Volume 5, Issue 3 (March 2019)

Increasing Taxi Business Revenue From Predicted Demand By Applying Recurrent Neural Networks

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Author(s)

M. Theresa K. Sreenidhi S. Janani Gowsalya

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

Keywords

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

Paper ID

IJSARTV5I329505

Publication Date

March 5, 2019

Research Area

Computer Science And Engineering

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