Akıllı ulaşım sistemleri test ortamı üzerinde kendi kendilerini organize eden araç ağı kullanarak dağıtım ve geri taşıma sorunlarının analizi

Yıl 2025, Cilt: 14 Sayı: 4

Yonal Kırsal , Vishnu V. Paranthaman

Öz

Bu çalışma, akıllı ulaşım sistemleri (ITS–Intelligent Transportation Systems) test ortamında, kendi kendini organize eden araçlara dayalı araçlar arası ağların (VANETs –Vehicular Ad-Hoc Networks) dağıtım ve geri taşıma sorunlarını analiz etmeyi amaçlamaktadır. Middlesex Üniversitesi Hendon Kampüsü ve A41 otoyolu çevresinde kurulan test platformu, 5.9 GHz frekansında çalışan yol kenarı üniteleri ve araç içi üniteler kullanılarak gerçek dünya koşullarında sinyal yayılımını incelemektedir. Çalışmada, Serbest Uzay Yol Kaybı, İki Işınlı Zemin Yansıma, Log-Mesafe Yol Kaybı ve Hızlı Solma ile Serbest Uzay Yolu Kaybı modellerini karşılaştırılarak kentsel ve otoyol ortamlarında en uygun yayılım modeli belirlenmiştir. Bulgular, otoyol senaryolarında Serbest Uzay Yol Kaybı ve de Hızlı Solma ile Serbest Uzay Yol Kaybı modelinin, kentsel alanlarda ise Log-Mesafe Yol Kaybı modelinin daha tutarlı sonuçlar verdiğini göstermektedir. Ayrıca, kablolu geri taşıma sisteminin düşük gecikme süreleriyle üstün performans sergilediği, LTE tabanlı geri taşımanın ise yüksek gecikmeler nedeniyle ITS uygulamaları için sınırlamalar taşıdığı ortaya konmuştur. Bu sonuçlar, VANET tabanlı ITS altyapısının etkin dağıtımı ve optimizasyonu için önemli ipuçları sunmaktadır.

Anahtar Kelimeler

Araçlar Arası Ağ , Akıllı Ulaşım Sistemi , Yayılım Modeli , Geri Taşıma

Teşekkür

Yazarlar, Middlesex Üniversitesi VANET ekibine ve Dr. Glenford Mapp'a rehberlikleri, önerileri ve yardımları için teşekkür etmektedir. Dr. Glenford Mapp, Ulaştırma Bakanlığı'ndan (DfT) fon almış olup, Middlesex Üniversitesi VANET araştırma ekibinin başıdır. Dr. Yönal Kırsal, MDX VANET araştırma ekibinin misafir üyesidir.

An analysis of deployment and backhaul issues a cooperative-intelligent transport systems testbed using vehicular ad-hoc network

Öz

This study aims to analyze deployment and backhaul issues in an Intelligent Transport Systems (ITS) testbed using Vehicular Ad-hoc Networks (VANETs) based on self-organising vehicles. The test platform is conducted at Middlesex University’s Hendon Campus and the A41 highway. It is operated at 5.9 GHz to evaluate signal propagation under real-world conditions. The research compares Free Space Path Loss, Two-Ray Ground Reflection, Log-Distance Path Loss, and Free Space Path Loss Fast-Fading models to identify the most suitable propagation model for urban and highway environments. Findings indicate that the Free Space Path Loss and Free Space Path Loss Fast-Fading models perform consistently in highway scenarios, while the Log-Distance Path Loss model better aligns with urban settings. Additionally, wired backhaul systems demonstrate superior performance with low latency, whereas LTE-based backhaul exhibits high delays, posing limitations for ITS applications. These results provide valuable insights for effectively deploying and optimising VANET-based ITS infrastructure, highlighting the importance of tailored propagation models and reliable backhaul strategies to enhance network performance.

Anahtar Kelimeler

Vehicular Ad-hoc Network , Intelligent Transport System , propagation model , backhaul.

Kaynakça

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