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A COMBINED SYSTEM OF STATIC TRAFFIC ASSIGNMENT AND ANN DELAY MODEL: SOLVING THE CONVERGENCE OF ITERATIVE OPTIMIZATION OF NON-MONOTONIC TRAFFIC ASSIGNMENT - Couverture souple

Ding, Zhen

 
9783639121216: A COMBINED SYSTEM OF STATIC TRAFFIC ASSIGNMENT AND ANN DELAY MODEL: SOLVING THE CONVERGENCE OF ITERATIVE OPTIMIZATION OF NON-MONOTONIC TRAFFIC ASSIGNMENT
Couverture souple
ISBN 10 : 363912121X ISBN 13 : 9783639121216
Editeur : VDM Verlag Dr. Müller, 2009

Synopsis

Transportation planning models, which estimate traffic volumes on transportation network links, are often unable to realistically consider travel time delays at intersections. Introducing signal controls in models often result in significant and unstable changes in network attributes including the monotonicity of link travel time, which, in turn, leads to inability of planning models to arrive at a network solution based on travel costs that are consistent with the intersection delays due to signal controls. Simultaneous optimization of traffic routing and signal controls has not been accomplished in real-world applications of traffic assignment. A delay model dealing with five major types of intersections has been developed using artificial neural networks (ANN). The delay estimates by the ANN delay model have satisfactory percentage root-mean-squared errors (%RMSE). A combined system has also been developed that includes the ANN delay model and a user-equilibrium (UE) traffic assignment. The combined system employs the Frank-Wolfe method to achieve a convergent solution, although the global optimum may not be guaranteed.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Transportation planning models, which estimate traffic volumes on transportation network links, are often unable to realistically consider travel time delays at intersections. Introducing signal controls in models often result in significant and unstable changes in network attributes including the monotonicity of link travel time, which, in turn, leads to inability of planning models to arrive at a network solution based on travel costs that are consistent with the intersection delays due to signal controls. Simultaneous optimization of traffic routing and signal controls has not been accomplished in real-world applications of traffic assignment. A delay model dealing with five major types of intersections has been developed using artificial neural networks (ANN). The delay estimates by the ANN delay model have satisfactory percentage root-mean-squared errors (%RMSE). A combined system has also been developed that includes the ANN delay model and a user-equilibrium (UE) traffic assignment. The combined system employs the Frank-Wolfe method to achieve a convergent solution, although the global optimum may not be guaranteed.

Biographie de l'auteur

Dr. Zhen Ding is currently struggling as a transportation analyst in Dallas, Texas of the U.S. He managed his Ph.D in transportation engineering at Florida International University, after his master study in University of Toledo, Ohio of the U.S. He cherishes his undergraduate study in Zhejiang University. China is his motherland.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2009
Langue
anglais
ISBN 10 
363912121X
ISBN 13 
9783639121216
Reliure
Broché
Nombre de pages
124
Coordonnées du fabricant
non disponible
Personne responsable
non disponible