Overview
- This book is open access, which means that you have free and unlimited access
- First monograph on different types of control problems for conservation laws arising in vehicular traffic modeling
- Describes mathematical approaches that can be used to develop solutions to traffic problems
- Appendices provide background on the mathematical theory of conservation and balance laws
Part of the book series: Progress in Nonlinear Differential Equations and Their Applications (PNLDE, volume 99)
Part of the book sub series: PNLDE Subseries in Control (PNLDE-SC)
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About this book
Conservation and balance laws on networks have been the subject of much research interest given their wide range of applications to real-world processes, particularly traffic flow. This open access monograph is the first to investigate different types of control problems for conservation laws that arise in the modeling of vehicular traffic. Four types of control problems are discussed - boundary, decentralized, distributed, and Lagrangian control - corresponding to, respectively, entrance points and tolls, traffic signals at junctions, variable speed limits, and the use of autonomy and communication. Because conservation laws are strictly connected to Hamilton-Jacobi equations, control of the latter is also considered. An appendix reviewing the general theory of initial-boundary value problems for balance laws is included, as well as an appendix illustrating the main concepts in the theory of conservation laws on networks.
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Keywords
Table of contents (6 chapters)
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Front Matter
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Back Matter
Reviews
“This book provides comprehensive and self-contained descriptions and analysis of such problems and can be used for a one semester course at graduate or advanced undergraduate level.” (Giuseppe Maria Coclite, Mathematical Reviews, April, 2024)
Authors and Affiliations
About the authors
Alexandre Bayen is a Professor of Electrical Engineering and Computer Science at UC Berkeley, and the Director of the Institute of Transportation Studies.
Maria Laura Delle Monache is a research scientist at Inria, the French National Institute for computer Science and Applied Mathematics.
Mauro Garavello is an Associate Professor of Mathematical Analysis at the University of Milano Bicocca.
Paola Goatin is Research Director a Inria, the French National Institute for Research in Digital Science and Technology
Benedetto Piccoli is Distinguished Professor and the Joseph and Loretta Lopez Chair Professor of Mathematics at Rutgers University - Camden. He also serves as Vice Chancellor for Research.
Maria Laura Delle Monache is a research scientist at Inria, the French National Institute for computer Science and Applied Mathematics.
Mauro Garavello is an Associate Professor of Mathematical Analysis at the University of Milano Bicocca.
Paola Goatin is Research Director a Inria, the French National Institute for Research in Digital Science and Technology
Benedetto Piccoli is Distinguished Professor and the Joseph and Loretta Lopez Chair Professor of Mathematics at Rutgers University - Camden. He also serves as Vice Chancellor for Research.
Bibliographic Information
Book Title: Control Problems for Conservation Laws with Traffic Applications
Book Subtitle: Modeling, Analysis, and Numerical Methods
Authors: Alexandre Bayen, Maria Laura Delle Monache, Mauro Garavello, Paola Goatin, Benedetto Piccoli
Series Title: Progress in Nonlinear Differential Equations and Their Applications
DOI: https://doi.org/10.1007/978-3-030-93015-8
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2022
Hardcover ISBN: 978-3-030-93014-1Published: 24 April 2022
Softcover ISBN: 978-3-030-93017-2Published: 24 April 2022
eBook ISBN: 978-3-030-93015-8Published: 23 April 2022
Series ISSN: 1421-1750
Series E-ISSN: 2374-0280
Edition Number: 1
Number of Pages: XVII, 227
Number of Illustrations: 45 b/w illustrations, 47 illustrations in colour
Topics: Analysis, Systems Theory, Control, Operations Research, Management Science