TY - GEN
T1 - Delay modelling at unsignalized highway nodes with radial basis function neural networks
AU - Celikoglu, Hilmi Berk
AU - Dell'Orco, Mauro
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=37248998863&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-72383-7_67
DO - 10.1007/978-3-540-72383-7_67
M3 - Conference contribution
AN - SCOPUS:37248998863
SN - 9783540723820
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 562
EP - 571
BT - Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings
PB - Springer Verlag
T2 - 4th International Symposium on Neural Networks, ISNN 2007
Y2 - 3 June 2007 through 7 June 2007
ER -