Research on shared Bicycle Trip Prediction Based on ARIMA Model

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Research areas:
Year:
2018
Type of Publication:
Article
Keywords:
ARIMA, Shared Bikes, Prediction, Time Series
Journal:
IJAIM
Volume:
7
Number:
1
Pages:
1-4
Month:
July
ISSN:
2320-5121
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
Full text: IJAIM_605_FINAL.pdf

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