Karabük – Zonguldak Hattında Demiryolu Hat Kapasitesinin Modellenmesi

Year 2022, Volume: 25 Issue: 4, 1817 - 1825, 16.12.2022

Mehmet Emin Akay , Hilmi Aygün

https://doi.org/10.2339/politeknik.884305

Cited By: 1

Abstract

Bu çalışmada, Karabük-Zonguldak parkurundaki tek hatlı demiryolunda yolcu treni işletmeciliği incelenmiştir. Bu demiryolu hattında bekleme ve gecikmelerle ilgili sorunlara çözüm aranarak, en optimum tarife bulunmaya çalışılmıştır. Araştırmada 10 istasyonlu ve günlük çift yönlü 8 adet yolcu treninin çalıştığı Karabük-Zonguldak hattında, çalıştırılabilecek “günlük tren kapasitesi” incelenmiş, parçacık sürüsü optimizasyonu (PSO) tabanlı programlama modeli uygulanmıştır. Bu modelde Karabük-Zonguldak arasındaki 116,6 km’lik parkur ele alınmıştır. Önerilen yöntemin benzetim çalışması MATLAB programı ile gerçekleştirilmiştir. Modelleme sonucunda, sağlanan verilere göre, tren hareket saatleri yeniden düzenlenerek, gecikmelerde % 65 oranında iyileşme sağlandığı benzetim ile ortaya konulmuştur.

Keywords

Demiryolu kapasitesi, çizelgeleme, gecikme, benzetim, parçacık sürüsü optimizasyonu

Modeling Railway Line Capacity on Karabuk – Zonguldak Line

Abstract

In this study, passenger train operation on the single track railway on the Karabük-Zonguldak track was examined. A solution was sought for the problems related to waiting and delays on this railway line and the optimum tariff was tried to be found. In the study, "daily train capacity" that can be operated on the Karabük-Zonguldak line, where 10-station and 8 daily passenger trains with both directions are operating, was examined and a particle swarm optimization (PSO) based programming model was applied. In this model, the track of 116.6 km between Karabük and Zonguldak is considered. The simulation study of the proposed method was carried out with the MATLAB program. As a result of the modeling, according to the data provided, the train departure times were rearranged and it was demonstrated with the simulation that 65% improvement was achieved in delays.

Keywords

Railway capacity, scheduling, tardiness, simulation, particle swarm optimization

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