Clustering traffic flow patterns by fuzzy c-means method: Some preliminary findings

Mehmet Ali Silgu*, Hilmi Berk Celikoglu

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

23 Atıf (Scopus)

Özet

In this paper, performance of fuzzy c-means clustering method in specifying flow patterns, which are reconstructed by a macroscopic flow model, is sought using microwave radar data on fundamental variables of traffic flow. Traffic flow is simulated by the cell transmission model adopting a two-phase triangular fundamental diagram. Flow dynamics specific to the selected freeway test stretch are used to determine prevailing traffic conditions. The performance of fuzzy c-means clustering is evaluated in two cases, with two assumptions. The procedure fuzzy clustering method follows is systematically dynamic that enables the clustering, and hence partitions, over the fundamental diagram specific to selected temporal resolution. It is seen that clustering simulation with dynamic pattern boundary assumption performs better for almost all the steps of data expansion when considered to simulation with the corresponding static case.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıComputer Aided Systems Theory – EUROCAST 2015 - 15th International Conference, Revised Selected Papers
EditörlerFranz Pichler, Roberto Moreno-Díaz, Alexis Quesada-Arencibia
YayınlayanSpringer Verlag
Sayfalar756-764
Sayfa sayısı9
ISBN (Basılı)9783319273396
DOI'lar
Yayın durumuYayınlandı - 2015
Etkinlik15th International Conference on Computer Aided Systems Theory, EUROCAST 2015 - Las Palmas de Gran Canaria, Spain
Süre: 8 Şub 201513 Şub 2015

Yayın serisi

AdıLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Hacim9520
ISSN (Basılı)0302-9743
ISSN (Elektronik)1611-3349

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???15th International Conference on Computer Aided Systems Theory, EUROCAST 2015
Ülke/BölgeSpain
ŞehirLas Palmas de Gran Canaria
Periyot8/02/1513/02/15

Bibliyografik not

Publisher Copyright:
© Springer International Publishing Switzerland 2015.

Parmak izi

Clustering traffic flow patterns by fuzzy c-means method: Some preliminary findings' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap