor,
through which we can calculate
public bus occupancy.
Correlation is applied to barometer values of 50 seconds of bus and
users smartphone, which constitute a window.
The barometer readings are fetched at a frequency of 1 Hz.
Correlation is applied to consecutive windows which are obtained by
sliding the windows by 10 seconds.
Did not get high correlation value
for 50 second window when bus
is not moving (stuck) or moving at
very slow speed (congestion), even
if user is in bus.
Reason for the same:
In stuck or congestion, barometer
readings don't change significantly
Random change in barometer
System Checked the
correlation only when
the bus is in moving
state (not in case of
congestion or stuck).
values only upon
arrival or departure of
the bus from the bus
accelerometer of user's
phone to detect the
state of motion.
Data was collected in
Chandigarh using local CTU
Phones Used: Google Nexus
5, Google Nexus 5x and
One phone was placed in bus
which acted as barometer of
bus, user boarded the bus
with two phones and then de-
Total journeys: 6
Total hours: 4
xus 5: Acted as barometer of bus Nexus 5x and Mi4: Carried by user
Boarding and De-boarding detection results:
Phones Max. Correlation
(user in bus)
Nexus 5 &
0.721 0.928 -0.014 0.754
Nexus 5 &
0.737 0.955 -0.002 0.738
Nexus 5: Acted as barometer of bus; Nexus 5x and Mi4: Carried by user
5: Acted as barometer of bus Nexus 5x and Mi4: Carried by user
Conclusion The change of barometer readings of bus and user's phone can be compared using
correlation and can be used to detect boarding and de-boarding events, and hence .
to calculate the occupancy of a bus, by maintaining a passenger count.