Forecasting the Number of Road Accidents in Poland Depending on the Day of the Week using Neural Networks

Piotr Gorzelańczyk, H. Tylicki
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Abstract

Abstract The number of road accidents in the world is decreasing year by year. This number has been affected by the pandemic in recent years but is still very high. Therefore, it is necessary to take all possible measures and steps to reduce this number. The objective of the article is to forecast the number of road accidents in Poland depending on the day of the week. For this purpose, the annual data on the number of road accidents in Poland broken down by days of the week were analyzed, and a forecast for the years 2022-2040 was prepared on the basis of the police statistics. The forecast was made using selected models of neural networks. The research results show that a decrease in in the number of road accidents can be expected. However, the obtained results could be affected by the selected number of random samples (training, testing and validation).
使用神经网络预测波兰道路交通事故的数量,取决于一周中的一天
世界上道路交通事故的数量正在逐年下降。这一数字近年来受到大流行病的影响,但仍然很高。因此,有必要采取一切可能的措施和步骤来减少这一数字。这篇文章的目的是预测波兰道路交通事故的数量,这取决于一周中的一天。为此目的,分析了波兰按星期划分的道路交通事故数量的年度数据,并根据警方的统计数据编制了2022-2040年的预测。使用选定的神经网络模型进行预测。研究结果表明,道路交通事故的数量减少是可以预期的。然而,所获得的结果可能会受到所选随机样本数量(训练、测试和验证)的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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