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The provision of timely and accurate bus arrive time information is very important. It helps to attract additional ridership and increase the satisfaction of transit users. In this paper, a self-learning prediction algorithm is proposed based on historical data model. Locations and speeds of the bus are periodically obtained from GPS senor installed on the bus and stored in database. Historical travel...
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