Delay modelling at unsignalized highway nodes with radial basis function neural networks

Hilmi Berk Celikoglu*, Mauro Dell'Orco

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Özet

In vehicular traffic modelling, the effect of link capacity on travel times is generally specified through a delay function. In this paper, the Radial Basis Function Neural Network (RBFNN) method, integrated into a dynamic network loading process, is utilized to model delays at a highway node. The results of the model structure have then been compared to evaluate the relative performance of the integrated neural network method.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıAdvances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings
YayınlayanSpringer Verlag
Sayfalar562-571
Sayfa sayısı10
BaskıPART 1
ISBN (Basılı)9783540723820
DOI'lar
Yayın durumuYayınlandı - 2007
Etkinlik4th International Symposium on Neural Networks, ISNN 2007 - Nanjing, China
Süre: 3 Haz 20077 Haz 2007

Yayın serisi

AdıLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SayıPART 1
Hacim4491 LNCS
ISSN (Basılı)0302-9743
ISSN (Elektronik)1611-3349

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???event.eventtypes.event.conference???4th International Symposium on Neural Networks, ISNN 2007
Ülke/BölgeChina
ŞehirNanjing
Periyot3/06/077/06/07

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