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.
CITATION STYLE
Leuzzi, F., Del Signore, E., & Ferranti, R. (2018). Towards a pervasive and predictive traffic police. In Advances in Intelligent Systems and Computing (Vol. 728, pp. 19–35). Springer Verlag. https://doi.org/10.1007/978-3-319-75608-0_3
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