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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.

    Objective Methodology

    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

    readings.

    Challenges

    Adapting the

    System Checked the

    correlation only when

    the bus is in moving

    state (not in case of

    congestion or stuck).

    Reduced the

    computation by

    checking correlation

    values only upon

    arrival or departure of

    the bus from the bus

    stops.

    Used the

    accelerometer of user's

    phone to detect the

    state of motion.

    Data Collection

    Data was collected in

    Chandigarh using local CTU

    (Chandigarh Transport

    Undertaking) buses.

    Phones Used: Google Nexus

    5, Google Nexus 5x and

    Xioami MI4

    One phone was placed in bus

    which acted as barometer of

    bus, user boarded the bus

    with two phones and then de-

    boarded.

    Total journeys: 6

    Total hours: 4

    xus 5: Acted as barometer of bus Nexus 5x and Mi4: Carried by user

    Results

    Boarding and De-boarding detection results:

    Phones Max. Correlation

    before boarding

    Correlation

    during

    boarding

    Min. Correlation

    (user in bus)

    Max. Correlation

    after de-boarding

    Nexus 5 &

    Nexus 5x

    0.721 0.928 -0.014 0.754

    Nexus 5 &

    MI4

    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.

    De-boarding Module

    Boarding Module

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