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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Main Authors: Adnan Abdulvahitoğlu, Danışment Vural, Aslı Abdulvahitoğlu
Format: Article
Language:English
Published: University of Zagreb, Faculty of Transport and Traffic Sciences 2023-12-01
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.
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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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AT danısmentvural optimisingtrafficsafetylocatingtrafficgendarmesbasedonmulticriteriadecisionmaking
AT aslıabdulvahitoglu optimisingtrafficsafetylocatingtrafficgendarmesbasedonmulticriteriadecisionmaking