Editors:
- Mathematical methods and models of vehicular traffic at the three representative scales in a unique book
- Frontier research topics in the mathematical modelling of vehicular traffic, including vehicle automation and data integration, addressed in various chapters under different points of view
- Up-to-date representation of the most advanced research topics in the mathematical modelling of vehicular traffic
Part of the book series: SEMA SIMAI Springer Series (SEMA SIMAI, volume 12)
Part of the book sub series: ICIAM 2019 SEMA SIMAI Springer Series (ICIAM2019SSSS)
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Table of contents (5 papers)
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Front Matter
About this book
Editors and Affiliations
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Department of Mathematics, Sapienza University of Rome, Roma, Italy
Gabriella Puppo
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Department of Mathematical Sciences “G. L. Lagrange”, Politecnico di Torino, Torino, Italy
Andrea Tosin
About the editors
Gabriella Puppo is professor of numerical analysis at Sapienza, Università di Roma. Previously, she has had positions at Università dell'Insubria and Politecnico di Torino. She obtained a PhD in Applied Mathematics at the Courant Institute of NYU. Her research interests range from scientific computing for hyperbolic and kinetic equations, to modelling of physical and social phenomena using kinetic theory and hyperbolic PDE's.
Andrea Tosin is full professor of Mathematical Physics at Politecnico di Torino, Italy. His main research interests consist in revisiting the classical methods and concepts of kinetic theory, such as Boltzmann-type collisional equations and Fokker-Planck asymptotics, to investigate emerging problems in the realm of interacting multi-agent systems. Applications include vehicular traffic, crowd dynamics and social systems.
Bibliographic Information
Book Title: Mathematical Descriptions of Traffic Flow: Micro, Macro and Kinetic Models
Editors: Gabriella Puppo, Andrea Tosin
Series Title: SEMA SIMAI Springer Series
DOI: https://doi.org/10.1007/978-3-030-66560-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-66559-3Published: 15 October 2021
Softcover ISBN: 978-3-030-66562-3Published: 15 October 2022
eBook ISBN: 978-3-030-66560-9Published: 31 March 2021
Series ISSN: 2199-3041
Series E-ISSN: 2199-305X
Edition Number: 1
Number of Pages: XII, 91
Number of Illustrations: 3 b/w illustrations, 26 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Computational Mathematics and Numerical Analysis