Politeknik Dergisi 2147-9429 Gazi University 10.2339/politeknik.1369924 Transportation and Traffic Industrial Engineering Ulaşım ve Trafik Endüstri Mühendisliği Traffic Light Optimization At Intersections: A Case Study In Ankara City Kavşaklarda Trafik Işık Optimizasyonu: Ankara İli’nde Bir Uygulama https://orcid.org/0000-0002-8800-6727 İnağ Tuğçe GAZI UNIVERSITY https://orcid.org/0000-0003-1437-8939 Arıkan Murat GAZİ ÜNİVERSİTESİ 01 24 2025 28 1 45 58 10 02 2023 04 22 2024 Copyright © 1998, Journal of Polytechnic 1998 Journal of Polytechnic

The increasing population and the growing number of vehicles due to the population have made traffic congestion a significant problem. One of the most common places for traffic congestion is intersections. The main aim of this study is to improve traffic light management at the Polatlı Refik Cesur intersection, where high-density traffic is observed and vehicle queues form. To achieve the objectives, a simulation-based solution approach is proposed, together with the Webster and Modified Webster-based Ant Colony Algorithm (ACA), to determine the most suitable value for the traffic light cycle and minimize the average delay time of vehicles. The SUMO (Simulation of Urban Mobility) simulation platform was used in the implementation. The calculation results have shown that, compared to the current situation, the delay time decreased by approximately 32% and 42% with the Webster-based ACA and Modified Webster-based ACA methods, respectively. As a result, better management of cycle times and green light durations reduces traffic congestion, decreases the average waiting times for vehicles, and improves traffic flow.

Giderek artan nüfus ve nüfusa bağlı artan araç sayısı trafik sıkışıklığını önemli bir sorun haline getirmektedir. Trafik sıkışıklığının en yaygın olduğu yerlerden biri kavşaklardır. Bu çalışmanın temel amacı, yüksek yoğunluklu trafiğin gözlemlendiği ve araç kuyruklarının oluştuğu Polatlı Refik Cesur kavşağındaki trafik ışık yönetimini iyileştirmektir. Hedeflere ulaşmak için, trafik ışığı döngüsünün en uygun değerini belirleyerek araçların ortalama gecikme süresini en aza indirmek amacıyla Webster ve Modifiye Webster tabanlı Karınca Kolonisi algoritması (KKA) ile birlikte simülasyon tabanlı bir çözüm yaklaşımı önerilmiştir. Uygulamada SUMO (Simulation of Urban Mobility) simülasyon platformu kullanılmıştır. Hesaplama sonuçları, gecikme süresinin mevcut duruma göre, Webster tabanlı KKA ve Modifiye Webster tabanlı KKA yöntemleri ile ortalama bekleme süresi değerlerini sırasıyla %32 ve %42 oranlarında azaltığını göstermiştir. Sonuç olarak, devre süresinin ve yeşil ışık sürelerinin daha iyi yönetilmesi, trafik sıkışıklığını ve araç ortalama bekleme sürelerini azaltmakta ve trafik akışının düzelmesini sağlamaktadır.

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