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.
