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Traffic flow dynamics = data, models...

Treiber, Martin.

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Traffic flow dynamics = data, models and simulation /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Traffic flow dynamics/ by Martin Treiber, Arne Kesting.
Reminder of title:	data, models and simulation /
Author:	Treiber, Martin.
other author:	Kesting, Arne.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xxvi, 781 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Traffic flow. -
Online resource:	https://doi.org/10.1007/978-3-031-93922-8
ISBN:	9783031939228

Traffic flow dynamics = data, models and simulation /
Treiber, Martin.

Traffic flow dynamicsdata, models and simulation /[electronic resource] :by Martin Treiber, Arne Kesting. - Second edition. - Cham :Springer Nature Switzerland :2025. - xxvi, 781 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9783031939228

Standard No.: 10.1007/978-3-031-93922-8doiSubjects--Topical Terms:

756182
Traffic flow.

LC Class. No.: HE336.T7

Dewey Class. No.: 388.31

Traffic flow dynamics = data, models and simulation /
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505 0 $a 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.
520 $a 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.
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