Programs
- B. Sc. Clinical Nutrition, Dietetics, and Food Science - Undergraduate
- Post Doctoral Fellowship in EEG & Clinical Epileptology - Fellowship
Publication Type : Conference Paper
Publisher : 2019 Third International Conference on Inventive Systems and Control (ICISC)
Source : 2019 Third International Conference on Inventive Systems and Control (ICISC), 2019.
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2019
Abstract : In this competitive world, transport services have become highly saturated. To operate an existing company or open a new company in the field of transport is very important and need to know the demand forecast. In the field of transport, service providers facing complex challenges due to the competitors. This paper explores the applications of a forecasting model to predict the number of passengers going to travel in the future. It also compares the efficiency of different models like Auto Regressive and Integrated Moving Average (ARIMA), HOLT WINTERS, Naïve, Snaïve, Drift and list their performances.
Cite this Research Publication : B. N. K. Sai and Sasikala T, “Forecasting Air Passenger Data using various models”, in 2019 Third International Conference on Inventive Systems and Control (ICISC), 2019.