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Hardcover. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

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Condizione: New. pp. 356.

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condizione: New. pp. 232.

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Condizione: Acceptable. Used - Acceptable. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library with wear and barcode page may have been removed. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Condizione: New. Traffic control is of ever-increasing importance in these timesPresents the whole theory behind Intelligent Transportation Systems, and a dynamic feedback approachInformation on applications is presented to illustrate the theoryThe series Advanc.

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Gebunden. Condizione: New. Feedback Ramp Metering in Intelligent Transportation Systems is the first book on the topic of using feedback control (also called real-time traffic control or adaptive control by some traffic engineers) in ramp metering. It provides traffic theory fundamen.

Hardcover. Condizione: Brand New. 328 pages. 9.00x6.00x1.25 inches. In Stock.

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Condizione: New. Second Edition 2018 NO-PA16APR2015-KAP.

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Taschenbuch. Condizione: Neu. Advances in Dynamic Network Modeling in Complex Transportation Systems | Satish V. Ukkusuri (u. a.) | Taschenbuch | x | Englisch | 2015 | Springer | EAN 9781493900480 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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; anddiscreet-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; anda 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.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited book focuses on recent developments in Dynamic Network Modeling, including aspects of route guidance and traffic control as they relate to transportation systems and other complex infrastructure networks. Dynamic Network Modeling is generally understood to be the mathematical modeling of time-varying vehicular flows on networks in a fashion that is consistent with established traffic flow theory and travel demand theory. Dynamic Network Modeling as a field has grown over the last thirty years, with contributions from various scholars all over the field. The basic problem which many scholars in this area have focused on is related to the analysis and prediction of traffic flows satisfying notions of equilibrium when flows are changing over time. In addition, recent research has also focused on integrating dynamic equilibrium with traffic control and other mechanism designs such as congestion pricing and network design. Recently, advances in sensor deployment, availability of GPS-enabled vehicular data and social media data have rapidly contributed to better understanding and estimating the traffic network states and have contributed to new research problems which advance previous models in dynamic modeling. A recent National Science Foundation workshop on 'Dynamic Route Guidance and Traffic Control' was organized in June 2010 at Rutgers University by Prof. Kaan Ozbay, Prof. Satish Ukkusuri , Prof. Hani Nassif, and Professor Pushkin Kachroo. This workshop brought together experts in this area from universities, industry and federal/state agencies to present recent findings in this area. Various topics were presented at the workshop including dynamic traffic assignment, traffic flow modeling, network control, complex systems, mobile sensor deployment, intelligent traffic systems and data collection issues. This book is motivated by the research presented at this workshop and the discussions that followed.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited book focuses on recent developments in Dynamic Network Modeling, including aspects of route guidance and traffic control as they relate to transportation systems and other complex infrastructure networks. Dynamic Network Modeling is generally understood to be the mathematical modeling of time-varying vehicular flows on networks in a fashion that is consistent with established traffic flow theory and travel demand theory. Dynamic Network Modeling as a field has grown over the last thirty years, with contributions from various scholars all over the field. The basic problem which many scholars in this area have focused on is related to the analysis and prediction of traffic flows satisfying notions of equilibrium when flows are changing over time. In addition, recent research has also focused on integrating dynamic equilibrium with traffic control and other mechanism designs such as congestion pricing and network design. Recently, advances in sensor deployment, availability of GPS-enabled vehicular data and social media data have rapidly contributed to better understanding and estimating the traffic network states and have contributed to new research problems which advance previous models in dynamic modeling. A recent National Science Foundation workshop on 'Dynamic Route Guidance and Traffic Control' was organized in June 2010 at Rutgers University by Prof. Kaan Ozbay, Prof. Satish Ukkusuri , Prof. Hani Nassif, and Professor Pushkin Kachroo. This workshop brought together experts in this area from universities, industry and federal/state agencies to present recent findings in this area. Various topics were presented at the workshop including dynamic traffic assignment, traffic flow modeling, network control, complex systems, mobile sensor deployment, intelligent traffic systems and data collection issues. This book is motivated by the research presented at this workshop and the discussions that followed.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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; anddiscreet-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; anda 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.