Abstract
The identification of user travel pattern has important research value for intelligent transportation. Intelligent terminal can supply GPS, acceleration sensors, pressure sensors data which can provide data base for the identification of user travel patterns. This paper research on a user travel pattern decision model based on the sensor data. The decision algorithm adopts decision tree algorithm based on ID3. Experiments data shows that this decision model is effective in identifying the pattern of user's travel.
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