Taxi Demand Forecasting Predictive Analytics | Rydot Infotech 
Built for

Web

Technologies

Bigdata

Industry

Transport

Country

Dubai

Taxi Demand Forecasting Predictive Analytics

Project Highlights

  • Identify the demand of taxis at specific location and at specific point in time.
  • 50 – 70% of non-revenue trips.
  • Identify the weather condition & events data for understanding taxi demands.
  • Understand current availability of taxi at the location of demand.

Our Solution

Big Data Analytics for Retail
  • Web based solution to search and identify demand of taxi’s at the desired location.
  • Upto 80% of accuracy of taxi demand forecasting at the location of demand.
  • Highly efficient algorithms like XGBoost, Random-Forrest classifier and Layered ANN used for generating prediction model.
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