Traffic Flow Dynamics - Info and Reading Options
Data, Models and Simulation
By Martin Treiber, Arne Kesting and Christian Thiemann

"Traffic Flow Dynamics" is published by Springer in Oct 11, 2012 and it has 520 pages.
“Traffic Flow Dynamics” Metadata:
- Title: Traffic Flow Dynamics
- Authors: Martin TreiberArne KestingChristian Thiemann
- Number of Pages: 520
- Publisher: Springer
- Publish Date: Oct 11, 2012
“Traffic Flow Dynamics” Subjects and Themes:
- Subjects: ➤ Traffic flow - Physics - Mathematical optimization - Engineering - Operations research - Dynamical Systems and Complexity Statistical Physics - Mathematical Modeling and Industrial Mathematics - Complexity - Optimization - Numerical and Computational Physics - Operation Research/Decision Theory
Edition Specifications:
- Format: hardcover
Edition Identifiers:
- The Open Library ID: OL27969279M - OL20685234W
- Library of Congress Control Number (LCCN): 2012944963
- ISBN-13: 9783642324598
- ISBN-10: 3642324592
- All ISBNs: 3642324592 - 9783642324598
AI-generated Review of “Traffic Flow Dynamics”:
"Traffic Flow Dynamics" Description:
The Open Library:
<p>This textbook provides a comprehensive and instructive coverage of vehicular traffic flow dynamics and modeling. It makes this fascinating interdisciplinary topic, which to date was only documented in parts by specialized monographs, accessible to a broad readership. Numerous figures and problems with solutions help the reader to quickly understand and practice the presented concepts. This book is targeted at students of physics and traffic engineering and, more generally, also at students and professionals in computer science, mathematics, and interdisciplinary topics. It also offers material for project work in programming and simulation at college and university level.<br><br>The main part, after presenting different categories of traffic data, is devoted to a mathematical description of the dynamics of traffic flow, covering macroscopic models which describe traffic in terms of density, as well as microscopic many-particle models in which each particle corresponds to a vehicle and its driver. Focus chapters on traffic instabilities and model calibration/validation present these topics in a novel and systematic way. Finally, the theoretical framework is shown at work in selected applications such as traffic-state and travel-time estimation, intelligent transportation systems, traffic operations management, and a detailed physics-based model for fuel consumption and emissions.</p>
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