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Traffic Flow Dynamics : Data, Models and Simulation / by Martin Treiber, Arne Kesting.

Springer Nature - Springer Physics and Astronomy (R0) eBooks 2025 English International Available online

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Format:
Book
Author/Creator:
Treiber, Martin.
Contributor:
Kesting, Arne.
Series:
Physics and Astronomy Series
Language:
English
Subjects (All):
System theory.
Mathematical models.
Dynamics.
Nonlinear theories.
Operations research.
Mathematical physics.
Complex Systems.
Mathematical Modeling and Industrial Mathematics.
Applied Dynamical Systems.
Operations Research and Decision Theory.
Theoretical, Mathematical and Computational Physics.
Local Subjects:
Complex Systems.
Mathematical Modeling and Industrial Mathematics.
Applied Dynamical Systems.
Operations Research and Decision Theory.
Theoretical, Mathematical and Computational Physics.
Physical Description:
1 online resource (1140 pages)
Edition:
2nd ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
The new edition of this well-received textbook has been thoroughly updated and expanded. It now includes new chapters on pedestrian dynamics, non-lane-based and mixed traffic (e.g., in developing countries), dynamic navigation, map matching, and routing oscillations. Additional sections cover the complete specification of the Wiedemann models, the piecewise linear model, IDM+, as well as advanced topics like lane changing, multi-anticipation stability, hybrid and electric mobility, and fuel consumption modeling. This comprehensive and accessible textbook explores the dynamics and modeling of pedestrian and vehicular traffic flow. Previously documented only in specialized monographs, this interdisciplinary subject is now presented in a unified and reader-friendly format. Numerous figures and exercises with solutions support quick understanding and hands-on practice. The book is ideal for students in physics, traffic engineering, computer science, mathematics, and related interdisciplinary fields. It also serves as a valuable resource for professionals and offers material suitable for programming and simulation projects at the college and university level. Beginning with an overview of various traffic data types, the book delves into mathematical models of traffic flow, covering both macroscopic (density-based) and microscopic (vehicle-level) approaches. Dedicated chapters discuss traffic instabilities, model calibration, and practical applications such as travel-time estimation, intelligent transportation systems, and emissions modeling.
Contents:
Introduction
Part I Traffic Data: Trajectroy and Floating-Car Data
Cross-Sectional Data
Representations of Cross-Sectional Data
Spatiotemporal Reconstruction of the Traffic State
Part II Traffic Flow Modeling: General Aspects
Continuity Equation
The Lighthill-Whitham-Richards Model
Macroscopic Models with Dynamic Velocity
Elementary Car-Following Models
Car-Following Models based on Driving Strategies
Modeling Human Aspects of Driving Behavior
Cellular Automata
Lane-Changing and other Discrete-Choice Situations
Stability Analysis
Calibration and Validation
The Phase Diagram of Congested Traffic States
Part III Applications of Traffic Flow Theory: Traffic Flow Breakdown and Traffic-State Recognition
Travel Time Estimation
Fuel Consumption and Emissions
Model-Based Traffic-Flow Optimization
Solutions to the Problems
Index.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-031-93922-0
9783031939228
OCLC:
1573149286

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