KAZA-OLAY TESPİT ALGORİTMALARINA GENEL BAKIŞ

Kentsel trafik sıkışıklığı, ulaşımı olumsuz etkileyen ve giderek ciddileşen ulusal bir sorundur. Türkiye’de yolcuların maruz kaldığı gecikme, hem aşırı yoğun trafik gibi tekrarlayan hem de kaza, hava şartları, özel durumlar, yol yapım ve onarım çalışmaları gibi tekrarlanmayan olaylardan kaynaklanmaktadır. A.B.D.’de, yolcuların harcadığı toplam bekleme süresine yaklaşık yarısı tekrarlanmayan sıkışıklıklar neden olmaktadır (Bertini, 2004; Lindley, 1986; Bertini, 2001). Dolayısıyla, birçok kentsel bölgede sıkışıklık yönetim stratejileri, özellikle de tekrarlanmayan sıkışıklıklarla alakalı olanlar aktif olarak kullanılmaktadır. Sıkışıklık yönetimi için en geçerli yöntemlerden biri kaza-olay yönetimidir. Kaza-olay tespiti, kaza-olay yönetiminin güvenilirliğini ve etkinliğini belirlediği için önemi büyüktür. Bu çalışma, şehir yollarında güvenliği iyileştirmek ve mobiliteyi arttırmak için kaza-olaylara hızlı bir şekilde karşılık verilmesini amaçlayan mevcut kaza-olay tespit algoritmaları hakkında bilgi sağlayacaktır.

OVERVIEW OF INCIDENT DETECTION ALGORITHMS

Urban congestion is a growing national problem that affects our mobility. Delay experienced by travelers in Turkey is due to both recurring congestion caused by high traffic volume and non-recurring congestion results from incidents such as crashes, vehicle breakdowns, weather, special events, construction and maintenance activities. In the United States, approximately one-half of the delay is caused by nonrecurring congestion (Bertini, 2004; Lindley, 1986; Bertini, 2001). Therefore many urban areas are actively pursuing congestion management strategies, especially those associated with non-recurrent congestion. Incident detection is a crucial as it determines the reliability and efficiency of the whole incident management system. This study focuses on available incident detection algorithms that are designed to improve mobility and enhance safety by rapidly responding to incidents

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