by Martin Treiber and Arne Kesting
First comprehensive textbook of the fascinating topic of traffic dynamics. The book discusses empirical phenomena, stop-and-go waves, models for the driving behavior, and stability analysis, in a way that it is easily accessible to engineering, physics and math students.
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.
ISBN 978-3-642-32460-4 · 2013, 503 pages, 194 illustrations, 54 in color.
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The open-source simulator is written in Java and implements various car-following models. MovSim is providing reference implementations for the models described in this textbook as well as some simulation scenarios. The source-code is available on Github.
The open-source simulator is written in JavaScript and demonstrates the principles of traffic flow dynamics in different scenarios. Parameters can be varied interactively in order to experience their effects. Check out the video on YouTube or the summary documentation for more information – or try it out directly.
The website illustrates the rich dynamics in space and time of traffic flow by means of empirical data. The website offers a searchable image database of real congestion patterns. It explains the different characteristic types of traffic jams, the influencing factors for a traffic breakdown and if there is such a thing as a phantom traffic jam.