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 2016.06.30 Estimate Urban Traffic with WiFi University of Science & Technology of China (USTC) 1

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

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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

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

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

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

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

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

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

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

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