1. Urban Traffic Condition Estimation: Let WiFi Do It
IEEE International Conference on Sensing, Communication and Networking (SECON 16)
Urban Traffic Condition Estimation: Let WiFi Do It
Dr.Bing Leng
Estimate Urban Traffic with WiFi
University of Science & Technology of China (USTC) 1

2. CONTENTS Background Wireless Devices Detection Character Recognition
IEEE International Conference on Sensing, Communication and Networking (SECON 16)
CONTENTS
Part1
Background
Part2
Wireless Devices Detection
Part3
Character Recognition
Part4
Performance
Part5
Conclusion
Estimate Urban Traffic with WiFi
University of Science & Technology of China (USTC) 2 2

3. 3

4. Estimate Urban Traffic with WiFi
IEEE International Conference on Sensing, Communication and Networking (SECON 16)
Estimate Urban Traffic with WiFi
University of Science & Technology of China (USTC) 4

5. Device-level Data Although devices are detected fairly,
IEEE International Conference on Sensing, Communication and Networking (SECON 16)
Device-level Data
Although devices are detected fairly,
Obviously, the data have a relation-
ship with the bus running status,
then, which part of the packets
should be aggregated into a new
piece of device-level information?
their data tell different stories.
Estimate Urban Traffic with WiFi
University of Science & Technology of China (USTC) 5

6. One Information Unit: MAC address of the Device Detected Rssi Values
IEEE International Conference on Sensing, Communication and Networking (SECON 16)
One Information Unit:
MAC address of the Device
Detected Rssi Values
A Time Interval
Time Information
This is an AP installed in a bus, which is used to provide WiFi for the passengers. It can also detect wireless equipment in the vicinity.
Estimate Urban Traffic with WiFi
University of Science & Technology of China (USTC) 6

7. Vehicle Density Index (VDI)
IEEE International Conference on Sensing, Communication and Networking (SECON 16)
Long time stop?
Long time low speed?
Abundant devices nearby?
Signal Activity
Small possibility event
On the bus or not
With the bus or not
Level of relative motion
Inaccuracy:
Vehicle Density Index (VDI)
Kendall Similarity
Devices in the same vehicle
No device in a vehicle
And Its coverage is enough to cover both sides of a road.
Inaccuracy
Estimate Urban Traffic with WiFi
University of Science & Technology of China (USTC) 7

8. How to estimate the number of vehicles with no device detected:
IEEE International Conference on Sensing, Communication and Networking (SECON 16)
How to estimate the number of
vehicles with no device detected:
70%
Estimate Urban Traffic with WiFi
University of Science & Technology of China (USTC) 8

9. IEEE International Conference on Sensing, Communication and Networking (SECON 16)
Experimentation
Then, we use an index called VDI to estimate the traffic condition around the bus.
Estimate Urban Traffic with WiFi
University of Science & Technology of China (USTC) 9

10. Experimentation (cont.)
IEEE International Conference on Sensing, Communication and Networking (SECON 16)
Experimentation (cont.)
We estimate the number of the owners in the nearby vehicles and in turn their quantity.
Estimate Urban Traffic with WiFi
University of Science & Technology of China (USTC) 10

11. Experimentation (cont.)
IEEE International Conference on Sensing, Communication and Networking (SECON 16)
Experimentation (cont.)
Here are some comparison results of our estimation. Notably, the green color indicates the traffic condition, and according to the comparison of the data and actual photos, it is clearly that the estimation is accurate and convincing.
Estimate Urban Traffic with WiFi
University of Science & Technology of China (USTC) 11

12. IEEE International Conference on Sensing, Communication and Networking (SECON 16)
@Bing Leng
Estimate Urban Traffic with WiFi
University of Science & Technology of China (USTC) 12