Methodology for Optimizing Factors Affecting Road Accidents in Poland

Author:

Gorzelanczyk Piotr1,Tylicki Henryk1

Affiliation:

1. Transport Department, Stanislaw Staszic State University of Applied Sciences in Pila, ul. Podchorazych 10, 64-920 Pila, Poland

Abstract

With the rapid increase in the number of vehicles on the road, traffic accidents have become a rapidly growing threat, causing the loss of human life and economic assets. The reason for this is the rapid growth of the human population and the development of motorization. The main challenge in predicting and analyzing traffic accident data is the small size of the dataset that can be used for analysis in this regard. While traffic accidents cause, globally, millions of deaths and injuries each year, their density in time and space is low. The purpose of this article is to present a methodology for determining the role of factors influencing road accidents in Poland. For this purpose, multi-criteria optimization methods were used. The results obtained allow us to conclude that the proposed solution can be used to search for the best solution for the selection of factors affecting traffic accidents. Furthermore, based on the study, it can be concluded that the factors primarily influencing traffic accidents are weather conditions (fog, smoke, rainfall, snowfall, hail, or cloud cover), province (Lower Silesian, Lubelskie, Lodzkie, Malopolskie, Mazovian, Opolskie, Podkarpackie, Pomeranian, Silesian, Warmian-Masurian, and Greater Poland), and type of road (with two one-way carriageways; two-way, single carriageway road). Noteworthy is the fact that all days of the week also affect the number of vehicle accidents, although most of them occur on Fridays.

Publisher

MDPI AG

Subject

General Medicine

Reference57 articles.

1. WHO (2018). Global Status Report on Road Safety 2020, World Health Organization. Available online: https://www.who.int/violence_injury_prevention/road_safety_status/report/en/.

2. (2022, May 02). Eurostat. Available online: https://ec.europa.eu/eurostat.

3. (2022, May 02). Police Statistics. Available online: https://statystyka.policja.pl/.

4. Diagnostic analysis of the effects of weather condition on pedestrian crash severity;Zhai;Accid. Anal. Prev.,2019

5. The effect of age, gender and driver status on pedestrians’ intentions to cross the road in risky situations;Holland;Accid. Anal. Prev.,2007

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Characterization of traffic accidents for urban road safety;Revista Facultad de Ingeniería Universidad de Antioquia;2023-11-22

2. URBAN TRAFFIC CRASH ANALYSIS USING DEEP LEARNING TECHNIQUES;Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska;2023-09-30

3. The impact of the Covid -19 pandemic on the frequency of vehicle accidents in Poland;The Archives of Automotive Engineering – Archiwum Motoryzacji;2023-03-31

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3