000 | 03581nam a22005775i 4500 | ||
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001 | 978-3-319-75608-0 | ||
003 | DE-He213 | ||
005 | 20220801221047.0 | ||
007 | cr nn 008mamaa | ||
008 | 180321s2018 sz | s |||| 0|eng d | ||
020 |
_a9783319756080 _9978-3-319-75608-0 |
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024 | 7 |
_a10.1007/978-3-319-75608-0 _2doi |
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072 | 7 |
_aUKN _2bicssc |
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_aUKN _2thema |
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_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. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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 |
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650 | 0 |
_aTransportation engineering. _93560 |
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650 | 0 |
_aTraffic engineering. _915334 |
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650 | 0 |
_aData mining. _93907 |
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650 | 0 |
_aOperations research. _912218 |
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650 | 0 |
_aManagement science. _98316 |
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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 |
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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 | ||
942 | _cEBK | ||
999 |
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