Predicting Future Road Lengths in Rural Areas Across India

Abstract

The main goal of this research article is to apply the ARIMA (Auto regressive Integrated Moving average) model to anticipate the length of rural roads in India over the next five years. Given that India is in a critical stage of infrastructure development to draw in foreign direct investments, this becomes imperative. The data Used for this research paper is of secondary in nature and is extracted from government website MORTH (Ministry of road transport and highways India).We conduct an arima model using this data set in which we first conduct a time series analysis to find the trend line and find the stationarity of the model if the stationarity is not found we conduct difference of various orders until the model obtain’s stationarity we then Find out the MAPE value (Mean average percentage error) of different models to find the most suitable model And then predict the future road lens for the next five years from the obtained model. This data is crucial for stakeholders for investment in rural India.