Traffic Flow Dynamics
Data, Models and Simulation
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Product details:
- Edition number 2
- Publisher Springer Nature Switzerland
- Date of Publication 6 October 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031939211
- Binding Hardback
- No. of pages781 pages
- Size 235x155 mm
- Language English
- Illustrations XXVI, 781 p. 294 illus., 277 illus. in color. Illustrations, black & white 700
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Long description:
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.
New edition on this fascinating interdisciplinary topic explains advances such that it is easily accessible to students in engineering, physics and mathematics
Presents practical applications of traffic theory such as driving behavior, stability analysis, stop-and-go waves, and travel time estimation
Covers the topic in a novel and systematic way by addressing both microscopic and macroscopic models with a focus on traffic instabilities
Widely expanded to cover pedestrian and mixed traffic flow, including non-lane-based traffic and online and offline navigation
Brings together date which has been scattered throughout the journal literature, thus also making it useful as a reference for established researchers
MoreTable of 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.
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