Forecasting Road Accident Deaths in India Using SARIMA

Saurabh Kumar
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Abstract

Road accidents are one of the leading causes of death worldwide. The present study analysed the pattern of road accident deaths in India from the year 2014 till the year 2022. The data was taken from the government website, and we have split it into training and testing datasets. The training dataset was from the year 2014 to 2020, and the forecasting was done for the years 2021 and 2022. We have used the SARIMA model to forecast the number of road accidents in India for the years 2021 and 2022. The accuracy of the SARIMA model in forecasting the number of road accidents in India is also established in the present study. The study has insights for policymakers and administrators. Some of the policies that can be enforced to decrease the number of road accidents in India are better road infrastructure for vehicles across India, enforcement of safety regulations, easy access to trauma care centres, strictly following the speed limits on the road and so on.
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利用 SARIMA 预测印度道路事故死亡人数
交通事故是导致全球死亡的主要原因之一。本研究分析了印度从 2014 年到 2022 年的交通事故死亡模式。数据来自政府网站,我们将其分为训练数据集和测试数据集。训练数据集为 2014 年至 2020 年的数据,预测数据集为 2021 年和 2022 年的数据。我们使用 SARIMA 模型预测了 2021 年和 2022 年印度的交通事故数量。本研究还确定了 SARIMA 模型在预测印度道路交通事故数量方面的准确性。本研究为政策制定者和管理者提供了启示。为减少印度的道路交通事故数量,可以实施的一些政策包括:改善全印度车辆的道路基础设施、执行安全法规、方便前往创伤护理中心、严格遵守道路限速规定等。
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