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Introduction to Network Traffic Flow Theory: Principles, Concepts, Models, and Methods

Introduction to Network Traffic Flow Theory: Principles, Concepts, Models, and Methods

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Network Traffic Flow Theory: Principles, Concepts, Models, and Methods is a comprehensive introduction to modern theories for modeling, mathematical analysis, and traffic simulations in road networks. It provides researchers and transportation professionals with a better understanding of how network traffic flows behave, how congestion builds and dissipates, and how to develop strategies to alleviate network traffic congestion.

Format: Paperback / softback
Length: 282 pages
Publication date: 19 April 2021
Publisher: Elsevier Science Publishing Co Inc


Network Traffic Flow Theory: Principles, Concepts, Models, and Methods is a comprehensive guide to modern theories for modeling, mathematical analysis, and traffic simulations in road networks. This groundbreaking text delves into the realm of traffic flow theory within a network context, offering researchers and transportation professionals a deeper understanding of how network traffic flows, how congestion develops and dissipates, and how to develop effective strategies to alleviate network traffic congestion. Moreover, the book demonstrates the pivotal role of network traffic flow theory in understanding traffic estimation, control, management, and planning. Whether you are a scholar of theoretical concepts or a practitioner seeking practical applications across a diverse range of subjects, including road networks and reduced traffic congestion, this book will serve as an invaluable resource.

The book begins by introducing the fundamental principles and concepts of network traffic flow theory. It explores the behavior of vehicles on road networks, including factors such as speed, density, and flow patterns. It also discusses the mathematical models used to simulate traffic flow, including the principles of fluid dynamics, queueing theory, and stochastic processes.

Chapter 1 provides an overview of network traffic flow theory, including its historical development, key concepts, and applications. It discusses the importance of understanding traffic flow in order to optimize transportation systems and reduce congestion. Chapter 2 introduces the basic mathematical models used in network traffic flow theory, such as the Poisson distribution, the Erlang distribution, and the Markov chain. It explains how these models can be used to describe the behavior of traffic flows and to predict congestion levels.

Chapter 3 explores the concept of traffic congestion, including its causes, effects, and mitigation strategies. It discusses the factors that contribute to traffic congestion, such as road capacity, traffic demand, and traffic incidents. It also provides an overview of the different congestion control strategies, such as traffic signal optimization, lane control, and ramp metering.

Chapter 4 discusses the application of network traffic flow theory in traffic estimation, control, management, and planning. It explores the techniques used to measure traffic flow, such as traffic counters, video cameras, and GPS sensors. It also discusses the algorithms used to optimize traffic flow, such as dynamic traffic assignment and congestion pricing.

Chapter 5 discusses the challenges and limitations of network traffic flow theory. It discusses the difficulties in modeling complex road networks, such as urban networks and inter-city highways. It also discusses the challenges in predicting the behavior of drivers and pedestrians, and in addressing the social and environmental impacts of traffic congestion.

Chapter 6 provides an overview of the latest research and developments in network traffic flow theory. It discusses the use of big data and artificial intelligence in traffic analysis and control, as well as the development of new models and methods for simulating traffic flow.

In conclusion, Network Traffic Flow Theory: Principles, Concepts, Models, and Methods is a comprehensive and authoritative guide to modern theories for modeling, mathematical analysis, and traffic simulations in road networks. This text provides researchers and transportation professionals with a deep understanding of how network traffic flows, how congestion develops and dissipates, and how to develop effective strategies to alleviate network traffic congestion. Whether you are a scholar of theoretical concepts or a practitioner seeking practical applications across a diverse range of subjects, including road networks and reduced traffic congestion, this book will serve as an invaluable resource.

Weight: 466g
Dimension: 153 x 227 x 20 (mm)
ISBN-13: 9780128158401

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