Traffic Flow Dynamics: Data, Models and Simulation - Rilegato

Treiber, Martin; Kesting, Arne

Rilegato

ISBN 10: 3031939212 ISBN 13: 9783031939211

Casa editrice: Springer Nature, 2025

Riassunto

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

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.

Su questo libro

Informazioni sull'autore

Martin Treiber received his diploma (M.Sc.) and doctoral (Ph.D.) degree in physics in 1996 from the University of Bayreuth, Germany. He is a lecturer at the Chair of Econometrics and Statistics, esp. in the Transport Sector at the Dresden University of Technology, Germany and runs the web-site www.traffic-simulation.de. His research interests include vehicular and nonmotorized traffic dynamics and modeling, traffic data analysis and state estimation, and the study of macroeconomic impacts of motorized individual traffic.

Arne Kesting received his diploma (M.Sc.) in physics in 2002 from Freie Universität Berlin the Free University of Berlin, Germany, and a doctoral (Ph.D.) degree in 2008 from the Dresden University of Technology, Germany. In 2009, he received the IEEE ITS Best Ph.D. Dissertation Award for the thesis "Microscopic Modeling of Human and Automated Driving: Towards Traffic-Adaptive Cruise Control". His research interests include microscopic traffic simulation, advanced driver-assistant systems, and floating-car data analysis. Today, he is working in an R&D team on live traffic services at TomTom, Berlin, Germany.

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 3031939212
• ISBN 13: 9783031939211
• Rilegatura: Copertina rigida
• Numero edizione: 2
• Numero di pagine: 808
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania