Research on shared Bicycle Trip Prediction Based on ARIMA Model
Journal Title: International Journal of Artificial Intelligence and Mechatronics - Year 2018, Vol 7, Issue 1
Abstract
In the present paper, the trip data of Shanghai Mobike in August 2016 are taken as the main raw data, and the trip characteristics of shared bicycle system are deeply studied by using data mining method, and the ARIMA model is used to predict bicycle trip. Finally, RMSE is used to judge the prediction accuracy. The results show that the model can effectively predict the residents' trip, and the prediction accuracy is high, which can provide a certain reference for residents' trip.
Authors and Affiliations
Yajie Zhang
Keywords
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