Forecasting Railway Passengers Demand Using Holt-Winter Method With R Statistical Tool

Holt-Winter Double exponential smoothing is a statistical method that can be used to forecast the demand of any object with time and seasonality statistics. This paper explores how we can use that method adopted to railway passengers' demand forecasting with the help of a software tool R which can support both Arithmetic and Statistical methods. This tool simply accepts the Input in proper format and forecasts the demand without the assistance of any other layouts which can be used in normal statistical methods to produce the result. R is a built in tool with graphical layouts. This paper explains how we can forecast demand with Exponential smoothing method using R tool.