國立高雄大學圖資館 |

Language: English

Back

Feedback control theory for dynamic ...

Kachroo, Pushkin.

Feedback control theory for dynamic traffic assignment

Record Type:	Electronic resources : Monograph/item
Title/Author:	Feedback control theory for dynamic traffic assignmentby Pushkin Kachroo, Kaan M. A. Ozbay.
Author:	Kachroo, Pushkin.
other author:	Ozbay, Kaan M. A.
Published:	Cham :Springer International Publishing :2018.
Description:	xxxi, 272 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Electronic traffic controls.
Online resource:	http://dx.doi.org/10.1007/978-3-319-69231-9
ISBN:	9783319692319$q(electronic bk.)

Feedback control theory for dynamic traffic assignment
Kachroo, Pushkin.

Feedback control theory for dynamic traffic assignment[electronic resource] /by Pushkin Kachroo, Kaan M. A. Ozbay. - 2nd ed. - Cham :Springer International Publishing :2018. - xxxi, 272 p. :ill., digital ;24 cm. - Advances in industrial control,1430-9491. - Advances in industrial control..

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.

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.

ISBN: 9783319692319$q(electronic bk.)

Standard No.: 10.1007/978-3-319-69231-9doiSubjects--Topical Terms:

246724
Electronic traffic controls.

LC Class. No.: TE228 / .K334 2018

Dewey Class. No.: 625.794

Feedback control theory for dynamic traffic assignment
LDR:03764nmm a2200337 a 4500 001 538796
003 DE-He213
005 20181122132455.0
006 m d
007 cr nn 008maaau
008 190122s2018 gw s 0 eng d
020 $a 9783319692319$q(electronic bk.)
020 $a 9783319692296$q(paper)
024 7 $a 10.1007/978-3-319-69231-9 $2 doi
035 $a 978-3-319-69231-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TE228 $b .K334 2018
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
082 0 4 $a 625.794 $2 23
090 $a TE228 $b .K11 2018
100 1 $a Kachroo, Pushkin. $3 246946
245 1 0 $a Feedback control theory for dynamic traffic assignment $h [electronic resource] / $c by Pushkin Kachroo, Kaan M. A. Ozbay.
250 $a 2nd ed.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xxxi, 272 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in industrial control, $x 1430-9491
505 0 $a 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.
520 $a 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.
650 0 $a Electronic traffic controls. $3 246724
650 0 $a Feedback control systems. $3 182018
650 1 4 $a Engineering. $3 210888
650 2 4 $a Control. $3 349080
650 2 4 $a Landscape/Regional and Urban Planning. $3 274401
650 2 4 $a Civil Engineering. $3 273741
700 1 $a Ozbay, Kaan M. A. $3 815981
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Advances in industrial control. $3 558134
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-69231-9
950 $a Engineering (Springer-11647)