Optimising Traffic Safety – Locating Traffic Gendarmes Based on Multi-Criteria Decision Making
Turkey’s expanding population and growing economy have resulted in a significant increase in automobile ownership, leading to a rise in traffic volume and, subsequently, an increase in the number of accidents. The increase in the number of deaths and injuries caused by traffic accidents has motivate...
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Format: | Article |
Language: | English |
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University of Zagreb, Faculty of Transport and Traffic Sciences
2023-12-01
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Series: | Promet (Zagreb) |
Subjects: | |
Online Access: | https://traffic2.fpz.hr/index.php/PROMTT/article/view/318 |
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author | Adnan Abdulvahitoğlu Danışment Vural Aslı Abdulvahitoğlu |
author_facet | Adnan Abdulvahitoğlu Danışment Vural Aslı Abdulvahitoğlu |
author_sort | Adnan Abdulvahitoğlu |
collection | DOAJ |
description | Turkey’s expanding population and growing economy have resulted in a significant increase in automobile ownership, leading to a rise in traffic volume and, subsequently, an increase in the number of accidents. The increase in the number of deaths and injuries caused by traffic accidents has motivated authorities and automobile manufacturers to work together to mitigate the impact of traffic accidents. Therefore, the demand for better roads, modern technologies and higher-quality driver training is becoming increasingly urgent for traffic safety. Due to the scale of harm to the country’s economy and society caused by the material and moral losses, resulting from traffic accidents, traffic safety and management is one of the most important government initiatives. One of the responsible units of traffic safety and management in Turkey is the traffic gendarme. This study reviewed the categories of traffic accidents, the number of accidents, and the road network that occurred in a province's gendarme responsibility area in Turkey and linked them with the number of traffic gendarmes in that province. Thus, the study utilised mixed integer programming based on multi-criteria decision-making methods to identify the areas where these traffic gendarmes will be deployed according to established principles. |
first_indexed | 2024-03-08T11:35:25Z |
format | Article |
id | doaj.art-826359601ee4472f9ea6a025672adcaa |
institution | Directory Open Access Journal |
issn | 0353-5320 1848-4069 |
language | English |
last_indexed | 2024-03-08T11:35:25Z |
publishDate | 2023-12-01 |
publisher | University of Zagreb, Faculty of Transport and Traffic Sciences |
record_format | Article |
series | Promet (Zagreb) |
spelling | doaj.art-826359601ee4472f9ea6a025672adcaa2024-01-25T11:51:02ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692023-12-0135680081310.7307/ptt.v35i6.318318Optimising Traffic Safety – Locating Traffic Gendarmes Based on Multi-Criteria Decision MakingAdnan Abdulvahitoğlu0Danışment Vural1https://orcid.org/0000-0003-4028-3810Aslı Abdulvahitoğlu2Department of Law Enforcement, Gendarmerie and Coast Guard AcademyDepartment of Industrial Engineering, Atılım UniversityDepartment of Mechanical Engineering, Alparslan Türkeş Science and Technology UniversityTurkey’s expanding population and growing economy have resulted in a significant increase in automobile ownership, leading to a rise in traffic volume and, subsequently, an increase in the number of accidents. The increase in the number of deaths and injuries caused by traffic accidents has motivated authorities and automobile manufacturers to work together to mitigate the impact of traffic accidents. Therefore, the demand for better roads, modern technologies and higher-quality driver training is becoming increasingly urgent for traffic safety. Due to the scale of harm to the country’s economy and society caused by the material and moral losses, resulting from traffic accidents, traffic safety and management is one of the most important government initiatives. One of the responsible units of traffic safety and management in Turkey is the traffic gendarme. This study reviewed the categories of traffic accidents, the number of accidents, and the road network that occurred in a province's gendarme responsibility area in Turkey and linked them with the number of traffic gendarmes in that province. Thus, the study utilised mixed integer programming based on multi-criteria decision-making methods to identify the areas where these traffic gendarmes will be deployed according to established principles.https://traffic2.fpz.hr/index.php/PROMTT/article/view/318traffictraffic safetytraffic gendarmesmulti-criteria decision makingcriticmixed integer programming |
spellingShingle | Adnan Abdulvahitoğlu Danışment Vural Aslı Abdulvahitoğlu Optimising Traffic Safety – Locating Traffic Gendarmes Based on Multi-Criteria Decision Making Promet (Zagreb) traffic traffic safety traffic gendarmes multi-criteria decision making critic mixed integer programming |
title | Optimising Traffic Safety – Locating Traffic Gendarmes Based on Multi-Criteria Decision Making |
title_full | Optimising Traffic Safety – Locating Traffic Gendarmes Based on Multi-Criteria Decision Making |
title_fullStr | Optimising Traffic Safety – Locating Traffic Gendarmes Based on Multi-Criteria Decision Making |
title_full_unstemmed | Optimising Traffic Safety – Locating Traffic Gendarmes Based on Multi-Criteria Decision Making |
title_short | Optimising Traffic Safety – Locating Traffic Gendarmes Based on Multi-Criteria Decision Making |
title_sort | optimising traffic safety locating traffic gendarmes based on multi criteria decision making |
topic | traffic traffic safety traffic gendarmes multi-criteria decision making critic mixed integer programming |
url | https://traffic2.fpz.hr/index.php/PROMTT/article/view/318 |
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