Evaluation of the turkish highway network analysis with traffic data
Küçük Resim Yok
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
As a complex geospatial structure, Turkish nationalhighway transportation network is studied by the means ofnetwork science. We used the dataset retrieved from the KGM(Karayolları Genel Müdürlüğü) maps with a hand-driven process.The dataset labels the junctions in the map as nodes, and the roadsbetween these junctions as edges. We outlined the statisticalproperties of the Turkish highway transportation network by themeans of eigenvector, betweenness, closeness centrality,modularity and eccentricity measures, while comparativepercentile plots between these measures are also performed. Weinvestigated the correlation of these parameters with the trafficvolume, and outlined that only eccentricity measure is correlatedwith the traffic volume. We also investigated the degreecorrelations of the network and found that the network displaysdisassortative mixing behavior, meaning that nodes with highdegrees tend to connect with lower degree nodes, and vice versa.This property is consistent with the recent studies oftransportation networks, as well as various types of real networkslike Internet, World-Wide Web, protein interactions, neuralnetwork etc.
Açıklama
Anahtar Kelimeler
Mühendislik, Biyotıp, Mühendislik, Elektrik ve Elektronik, Bilgisayar Bilimleri, Yazılım Mühendisliği, Yeşil, Sürdürülebilir Bilim ve Teknoloji, Telekomünikasyon, Bilgisayar Bilimleri, Sibernitik, Bilgisayar Bilimleri, Bilgi Sistemleri, Bilgisayar Bilimleri, Donanım ve Mimari, Bilgisayar Bilimleri, Teori ve Metotlar, Bilgisayar Bilimleri, Yapay Zeka
Kaynak
Balkan Journal of Electrical and Computer Engineering
WoS Q Değeri
Scopus Q Değeri
Cilt
6
Sayı
1
