TRAFFIC LIGHT OPTIMIZATION AT INTERSECTIONS: A CASE STUDY IN ANKARA CITY

Year 2024, EARLY VIEW, 1 - 1

Tuğçe İnağ , Murat Arıkan

https://doi.org/10.2339/politeknik.1369924

Abstract

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.

Keywords

Traffic light management, Webster, Ant colony algorithm, Modify webster

KAVŞAKLARDA TRAFİK IŞIK OPTİMİZASYONU: ANKARA İLİ’NDE BİR UYGULAMA

Abstract

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.

Keywords

Trafik ışık optimizasyonu, Webster yöntemi, Karınca kolonisi algoritması, Modifiye Webster yöntemi

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