Time Horizon for Forecasting the Number of Traffic Accidents
DOI:
https://doi.org/10.47852/bonviewAAES42023400Keywords:
forecasting, traffic accident, time horizonAbstract
On Polish roads, there are more and more automobiles each year. This results in more people using the roadways. Because of this, the threat posed by traffic accidents, which involve the loss of human life and financial resources, is quickly expanding. The rise of motorization and the quickening expansion of the human population are to blame for this. The tiny amount of the dataset that may be utilized for research in this respect is the major problem in anticipating and evaluating data on road accidents. Despite the fact that road accidents result in millions of lives and injuries worldwide each year, they are not very common. Traffic accidents are still quite common despite the pandemic's reduction. The aim of the essay is to evaluate the temporal horizon of the predicted number of traffic accidents. For this reason, an estimate of the expected number of traffic accidents in the future years was made, and its effect on the average percentage error of the projection was computed. Based on the analysis of the input data on the number of road accidents (annual and monthly), the results show that monthly and annual data can be forecast up to six years in advance.
Received: 11 May 2024 | Revised: 20 August 2024 | Accepted: 2 September 2024
Conflicts of Interest
The author declares that he has no conflicts of interest to this work.
Data Availability Statement
Data available on request from the corresponding author upon reasonable request.
Author Contribution Statement
Piotr Gorzelańczyk: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Author
This work is licensed under a Creative Commons Attribution 4.0 International License.