- Hardcover: 506 pages
- Publisher: Springer; 2013 edition (October 11, 2012)
- Language: English
- ISBN-10: 3642324592
- ISBN-13: 978-3642324598
- Product Dimensions: 6.2 x 1.3 x 9.2 inches
- Shipping Weight: 2 pounds (View shipping rates and policies)
- Average Customer Review: 3 customer reviews
- Amazon Best Sellers Rank: #1,850,797 in Books (See Top 100 in Books)
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Traffic Flow Dynamics: Data, Models and Simulation 2013th Edition
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“The contents of the book are exactly as its title suggests, written by authors currently working at the forefront of traffic flow dynamics research and development. … I recommend Traffic Flow Dynamics: Data, Models and Simulation as a very thorough textbook and reference for those in the transportation sciences field. I especially appreciate the long lists of references and recommended readings as well as the companion, open-source, traffic simulation software, videos and examples.” (Jon W. Mooney, Noise Control Engineering Journal, Vol. 65 (2), March-April, 2017)
“Traffic Flow Dynamics is divided into three parts. The first part is devoted to discussing highway traffic data. … In the second part of the book, the authors describe almost all the important achievements in the field … . The final part of the book applies traffic-flow theory to solving traffic jams … . it will be a useful guide for students who want to make the jump into a fascinating area of research.” (Katsuhiro Nishinari, Physics Today, March, 2014)
From the Back Cover
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.
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As the subtitle implies, this book consists of three parts. The first part covers all the usual data sources including the common stationary detector data but also different sorts of floating-car and trajectory data that become increasingly relevant in modern traffic technology.
The second and largest part covers most of the mathematical models of traffic flow: Microscopic models treating each vehicle-driver pair individually, and macroscopic models taking the notion "traffic flow" literally by introducing variables such as density, flux, or local speed. This part also includes directions of how to implement the models in simulators and gives hints on the best numerical methods and how to avoid numerical instabilities. Two big chapters focus on parameter estimation ("calibration and validation") and on traffic flow instabilities. The math in the latter is substantially more demanding than in the rest of this book.
The last part covers some applications: Traffic-state recognition, travel-time estimation, fuel consumption and emission modeling, and traffic flow optimization. I found the last two chapters particularly interesting: If you want to separate the truth from the myth behind several common fuel saving rules, the chapter on consumption modeling is for you. If you want to know why temporary speed limits at critical road sections help avoid breakdowns, you may turn to the chapter on optimization.
The mathematical requirements vary: While most of the chapters can be readily understood by undergraduates or even college students, the Chapters 9 ("macroscopic models with dynamic velocity") and 16 ("stability analysis") are heavy on math. In any case, the many solved problems dispersed throughout the book help the reader to learn more on this narrow but fascinating subject.
There are several scientific books on traffic flow out there. Nevertheless, this book seems to be the only textbook on this (rather specialized) topic that is accessible to undergraduates (and even college) students doing traffic-related project work. A "unique selling point" are the many in-text boxes for testing the understanding and about 50 solved problems (the solutions section alone covers about 70 pages) which are particularly useful for this group of readers. Generally, the problems cover a wide range of difficulty. While some require solving differential equations or other advanced techniques, many others give amazing insights using remarkably little math: When being stuck in a traffic jam, would you like to know why the other lanes always tend to go faster, regardless of which lane you chose? The solution is in the book (p. 471).
At the end of each chapter, "Further Reading" blocks provide references to other work. Nevertheless, the sample of references is rather limited - at least compared to monographs of this size. For a textbook, I think this is OK, though.
Some "greener" topics which I find very interesting are only touched in this book: Pedestrians, non-motorized traffic in general, and also how to model consumptions and emissions of hybrid and all-electrical cars by physics-based load models. Finally, in the applications part, I miss a chapter on signal control: Testing new control algorithms - particularly the more advanced traffic-adaptive schemes - requires heavy use of microscopic simulations.