Research Article

Forecasting of defects causing traffic accidents using time series analysis methods

Volume: 28 Number: 1 January 14, 2026
EN TR

Forecasting of defects causing traffic accidents using time series analysis methods

Abstract

Traffic accidents can cause millions of people to lose their lives, get injured and lose money every year. Many factors can be mentioned in the occurrence of traffic accidents that have such a big impact. The analysis of these factors and taking steps for the future are great importance in terms of transportation safety. In this study, the defects that cause traffic accidents were examined in five categories. Using time series analysis models, a forecast was made for the values of the defects until 2030. The study concluded that there would be an increase in driver defects which have the highest rate in the occurrence of traffic accidents and in road defect values, while pedestrian and passenger defect values would remain stable, and there would be a decrease in road defect values. Considering the findings obtained, suggestions were presented for all stakeholders creating traffic according to the vision zero understanding.

Keywords

References

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Details

Primary Language

English

Subjects

Transportation and Traffic

Journal Section

Research Article

Early Pub Date

January 14, 2026

Publication Date

January 14, 2026

Submission Date

October 25, 2024

Acceptance Date

November 9, 2025

Published in Issue

Year 2026 Volume: 28 Number: 1

APA
Paçacı, B., Kasap, R., & Çubuk, K. (2026). Forecasting of defects causing traffic accidents using time series analysis methods. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 28(1), 274-283. https://doi.org/10.25092/baunfbed.1573568
AMA
1.Paçacı B, Kasap R, Çubuk K. Forecasting of defects causing traffic accidents using time series analysis methods. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2026;28(1):274-283. doi:10.25092/baunfbed.1573568
Chicago
Paçacı, Burçin, Reşat Kasap, and Kürşat Çubuk. 2026. “Forecasting of Defects Causing Traffic Accidents Using Time Series Analysis Methods”. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi 28 (1): 274-83. https://doi.org/10.25092/baunfbed.1573568.
EndNote
Paçacı B, Kasap R, Çubuk K (January 1, 2026) Forecasting of defects causing traffic accidents using time series analysis methods. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi 28 1 274–283.
IEEE
[1]B. Paçacı, R. Kasap, and K. Çubuk, “Forecasting of defects causing traffic accidents using time series analysis methods”, Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 28, no. 1, pp. 274–283, Jan. 2026, doi: 10.25092/baunfbed.1573568.
ISNAD
Paçacı, Burçin - Kasap, Reşat - Çubuk, Kürşat. “Forecasting of Defects Causing Traffic Accidents Using Time Series Analysis Methods”. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi 28/1 (January 1, 2026): 274-283. https://doi.org/10.25092/baunfbed.1573568.
JAMA
1.Paçacı B, Kasap R, Çubuk K. Forecasting of defects causing traffic accidents using time series analysis methods. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2026;28:274–283.
MLA
Paçacı, Burçin, et al. “Forecasting of Defects Causing Traffic Accidents Using Time Series Analysis Methods”. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 28, no. 1, Jan. 2026, pp. 274-83, doi:10.25092/baunfbed.1573568.
Vancouver
1.Burçin Paçacı, Reşat Kasap, Kürşat Çubuk. Forecasting of defects causing traffic accidents using time series analysis methods. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2026 Jan. 1;28(1):274-83. doi:10.25092/baunfbed.1573568

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