| Record ID | marc_columbia/Columbia-extract-20221130-030.mrc:162372138:4045 |
| Source | marc_columbia |
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LEADER: 04045cam a2200661 i 4500
001 14777386
005 20220326225947.0
006 m o d
007 cr cnu---unuuu
008 181126t20192019ne a o 001 0 eng d
035 $a(OCoLC)on1076271744
035 $a(NNC)14777386
040 $aN$T$beng$erda$epn$cN$T$dN$T$dOPELS$dOCLCF$dMERER$dOCLCQ$dWAU$dYDX$dS2H$dOCLCO$dOCLCQ$dOCLCO
019 $a1162850834
020 $a9780128129715$q(electronic bk.)
020 $a0128129719$q(electronic bk.)
020 $z9780128129708
020 $z0128129700
035 $a(OCoLC)1076271744$z(OCoLC)1162850834
050 4 $aHE305
072 7 $aBUS$x070100$2bisacsh
072 7 $aTRA$x009000$2bisacsh
082 04 $a388.4$223
049 $aZCUA
245 00 $aMobility patterns, big data and transport analytics :$btools and applications for modeling /$cedited by Constantinos Antoniou, Loukas Dimitriou, Francisco Pereira.
250 $aFirst edition.
264 1 $aAmsterdam, Netherlands :$bElsevier,$c[2019]
264 4 $c©2019
300 $a1 online resource (xix, 432 pages) :$billustrations (some color)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
500 $aIncludes index.
588 0 $aPrint version record.
520 $aMobility Patterns, Big Data and Transport Analytics provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing and controlling mobility patterns - a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications and concepts in mobility analysis and transportation systems. Users will find a detailed, mobility 'structural' analysis and a look at the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data's impact on mobility and an introduction to the tools necessary to apply new techniques. The book covers in detail, mobility 'structural' analysis (and its dynamics), the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications, and transportation systems analysis related to complex processes and phenomena. The book bridges the gap between big data, data science, and Transportation Systems Analysis with a study of big data's impact on mobility, and an introduction to the tools necessary to apply new techniques.
650 0 $aUrban transportation.
650 0 $aUrban transportation$xSimulation methods.
650 0 $aTraffic engineering.
650 0 $aBig data.
650 6 $aTransports urbains.
650 6 $aTransports urbains$xMéthodes de simulation.
650 6 $aTechnique de la circulation.
650 6 $aDonnées volumineuses.
650 7 $aurban transportation.$2aat
650 7 $atraffic engineering.$2aat
650 7 $aBUSINESS & ECONOMICS$xIndustries$xTransportation.$2bisacsh
650 7 $aTRANSPORTATION$xPublic Transportation.$2bisacsh
650 7 $aBig data.$2fast$0(OCoLC)fst01892965
650 7 $aTraffic engineering.$2fast$0(OCoLC)fst01154087
650 7 $aUrban transportation.$2fast$0(OCoLC)fst01162609
650 7 $aUrban transportation$xSimulation methods.$2fast$0(OCoLC)fst01162661
655 4 $aElectronic books.
700 1 $aAntoniou, Constantinos,$eeditor.
700 1 $aDimitriou, Loukas,$eeditor.
700 1 $aPereira, Francisco Baptista,$eeditor.
776 08 $iPrint version:$tMobility patterns, big data and transport analytics.$dAmsterdam : Elsevier, 2018$z9780128129708$w(OCoLC)1064617417
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio14777386$zAll EBSCO eBooks
852 8 $blweb$hEBOOKS