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Paper@Soict2015: GPSInsights: towards a scalable framework for mining massive transportation data
1. GPSInsights: Towards an efficient
framework for storing and mining
massive real-time vehicle location data
Linh-Truong Hoang, Duy-Khanh Bui, Viet-
Trung Tran
Hanoi University of Science and Technology
1
3. Global Navigation Satellite
System (GNSS)
• Autonomous geo-spatial positioning
– position
– velocity
– time
• "Great" points about GNSS
– Free
– Real-time
– No required local infrastructures
3
4. GNSS as part of Intelligent
transport system (ITS)
• "precious" data for real-time traffic
managements
– traffic dashboard
– speed control
– traffic jams monitoring
4
Need
for
collec-ng
and
mining
massive
GNSS
data
in
REAL-‐TIME
5. GNSS data characteristics
• Real-time
– reported every
second
• Massive in volume
– from millions cars
• "bad" data
• Need to be
processed within
digital map topology
5
20. Experiment setup
• 12 millions GPS records collected by
vehicles equipped with the GPS receiver in
March 2014
• 4 nodes cluster
– 8-cores Intel Xeon 2.6GHz CPU, 32GB memory
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