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BikeTrackTracking Stolen Bikes through Everyday Mobile Phones
and Participatory Sensing
Ted Tsung-Te Lai Chun-Yi LinYa-Yunn Su
Hao-Hua Chu
National Taiwan University
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Bikes are everywhere
Cyclists face many problems…
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Safety (CyberBike, HotMobile10)
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Route quality (BikeStatic, CHI10)
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Fitness (BikeNet, SenSys07)
Sensors:-Heart rate-GPS-Accelerometer…etc
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Bike Theft (BikeTrack)
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Bike Theft Survey (208 students)
1 out of 1.8 person has bike stolen experience
1 out of 3.7 stolen bikes was recovered
Mostly found on campus “Is it possible to use participatory sensing to recover stolen bikes?”
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1. Motivation2. BikeTrack System design3. Evaluation and preliminary results4. Future work5. Conclusion
Outline
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BikeTrack overview
Bluetooth BikeUsers use phone to scan Bluetooth
Log BluetoothID/Location/Timestamp
Server for bike location query
data
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Spec:
20-meter radio range
1.5-month lifetime
16 USD/tag
Customization:
Only broadcast beacon ID
Why Bluetooth?
Available on almost every phone
Bluetooth beacon tag
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Bluetooth tag mounting on a bike
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Phone implementation
• Android 2.1• Scan Bluetooth ID every 20secs in background• When a Bluetooth ID is found, it logs
• Auto-upload data during network availability
Bluetooth ID Location Timestamp
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Server implementation
• Linux + Apache + MySQL• Web interface to query bike location on
google map
Bike locations
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1. Motivation2. BikeTrack system design3. Evaluation and preliminary results4. Future work5. Conclusion
Outline
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User study
• Two-week during summer• 11 CS grad students• Dataset: 3700 bluetooth/location/times entries– 3500 self-detection; 200 detection of other users
• Constraint:
CS department layout
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1. How well does participatory sensing work in tracking bikes?
2. Is it possible to locate stolen bike on campus?
3. Is it possible to reduce battery consumption based on user behaviors ?
Evaluation and preliminary results
Avg. Bluetooth detections/day
• All bikes were detected• Avg. detection rate: 5.1 times/day
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1. How well does participatory sensing work in tracking bikes?
2. Is it possible to locate stolen bike on campus?
3. Is it possible to reduce battery consumption based on user behaviors ?
Evaluation and preliminary results
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Bike location distribution in Taipei
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Bike location distribution at NTU
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1. How well does participatory sensing work in tracking bikes?
2. Is it possible to locate stolen bike on campus?
3. Is it possible to reduce phone battery consumption based on user behaviors ?
Evaluation and preliminary results
Avg. user detection pattern during a day
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• Detection happened at noon, dinner, end of a day• Detection pattern varies with users• Future optimization (currently scan/20 seconds)
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1. Motivation2. BikeTrack System design3. Evaluation and preliminary results4. Future work5. Conclusion
Outline
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Formulating deployment strategy
• How to incorporate user spatial-temporal model to reduce phone overhead?
• How to incentivize participation?
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1. Motivation2. System design3. Evaluation and preliminary results4. Future work5. Conclusion
Outline
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• BikeTrack - A low cost participatory sensing system for bike tracking
• Preliminary result shows that BikeTrack is a promising system to locate bikes
Conclusion
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Questions & Answers
BikeTrack:Tracking Stolen Bikes through Everyday Mobile
Phones and Participatory Sensing
Ted Tsung-te LaiChun,Yi Lin, Ya-Yunn Su, Hao-Hua Chu
National Taiwan University
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