LEADER 00826nam0-22003011i-450- 001 990005757570403321 005 20110728112905.0 035 $a000575757 035 $aFED01000575757 035 $a(Aleph)000575757FED01 035 $a000575757 100 $a19990604d1853----km-y0itay50------ba 101 0 $agre 105 $ay-------001yy 200 1 $aLucianus$fab Immanuele Bekkero recognitus 210 $aLipsiae$cF.A. Brockhaus$d1853 215 $a2 v. in 1$d23 cm 610 0 $aLuciano di Samosata$aOpere 676 $a887.01 700 1$aLucianus$f<120-ca. 180>$0159729 702 1$aBekker,$bImmanuel$f<1785-1871> 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005757570403321 952 $aSG 880/B 21$bARCH. 3542$fFLFBC 959 $aFLFBC 996 $aLucianus$994699 997 $aUNINA LEADER 01494nam a2200325 i 4500 001 991003989489707536 008 081106s2008 vc ah b 011 0bfre d 020 $a9788821008436 (set) 035 $ab13781686-39ule_inst 040 $aDip.to Filologia Class. e Scienze Filosofiche$bita 100 1 $aCanart, Paul$0177204 245 10$aÉtudes de paléographie et de codicologie /$cPaul Canart ; reproduites avec la collaboration de Maria Luisa Agati et Marco D'Agostino 260 $aCittà del Vaticano :$bBiblioteca Apostolica Vaticana,$c2008 300 $a2 v. :$bill., facs. ;$c26 cm 440 0$aStudi e testi [Biblioteca apostolica vaticana] ;$v450-451 500 $aSaggi già pubblicati 504 $aBibliografia di Paul Canart: v. 1, p. IX-XVIII 504 $aCon bibliografia e indici 600 14$aCanart, Paul,$d1927-$vBibliografia 650 04$aPaleografia 650 04$aCodicologia 700 1 $aAgati, Maria Luisa 700 1 $aD'Agostino, Marco 907 $a.b13781686$b02-04-14$c06-11-08 912 $a991003989489707536 945 $aLE007 091 CAN 01.01 $cv. 1$g1$i2007000167205$lle007$nLE007 2008 Delle Donne$op$pE100.00$q-$rn$s- $t0$u0$v0$w0$x0$y.i14884057$z19-11-08 945 $aLE007 091 CAN 01.01 $cv. 2$g1$i2007000167212$lle007$nLE007 2008 Delle Donne$op$pE100.00$q-$rn$s- $t0$u0$v0$w0$x0$y.i14884069$z19-11-08 996 $aÉtudes de paléographie et de codicologie$91108712 997 $aUNISALENTO 998 $ale007$b06-11-08$cm$da $e-$ffre$gvc $h0$i0 LEADER 04717nam 2200589Ia 450 001 9910739430303321 005 20200520144314.0 010 $a1-4614-6243-6 024 7 $a10.1007/978-1-4614-6243-9 035 $a(CKB)2670000000340837 035 $a(EBL)1082110 035 $a(OCoLC)834089329 035 $a(SSID)ssj0000878406 035 $a(PQKBManifestationID)11482764 035 $a(PQKBTitleCode)TC0000878406 035 $a(PQKBWorkID)10814986 035 $a(PQKB)10562059 035 $a(DE-He213)978-1-4614-6243-9 035 $a(MiAaPQ)EBC1082110 035 $a(PPN)169135977 035 $a(EXLCZ)992670000000340837 100 $a20121220d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAdvances in dynamic network modeling in complex transportation systems /$fSatish V. Ukkusuri, Kaan Ozbay, editors 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (321 p.) 225 1 $aComplex networks and dynamic systems ;$vv.2 300 $aIncludes index. 311 $a1-4939-0048-X 311 $a1-4614-6242-8 327 $aDynamic Traffic Assignment: A Survey of Mathematical Models and Techniques -- The Max-pressure Controller for Arbitrary Networks of Signalized Intersections -- Coordinated Feedback-Based Freeway ramp Metering Control Strategies "C-MIXCROS and D-MIXROS" that Take Ramp Queues into Account -- Solving the Integrated Corridor Control Problem Using Simultaneous Perturbation Stochastic Approximation -- Analyses of Arterial Travel Times based on Probe Data -- A Multibuffer Model for LWR Road Networks -- Cell-based Dynamic Equilibrium Models -- Information Impacts on Traveler Behavior and Network Performance: State of Knowledge and Future Directions -- Modeling Within-Day Activity Rescheduling Decisions under Time-Varying Network Conditions -- Dynamic Navigation in Direction-Dependent Environments -- An Approach to Assess the Impact of Dynamic Congestion in Vehicle Routing Problems -- Incident Duration Prediction with Hybrid Tree-based Quantile Regression. 330 $aThis edited book focuses on recent developments in Dynamic Network Modeling, including aspects of route guidance and traffic control as they relate to transportation systems and other complex infrastructure networks.  Dynamic Network Modeling is generally understood to be the mathematical modeling of time-varying vehicular flows on networks in a fashion that is consistent with established traffic flow theory and travel demand theory. Dynamic Network Modeling as a field has grown over the last thirty years, with contributions from various scholars all over the field. The basic problem which many scholars in this area have focused on is related to the analysis and prediction of traffic flows satisfying notions of equilibrium when flows are changing over time. In addition, recent research has also focused on integrating dynamic equilibrium with traffic control and other mechanism designs such as congestion pricing and network design. Recently, advances in sensor deployment, availability of GPS-enabled vehicular data and social media data have rapidly contributed to better understanding and estimating the traffic network states and have contributed to new research problems which advance previous models in dynamic modeling. A recent National Science Foundation workshop on ?Dynamic Route Guidance and Traffic Control? was organized in June 2010 at Rutgers University by Prof. Kaan Ozbay, Prof. Satish Ukkusuri , Prof. Hani Nassif, and Professor Pushkin Kachroo. This workshop brought together experts in this area from universities, industry and federal/state agencies to present recent findings in this area. Various topics were presented at the workshop including dynamic traffic assignment, traffic flow modeling, network control, complex systems, mobile sensor deployment, intelligent traffic systems and data collection issues. This book is motivated by the research presented at this workshop and the discussions that followed. 410 0$aComplex networks and dynamic systems ;$vv.2. 606 $aTraffic engineering 606 $aTransportation$xMathematical models 615 0$aTraffic engineering. 615 0$aTransportation$xMathematical models. 676 $a388.31015118 701 $aOzbay$b Kaan$f1964-$01441547 701 $aUkkusuri$b Satish V. S. K.$f1978-$01764026 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739430303321 996 $aAdvances in dynamic network modeling in complex transportation systems$94204759 997 $aUNINA