Breakdown in Traffic Networks : Fundamentals of Transportation Science
Softcover reprint of the original 1st ed. 2017
Book Details
Format
Paperback / Softback
ISBN-10
3662571978
ISBN-13
9783662571972
Edition
Softcover reprint of the original 1st ed. 2017
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 9th, 2018
Print length
652 Pages
Ksh 28,800.00
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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 anddrawing 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.
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