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Record Nr. |
UNINA9910299959203321 |
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Autore |
Kachroo Pushkin |
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Titolo |
Feedback Control Theory for Dynamic Traffic Assignment / / by Pushkin Kachroo, Kaan M.A. Özbay |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[2nd ed. 2018.] |
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Descrizione fisica |
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1 online resource (XXXI, 272 p.) |
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Collana |
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Advances in Industrial Control, , 1430-9491 |
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Disciplina |
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Soggetti |
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Automatic control |
Regional planning |
City planning |
Civil engineering |
Control and Systems Theory |
Landscape/Regional and Urban Planning |
Civil Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. . |
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Sommario/riassunto |
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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 |
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