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Feedback Control Theory for Dynamic Traffic Assignment

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Feldname	Details
Vorliegende Sprache	eng
ISBN	978-3-319-69229-6
Name	Kachroo, Pushkin ¬[VerfasserIn]¬
Name	Özbay, Kaan M.A. ¬[VerfasserIn]¬
Name ANZEIGE DER KETTE	Özbay, Kaan M.A. ¬[VerfasserIn]¬
T I T E L	Feedback Control Theory for Dynamic Traffic Assignment
Auflage	2nd ed. 2018
Verlagsort	Cham
Verlag	Springer
Erscheinungsjahr	2018
Erscheinungsjahr	2018
Umfang	Online-Ressource (XXXI, 272 p, online resource)
Reihe	Advances in Industrial Control
Titelhinweis	Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-319-69229-6
Titelhinweis	Printed editionISBN: 978-3-319-69229-6
ISBN	ISBN 978-3-319-69231-9
Klassifikation	TJFM
	TEC004000
	*93-02
	93B52
	90B20
	629.8
	TJ212-225
Kurzbeschreibung	This book develops a methodology for designing feedback control laws for dynamic traffic assignment (DTA) exploiting the introduction of new sensing and information-dissemination technologies to facilitate the introduction of real-time traffic management in intelligent transportation systems. Three methods of modeling the traffic system are discussed: partial differential equations representing a distributed-parameter setting; continuous-time ordinary differential equations (ODEs) representing a continuous-time lumped-parameter setting; and discreet-time ODEs representing a discrete-time lumped-parameter setting. Feedback control formulations for reaching road-user-equilibrium are presented for each setting and advantages and disadvantage of using each are addressed. The closed-loop methods described are proposed expressly to avoid the counter-productive shifting of bottlenecks from one route to another because of driver over-reaction to routing information. The second edition of Feedback Control Theory for Dynamic Traffic Assignment has been thoroughly updated with completely new chapters: a review of the DTA problem and emphasizing real-time-feedback-based problems; an up-to-date presentation of pertinent traffic-flow theory; and a treatment of the mathematical solution to the traffic dynamics. Techinques accounting for the importance of entropy are further new inclusions at various points in the text. Researchers working in traffic control will find the theoretical material presented a sound basis for further research; the continual reference to applications will help professionals working in highway administration and engineering with the increasingly important task of maintaining and smoothing traffic flow; the extensive use of end-of-chapter exercises will help the graduate student and those new to the field to extend their knowledge. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control
2. Kurzbeschreibung	Introduction -- Trafﬁc Assignment: A Survey of Mathematical Models and Techniques -- Trafﬁc Flow Theory -- Modeling and Problem Formulation -- Dynamic Routing Problem in Distributed Parameter Setting -- Dynamic Routing Problem in Distributed Parameter Setting using Semigroup Theory -- Fuzzy Feedback Control for Dynamic Routing Problem -- Feedback Control for Dynamic Trafﬁc Routing in Lumped Parameter Setting -- Feedback Control for Network Level Dynamic Trafﬁc Routing -- Feedback Routing via Congestion Pricing
SWB-Titel-Idn	505931370
Signatur	Springer E-Book
Bemerkungen	Elektronischer Volltext - Campuslizenz
Elektronische Adresse	$uhttp://dx.doi.org/10.1007/978-3-319-69231-9
Internetseite / Link	Volltext
Siehe auch	Inhaltstext

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