INCREASING TAXI BUSINESS REVENUE FROM PREDICTED DEMAND BY APPLYING RECURRENT NEURAL NETWORKS

• Author(s):

  M. Theresa | K. Sreenidhi | S. Janani Gowsalya

• Keywords:

  Prediction Of Taxi Demand, Time Series Forecasting, Recurrent Neural Networks, LSTM Memory Cell.

• Abstract:

  Forecasting The Demand Of Taxi Through The Entire City Can Be Efficiently Used To Manage The Fleet Of Taxi Control Drivers. By Forecasting The Demand, We Can Reduce The Waiting Time For All Passengers And Can Serve Them In A Better Way. In This Paper, We

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Other Details

• Paper id:

  IJSARTV5I329505

• Published in:

  Volume: 5 Issue: 3 March 2019

• Publication Date:

  2019-03-05

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