000 03110nam a22004815i 4500
001 978-1-4614-3628-7
003 DE-He213
005 20140220083248.0
007 cr nn 008mamaa
008 120430s2012 xxu| s |||| 0|eng d
020 _a9781461436287
_9978-1-4614-3628-7
024 7 _a10.1007/978-1-4614-3628-7
_2doi
050 4 _aHD30.23
072 7 _aKJT
_2bicssc
072 7 _aKJMD
_2bicssc
072 7 _aBUS049000
_2bisacsh
082 0 4 _a658.40301
_223
100 1 _aEhmke, Jan Fabian.
_eauthor.
245 1 0 _aIntegration of Information and Optimization Models for Routing in City Logistics
_h[electronic resource] /
_cby Jan Fabian Ehmke.
264 1 _aBoston, MA :
_bSpringer US,
_c2012.
300 _aXIV, 197p. 76 illus., 17 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v177
505 0 _aIntroduction -- City Logistics -- Attended Home Delivery -- Knowledge Discovery and Data Mining -- Analysis of Floating Car Data -- Provision of Distance Matrices -- Evaluation of Information Models -- Routing in City Logistics -- Evaluation of Optimization Models -- Conclusions and Outlook.
520 _aAs urban congestion continues to be an ever increasing problem, routing in these settings has become an important area of operations research. This monograph provides cutting-edge research, utilizing the recent advances in technology, to quantify the value of dynamic, time-dependent information for advanced vehicle routing in city logistics. The methodology of traffic data collection is enhanced by GPS based data collection, resulting in a comprehensive number of travel time records. Data Mining is also applied to derive dynamic information models as required by time-dependent optimization. Finally, well-known approaches of vehicle routing are adapted in order to handle dynamic information models. This book interweaves the usually distinct areas of traffic data collection, information retrieval and time-dependent optimization by an integrated methodological approach, which refers to synergies of Data Mining and Operations Research techniques by example of city logistics applications. These procedures will help improve the reliability of logistics services in congested urban areas.
650 0 _aEconomics.
650 0 _aData mining.
650 0 _aRegional economics.
650 1 4 _aEconomics/Management Science.
650 2 4 _aOperations Research/Decision Theory.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aRegional/Spatial Science.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461436270
830 0 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v177
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-3628-7
912 _aZDB-2-SBE
999 _c101412
_d101412