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Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
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Breakdown in Traffic Networks - Fundamentals of Transportation Science (Paperback, Softcover reprint of the original 1st ed. 2017)
Loot Price: R5,314
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Breakdown in Traffic Networks - Fundamentals of Transportation Science (Paperback, Softcover reprint of the original 1st ed. 2017)
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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.
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