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Introduction to Network Traffic Flow Theory: Principles, Concepts, Models, and Methods provides a comprehensive introduction to modern theories for modeling, mathematical analysis and traffic simulations in road networks. The book breaks ground, addressing traffic flow theory in a network setting and providing 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. The book also shows how network traffic flow theory is key to understanding traffic estimation, control, management and planning. Users wills find this to be a great resource on both theory and applications across a wide swath of subjects, including road networks and reduced traffic congestion.

E-books --- Traffic flow. --- Traffic flow --- Traffic volume --- Traffic engineering --- Traffic surveys --- Highway capacity --- Traffic density --- Mathematical models.

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Transportation --- Traffic flow --- Information services. --- Traffic volume --- Traffic engineering --- Traffic surveys --- Highway capacity --- Traffic density --- Public transportation --- Transport --- Transportation, Primitive --- Transportation companies --- Transportation industry --- Locomotion --- Commerce --- Communication and traffic --- Storage and moving trade --- Economic aspects

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This book offers a detailed investigation of breakdowns in traffic and transportation networks. It shows empirically that transitions from free flow to so-called synchronized flow, initiated by local disturbances at network bottlenecks, display a nucleation-type behavior: while small disturbances in free flow decay, larger ones grow further and lead to breakdowns at the bottlenecks. Further, it discusses in detail the significance of this nucleation effect for traffic and transportation theories, and the consequences this has for future automatic driving, traffic control, dynamic traffic assignment, and optimization in traffic and transportation networks. Starting from a large volume of field traffic data collected from various sources obtained solely through measurements in real world traffic, the author develops his insights, with an emphasis less on reviewing existing methodologies, models and theories, and more on providing a detailed analysis of empirical traffic data and drawing consequences regarding the minimum requirements for any traffic and transportation theories to be valid. The book - proves the empirical nucleation nature of traffic breakdown in networks - discusses the origin of the failure of classical traffic and transportation theories - shows that the three-phase theory is incommensurable with the classical traffic theories, and - explains why current state-of-the art dynamic traffic assignments tend to provoke heavy traffic congestion, making it a valuable reference resource for a wide audience of scientists and postgraduate students interested in the fundamental understanding of empirical traffic phenomena and related data-driven phenomenology, as well as for practitioners working in the fields of traffic and transportation engineering.

Engineering. --- Complexity, Computational. --- Transportation engineering. --- Traffic engineering. --- Transportation Technology and Traffic Engineering. --- Data-driven Science, Modeling and Theory Building. --- Complexity. --- Applications of Graph Theory and Complex Networks. --- Traffic flow. --- Traffic flow --- Mathematical models. --- Traffic volume --- Traffic engineering --- Traffic surveys --- Highway capacity --- Traffic density --- Traffic Engineering. --- Construction --- Industrial arts --- Technology --- Engineering, Traffic --- Road traffic --- Street traffic --- Traffic, City --- Traffic control --- Traffic regulation --- Urban traffic --- Highway engineering --- Transportation engineering --- Sociophysics. --- Econophysics. --- Computational complexity. --- Physics. --- Economics --- Statistical physics --- Mathematical sociology --- Civil engineering --- Engineering --- Complexity, Computational --- Electronic data processing --- Machine theory --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Statistical methods