Optimization Models and Methods for Equilibrium Traffic Assignment / by Alexander Krylatov, Victor Zakharov, Tero Tuovinen
By: Krylatov, Alexander, autor
Contributor(s): Zakharov, Victor., autor | Tuovinen, Tero., autor
| SpringerLink (Online service)
Series: (Springer Tracts on Transportation and Traffic, 2194-8119; 15).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: 1 recurso en línea (XI, 228 páginas) : 29 ilustraciones, 22 ilustraciones a color.ISBN: 9783030341022.Subject: Ingeniería de tráfico
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | HE333 2020 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook28022196 |
Introduction -- Optimization traffic assignment models -- Optimization traffic assignment methods -- Optimization models and methods for network design -- Networking issues.
This book is focused on the discussion of the traffic assignment problem, the mathematical and practical meaning of variables, functions and basic principles. This work gives information about new approaches, methods and algorithms based on original methodological technique, developed by authors in their publications for the past several years, as well as corresponding prospective implementations. The book may be of interest to a wide range of readers, such as civil engineering students, traffic engineers, developers of traffic assignment algorithms etc. The obtained results here are to be used in both practice and theory. This book is devoted to the traffic assignment problem, formulated in a form of nonlinear optimization program. The most efficient solution algorithms related to the problem are based on its structural features and practical meaning rather than on standard nonlinear optimization techniques or approaches. The authors have carefully considered the meaning of the traffic assignment problem for efficient algorithms development. .
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