Non-Fiction Books:

Control Problems for Conservation Laws with Traffic Applications

Modeling, Analysis, and Numerical Methods
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$164.00
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Description

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.  

Author Biography:

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.
Release date NZ
April 24th, 2022
Pages
227
Edition
1st ed. 2022
Audience
  • Professional & Vocational
Illustrations
47 Illustrations, color; 45 Illustrations, black and white; XVII, 227 p. 92 illus., 47 illus. in color.
ISBN-13
9783030930141
Product ID
35787728

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