株式会社極東書店トップ商品一覧Breakdown in Traffic Networks : Fundamentals of Transportation Science.

商品詳細

Breakdown in Traffic Networks

Breakdown in Traffic Networks : Fundamentals of Transportation Science.

・ISBN 978-3-662-54471-6 hard EUR 179.99

¥48,110.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り
著者・編者Kerner, Boris S.,
出版社(Springer, GW)
出版年月2017
ページ数652 pp.
言語ENG
ニュース番号<640-L533 640-P1300>

解説

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.