Overview
- Very comprehensive treatment of the traffic assignment problem
- Analytical solutions and clear examples of discussed problems help the reader to learn quickly
- Application-oriented way of presentation
Part of the book series: Springer Tracts on Transportation and Traffic (STTT, volume 15)
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Table of contents (9 chapters)
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Front Matter
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Traffic Flow Issues
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Front Matter
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Optimization Traffic Assignment Models
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Front Matter
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Optimization Traffic Assignment Methods
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Front Matter
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Optimization Models and Methods for Network Design
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Front Matter
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Networking Issues
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Front Matter
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Keywords
About this book
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.
Reviews
“The book presents, in an accessible and elegant way, equilibrium traffic assignment problems. … This monograph is recommended to researchers and graduate students interested in the mathematical aspects of the equilibrium traffic assignment, as well as in methods and algorithms.” (Laura Scrimali, Mathematical Reviews, February, 2021)
Authors and Affiliations
Bibliographic Information
Book Title: Optimization Models and Methods for Equilibrium Traffic Assignment
Authors: Alexander Krylatov, Victor Zakharov, Tero Tuovinen
Series Title: Springer Tracts on Transportation and Traffic
DOI: https://doi.org/10.1007/978-3-030-34102-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-34101-5Published: 06 December 2019
Softcover ISBN: 978-3-030-34104-6Published: 06 December 2020
eBook ISBN: 978-3-030-34102-2Published: 26 November 2019
Series ISSN: 2194-8119
Series E-ISSN: 2194-8127
Edition Number: 1
Number of Pages: XI, 228
Number of Illustrations: 7 b/w illustrations, 22 illustrations in colour
Topics: Transportation Technology and Traffic Engineering, Optimization, Game Theory
Industry Sectors: Aerospace, Automotive, Engineering