This textbook provides a comprehensive and instructive coverage of vehicular traffic flow dynamics and modeling. It makes this fascinating interdisciplinary topic, which to date was only documented in parts by specialized monographs, accessible to a broad readership. Numerous figures and problems with solutions help the reader to quickly understand and practice the presented concepts. This book is targeted at students of physics and traffic engineering and, more generally, also at students and professionals in computer science, mathematics, and interdisciplinary topics. It also offers material for project work in programming and simulation at college and university level. The main part, after presenting different categories of traffic data, is devoted to a mathematical description of the dynamics of traffic flow, covering macroscopic models which describe traffic in terms of density, as well as microscopic many-particle models in which each particle corresponds to a vehicle and its driver. Focus chapters on traffic instabilities and model calibration/validation present these topics in a novel and systematic way. Finally, the theoretical framework is shown at work in selected applications such as traffic-state and travel-time estimation, intelligent transportation systems, traffic operations management, and a detailed physics-based model for fuel consumption and emissions.

This textbook provides a comprehensive and instructive coverage of vehicular traffic flow dynamics and modeling. It makes this fascinating interdisciplinary topic, which to date was only documented in parts by specialized monographs, accessible to a broad readership. Numerous figures and problems with solutions help the reader to quickly understand and practice the presented concepts. This book is targeted at students of physics and traffic engineering and, more generally, also at students and professionals in computer science, mathematics, and interdisciplinary topics. It also offers material for project work in programming and simulation at college and university level. The main part, after presenting different categories of traffic data, is devoted to a mathematical description of the dynamics of traffic flow, covering macroscopic models which describe traffic in terms of density, as well as microscopic many-particle models in which each particle corresponds to a vehicle and its driver. Focus chapters on traffic instabilities and model calibration/validation present these topics in a novel and systematic way. Finally, the theoretical framework is shown at work in selected applications such as traffic-state and travel-time estimation, intelligent transportation systems, traffic operations management, and a detailed physics-based model for fuel consumption and emissions.

Das vorliegende Lehrbuch gibt eine umfassende und didaktische Darstellung der Modellierung und Dynamik des Strassenverkehrs. Es erschliesst Studenten dieses anschauliche und faszinierende Gebiet, welches bisher nur in der englischsprachigen Originalliteratur dargestellt wurde. Zahlreiche Abbildungen und geloste Ubungsaufgaben tragen zum Verstandnis bei. Das Buch richtet sich an Physik- und Verkehrsingenieurstudenten mit interdisziplinarer Ausrichtung sowie allgemein an Studierende der Informatik, Mathematik und technischer Richtungen.

Nach einer Darstellung der verschiedene Kategorien von Verkehrsdaten werden im Hauptteil die Einflussfaktoren der Stauentstehung und Verkehrsinstabilitaten wie Stop-and-Go-Verkehr mit mathematischen Modellen analysiert. Der Verkehr wird dabei entweder makroskopisch als Fluss beschrieben, oder mikroskopisch als Vielteilchenmodell, wobei jedes Teilchen einen Fahrer bzw. ein Fahrzeug darstellt. Im letzten Teil des Werkes werden ausgewahlte Anwendungen der dargestellten Konzepte und Methoden dargestellt, insbesondere Verkehrslageschatzung und Verkehrstelematik, Verkehrsmanagement, sowie eine detaillierte Kraftstoffverbrauchs- und Emissionsberechnung."

His doctoral thesis at hand comprises the state-of-the-art in microscopic traffic modeling and simulation methodology. The first part deals with a microscopic traffic flow theory. Models describing the individual acceleration, deceleration and lane-changing behavior are formulated and the emerging collective traffic dynamics are investigated by means of simulations. The models and simulation tools presented provide the methodical prerequisites for the second part in which a novel concept of a traffic-adaptive control strategy for Adaptive Cruise Control (ACe systems is presented. The impact of such systems on the traffic dynamics can solely be investigated and assessed by traffic simulations. In order to ensure that ACC systems are implemented in ways that improve rather than degrade traffic conditions, the thesis proposes an extension of ACC systems towards traffic-adaptive cruise control by means of implementing an actively jam-avoiding driving strategy. The presented concept is aiming at moving forward adaptive and cooperative technologies for vehicle-based intelligent transportation systems (ITS).