Download Ebook Traffic Flow Dynamics: Data, Models and Simulation, by Martin Treiber, Arne Kesting
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Traffic Flow Dynamics: Data, Models and Simulation, by Martin Treiber, Arne Kesting
Download Ebook Traffic Flow Dynamics: Data, Models and Simulation, by Martin Treiber, Arne Kesting
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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.
- Sales Rank: #395485 in Books
- Published on: 2012-10-11
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x 1.30" w x 6.20" l, 1.90 pounds
- Binding: Hardcover
- 506 pages
Review
From the reviews:
“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.
About the Author
Martin Treiber received his diploma (M.Sc.) and doctoral (Ph.D.) degree in physics in 1996 from the University in Bayreuth, Germany. He is a lecturer at the Chair for Traffic Modeling and Econometrics at the University of Technology in Dresden, Germany and runs the web-site www.traffic-simulation.de. His research interests include vehicular 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 the Free University of Berlin, Germany, and a doctoral (Ph.D.) degree in 2008 from the University of Technology in Dresden, 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 car-to-car communication.
Most helpful customer reviews
1 of 1 people found the following review helpful.
Understandng traffic flow and especially traffic jams
By RGerm
While everybody experienced traffic jams, only few people are aware that they can be described with mathematical equations as though cars are physical particles. At least this is what the authors (who are physicists themselves) claim in their textbook. But is this really the case? By giving many real-world examples and devoting a whole part to empirical data, this book convinces me that this is true in most of the situations treated by the authors. It is particularly amazing that there are even some "traffic flow constants" such as a "jam propagation constant" stating that stop-and-go waves and other moving jam boundaries always move at the same velocity, namely about 15 km/h opposite to the traffic direction.
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.
1 of 1 people found the following review helpful.
on traffic flow -- fun facts and the math behind
By Maier
The potential buyer should be aware that this book is on traffic *flow* models which is a different (and much more dynamic) approach compared to the more traditional "traffic models" such as the four-step scheme of classical urban transportation planning: If you want to know whether that new bridge will solve all traffic problems in your city, use the four-step scheme. If you want to learn the mechanisms behind stop-and-go traffic (and how to avoid it), be informed on the methods of real-time traffic-state recognition, or test whether the proposed new traffic-adaptive signal control scheme will work, use traffic flow simulation. The book covers most of the models used in today's simulation software.
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.
1 of 1 people found the following review helpful.
Great book for both theory and real life practices in transportation problems and operations.
By kukushkin
This is a great book for transportation operations. Thou there is almost no price difference between Kindle version and hard-copy. As an old-school person, I would rather pay more money to get the hard-copy version. The book is really extensive and has a lot of interesting examples. It is a good combination of theory, practice, simulation and data results and the questions/examples are very well up-to-date. However, you might find wrong correlations or equations etc. in the earlier versions. Thou the authors are very easy to reach and if you let them know of the wrong stuff in the book, they are very glad to correct.
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