Traffic mining applied to police activities
: proceedings of the 1st Italian conference for the Traffic Police (TRAP- 2017) 1st ed.
Author
Additional Author(s)
Leuzzi, Fabio
Ferilli, Stefano
Publisher
Cham, Switzerland : Springer International Publishing, 2018
Language
English
ISBN
9783319756080
Series
Advances in intelligent systems and computing 728
Subject(s)
DATA MINING
MANAGEMENT SCIENCE
TRAFFIC ENGINEERING
Notes
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Abstract
This 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.
