Abstract
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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Celikoglu, H. B., & Dell’Orco, M. (2007). Delay modelling at unsignalized highway nodes with radial basis function neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4491 LNCS, pp. 562–571). Springer Verlag. https://doi.org/10.1007/978-3-540-72383-7_67
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