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008			180516s2018 gw | s |||| 0|eng d
020			_a9783319692319
024	7		_a10.1007/978-3-319-69231-9 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aTE228 _b.K334 2018 EB
100	1		_aKachroo, Pushkin. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/nr97010824 _1http://viaf.org/viaf/85231330/
245	1	0	_aFeedback Control Theory for Dynamic Traffic Assignment _cby Pushkin Kachroo, Kaan M.A. Özbay.
250			_a2nd edition
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XXXI, 272 páginas)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aAdvances in Industrial Control, _x1430-9491
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- 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	3		_aThis 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.
988			_aEBSPRINGER_2018
650		7	_2embne _9162231 _aSeguridad vial
700	1		_aÖzbay, Kaan M.A. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/116436993/
776	0	8	_iEdición impresa: _z9783319692296
776	0	8	_iEdición impresa: _z9783319692302
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-69231-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE