Impact Factor
7.883
Call For Paper
Volume 12 Issue 07
July 2026
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