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Optimization of Traffic Accident Quantity Estimation Method Synergy of Factors Affecting Traffic Accident Quantity with Raw Values
Stanislaw Staszic State University of Applied Sciences in Pila, ul. Podchorazych 10, 64-920 Pila, Poland
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Received: 19 September 2023 Accepted: 29 December 2023 Published: 13 February 2024
Abstract
As the number of vehicles on the road increases, traffic accidents are becoming more destructive, causing loss of life and work. This is due to rapid population growth and the development of motorization. The most important challenge in estimating and studying information about street twists of fate is the small amount of facts available for this analysis. Although car accidents kill and injure millions of people around the world each year, they are rare in time and space. The motive of this article is to advise an effective approach to estimating the number of accidents on Poland’s roads, based primarily on a combination of factors affecting such layered situations. The methodology presented in this paper for the use of multi-criteria optimization procedures using a multi-criteria optimization model (a set of forecasting methods, sub-criteria of the criterion function, and elements of the dominance relationship) allows us to conclude that the above methodology can be used to optimize methods for forecasting road accidents in Poland.
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Keywords
traffic accidents; the synergy of factors affecting the variety of traffic accidents; forecasting methods; multi-criteria optimization
Copyright © 2024
Gorzelanczyk and Tylicki. This article is distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use and distribution provided that the original work is properly cited.
Funding
The article was financed by the university’s own funds.
Cite this Article
Gorzelanczyk, P., & Tylicki, H. (2024). Optimization of Traffic Accident Quantity Estimation Method Synergy of Factors Affecting Traffic Accident Quantity with Raw Values. Highlights of Vehicles, 2(1), 1–12. https://doi.org/10.54175/hveh2010001
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