Traffic Light Optimization At Intersections: A Case Study In Ankara City

Tuğçe İnağ; Murat Arıkan

Makale detayları

Traffic Light Optimization At Intersections: A Case Study In Ankara City

Yazarlar:

Tuğçe İnağ | Murat Arıkan

Yayıncı:

Gazi University

Ana Başlıklar:

Ulaşım ve Trafik | Endüstri Mühendisliği

Dergi:

Politeknik Dergisi Vol.28 Issue 1, pp.45-58

Belge Tipi:

Makale

Yayın Tarihi:

1/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001339486

pISSN:

2147-9429

Anahtar kelimeler:

Özet:

 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.

 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.

 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.

Makale detayları

Traffic Light Optimization At Intersections: A Case Study In Ankara City

Yazarlar:

Tuğçe İnağ | Murat Arıkan

Yayıncı:

Gazi University

Ana Başlıklar:

Ulaşım ve Trafik | Endüstri Mühendisliği

Dergi:

Politeknik Dergisi Vol.28 Issue 1, pp.45-58

Belge Tipi:

Makale

Yayın Tarihi:

1/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001339486

pISSN:

2147-9429

Traffic light management

Webster

Ant colony algorithm

Modify websterTrafik ışık optimizasyonu

Webster yöntemi

Karınca kolonisi algoritması

Modifiye Webster yöntemi

Sayı

Makale detayları

Yazarlar: Tuğçe İnağ | Murat Arıkan

Yayıncı: Gazi University

Ana Başlıklar: Ulaşım ve Trafik | Endüstri Mühendisliği

Dergi: Politeknik Dergisi Vol.28 Issue 1, pp.45-58

Belge Tipi: Makale

Yayın Tarihi: 1/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001339486

pISSN: 2147-9429

Sayı

Yazarlar:

Tuğçe İnağ | Murat Arıkan

Yayıncı:

Gazi University

Ana Başlıklar:

Ulaşım ve Trafik | Endüstri Mühendisliği

Dergi:

Politeknik Dergisi Vol.28 Issue 1, pp.45-58

Belge Tipi:

Makale

Yayın Tarihi:

1/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001339486

pISSN:

2147-9429