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.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Illustrationen
17
277 farbige Abbildungen, 17 s/w Abbildungen
XXVI, 781 p. 294 illus., 277 illus. in color.
ISBN-13
978-3-031-93922-8 (9783031939228)
Schweitzer Klassifikation
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.
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.
