Dingari, Manohar and Reddy, D. Mallikarjuna and Sumalatha, V. (2020) Air Traffic Forecasting Using Time Series Models: New Perspectives. In: Emerging Trends in Engineering Research and Technology Vol. 4. B P International, pp. 51-60. ISBN 978-93-90149-01-8
Full text not available from this repository.Abstract
In this chapter, Holt-Winters’ Additive model is fitted to the data regarding Domestic Air traffic in Air
India flights. The investigation was done using dataset on number of passengers travelling by Air India
domestic flights during January 2012 to November 2018. To prepare a tool to analyze the traffic flow
monthly wise this helps Air India to revise their services. ARIMA model also has been fitted to the
data, and compared with Holt-Winters’ Additive model. Finally, the results, findings and analysis
proved that the Holt-Winters’ Additive model is superior to the ARIMA model for this data. This kind of
analysis is very useful for forecasting the Air traffic.
| Item Type: | Book Section |
|---|---|
| Subjects: | Eurolib Press > Engineering |
| Depositing User: | Managing Editor |
| Date Deposited: | 21 Nov 2023 05:17 |
| Last Modified: | 21 Nov 2023 05:17 |
| URI: | http://info.submit4journal.com/id/eprint/3102 |
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