Traffic Mining Applied to Police Activities

Proceedings of the 1st Italian Conference for the Traffic Police (TRAP- 2017)

Fabio Leuzzi, Stefano Ferilli (Herausgeber)

Buch | Softcover

XII, 155 Seiten

2018 | 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-75607-3 (ISBN)

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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.

Advancements in Mobility Data Analysis.- Towards a Pervasive and Predictive Traffic Police.- A Process Mining Traffic Behavior.- Efficient and Accurate Traffic Flow Prediction via Fast Dynamic Tensor Completion.- Unsupervised Classification of Routes and Plates from the Trap2017 Dataset.- Vehicle classification based on convolutional networks applied to FMCW radar signals.- Traffic Data: Exploratory Data Analysis with Apache Accumulo.- Exploiting Recurrent Neural Networks for Gate Traffic Prediction.

Erscheinungsdatum	23.03.2018
Reihe/Serie	Advances in Intelligent Systems and Computing
Zusatzinfo	XII, 155 p. 39 illus., 33 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	246 g
Themenwelt	Mathematik / Informatik ► Informatik ► Netzwerke
Schlagworte	Automatic Number Plate Reading Systems • Data Traffic Analysis • Police investigations • Traffic Analysis Systems • traffic classification • Traffic Data Collection • traffic surveillance • TRAP 2017 • Vehicle Accident Analysis
ISBN-10	3-319-75607-9 / 3319756079
ISBN-13	978-3-319-75607-3 / 9783319756073
Zustand	Neuware