Radial basis functions for multivariable interpolation: a review
Algorithms for approximation
Universal approximation using radial-basis-function networks
Neural Computation
A new class of instantaneous dynamic user-optimal traffic assignment models
Operations Research
Advances in the Continuous Dynamic Network Loading Problem
Transportation Science
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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.