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 dil | İngilizce |
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Ana bilgisayar yayını başlığı | Computer Aided Systems Theory – EUROCAST 2015 - 15th International Conference, Revised Selected Papers |
Editörler | Franz Pichler, Roberto Moreno-Díaz, Alexis Quesada-Arencibia |
Yayınlayan | Springer Verlag |
Sayfalar | 756-764 |
Sayfa sayısı | 9 |
ISBN (Basılı) | 9783319273396 |
DOI'lar | |
Yayın durumu | Yayınlandı - 2015 |
Etkinlik | 15th International Conference on Computer Aided Systems Theory, EUROCAST 2015 - Las Palmas de Gran Canaria, Spain Süre: 8 Şub 2015 → 13 Şub 2015 |
Yayın serisi
Adı | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Hacim | 9520 |
ISSN (Basılı) | 0302-9743 |
ISSN (Elektronik) | 1611-3349 |
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???event.eventtypes.event.conference??? | 15th International Conference on Computer Aided Systems Theory, EUROCAST 2015 |
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Ülke/Bölge | Spain |
Şehir | Las Palmas de Gran Canaria |
Periyot | 8/02/15 → 13/02/15 |
Bibliyografik not
Publisher Copyright:© Springer International Publishing Switzerland 2015.