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020 _a9783319756080
_9978-3-319-75608-0
024 7 _a10.1007/978-3-319-75608-0
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM075000
_2bisacsh
072 7 _aUKN
_2thema
082 0 4 _a004.6
_223
245 1 0 _aTraffic Mining Applied to Police Activities
_h[electronic resource] :
_bProceedings of the 1st Italian Conference for the Traffic Police (TRAP- 2017) /
_cedited by Fabio Leuzzi, Stefano Ferilli.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXII, 155 p. 39 illus., 33 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 _aAdvances in Intelligent Systems and Computing,
_x2194-5365 ;
_v728
520 _aThis book presents high-quality original contributions on the development of automatic traffic analysis systems that are able to not only anticipate traffic scenarios, but also understand the behavior of road users (vehicles, bikes, trucks, etc.) in order to provide better traffic management, prevent accidents and, potentially, identify criminal behaviors. Topics also include traffic surveillance and vehicle accident analysis using formal concept analysis, convolutional and recurrent neural networks, unsupervised learning and process mining. The content is based on papers presented at the 1st Italian Conference for the Traffic Police (TRAP), which was held in Rome in October 2017. This conference represents a targeted response to the challenges facing the police in connection with managing massive traffic data, finding patterns from historical datasets, and analyzing complex traffic phenomena in order to anticipate potential criminal behaviors. The book will appeal to researchers, practitioners and decision makers interested in traffic monitoring and analysis, traffic modeling and simulation, mobility and social data mining, as well as members of the police.
650 0 _aComputer networks .
_931572
650 0 _aTransportation engineering.
_93560
650 0 _aTraffic engineering.
_915334
650 0 _aData mining.
_93907
650 0 _aOperations research.
_912218
650 0 _aManagement science.
_98316
650 1 4 _aComputer Communication Networks.
_953913
650 2 4 _aTransportation Technology and Traffic Engineering.
_932448
650 2 4 _aData Mining and Knowledge Discovery.
_953914
650 2 4 _aOperations Research, Management Science .
_931720
700 1 _aLeuzzi, Fabio.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_953915
700 1 _aFerilli, Stefano.
_eeditor.
_0(orcid)0000-0003-1118-0601
_1https://orcid.org/0000-0003-1118-0601
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_953916
710 2 _aSpringerLink (Online service)
_953917
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319756073
776 0 8 _iPrinted edition:
_z9783319756097
830 0 _aAdvances in Intelligent Systems and Computing,
_x2194-5365 ;
_v728
_953918
856 4 0 _uhttps://doi.org/10.1007/978-3-319-75608-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
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