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Towards a Pervasive and Predictive Traffic Police

  • Fabio Leuzzi
  • Emiliano Del Signore
  • Rosanna Ferranti
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 728)

Abstract

The research on traffic flows is historically born to improve road networks, to make trips comfortable and faster. In this research field, as in many others, literary production followed market or business demand. This paper has the objective to clarify police needs, in order to create a research request and to gain attention. It provides an organizational framework concerning needs, goals, fields and some impacts such that different areas of study can concur all together towards a pervasive comprehension of road events, a predictive Traffic Police, so that safety and security can be ensured via a targeted patrolling or intervention. The aim behind the practical level is to pave the way for the interaction between data science from one hand, and law, public administration and justice from the other hand.

Keywords

Traffic data mining Vehicle forensics Pattern understanding 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Fabio Leuzzi
    • 1
  • Emiliano Del Signore
    • 1
  • Rosanna Ferranti
    • 1
  1. 1.Ministry of the Interior – Italian National PoliceRomeItaly

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