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001 978-3-319-69231-9
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008 180516s2018 gw | s |||| 0|eng d
020 _a9783319692319
_9978-3-319-69231-9
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8
_223
100 1 _aKachroo, Pushkin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aFeedback Control Theory for Dynamic Traffic Assignment
_h[electronic resource] /
_cby Pushkin Kachroo, Kaan M.A. Özbay.
250 _a2nd ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXXXI, 272 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Industrial Control,
_x1430-9491
500 _aAcceso multiusuario
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 _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.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aControl engineering.
650 0 _aRegional planning.
650 0 _aUrban planning.
650 0 _aCivil engineering.
650 1 4 _aControl and Systems Theory.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T19010
650 2 4 _aLandscape/Regional and Urban Planning.
_0https://scigraph.springernature.com/ontologies/product-market-codes/J15000
650 2 4 _aCivil Engineering.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T23004
700 1 _aÖzbay, Kaan M.A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319692296
776 0 8 _iPrinted edition:
_z9783319692302
776 0 8 _iPrinted edition:
_z9783030098773
830 0 _aAdvances in Industrial Control,
_x1430-9491
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-69231-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c242599
_d242598