Abstract
An important aspect of smart management in emergency response systems (ERS) is utilising the data generated for optimal productivity. This study intends to present evidence of the utilisation of such data by using forecasting models. The study has been done in one of the police control rooms in a metropolitan city of India, where the 100 dial facility gives easy access to the citizens for quick response in emergency situations. We analyse the historical call volume data available at the ERS for its patterns of seasonality and trend components by working on a time series model. The auto regressive integrated moving average (ARIMA) models are used to model the data and adequacy tests are performed to test the suitability of the model. The forecasted values, thus received for the calls from the chosen model eventually help in planning the resources for operating the emergency response system.
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