The safety of citizens is an integral part of any smart city project. Police patrol provides an effective way to detect suspects and possible crimes. However, policing is a limited resource just like any other service that a Smart City provides. In order to efficiently consume this resource, the city has several aspects that can be controlled to make efficient use of Police patrolling: where (area), what (number), when (hour). In this paper, we utilize the LA County Sheriff's open crime dataset to study the police patrol planning problem. We propose a novel approach to build a network of clusters to efficiently assign patrols based on informational entropy. This minimizes Police time-to-arrival and lowers the overall numbers of police on patrol. Our algorithm relies upon the categories of crimes, and the locations of crimes. Since we use real-time traffic analysis to join crime clusters, our solution is extensible enough to be applied to any metropolitan area.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Optimal Police Patrol Planning Strategy for Smart City Safety


    Beteiligte:
    Hochstetler, Jacob (Autor:in) / Hochstetler, Lauren (Autor:in) / Fu, Song (Autor:in)


    Erscheinungsdatum :

    2016-12-01


    Format / Umfang :

    946413 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Developing an online cooperative police patrol routing strategy

    Wise, SC / Chen, H / Cheng, T | BASE | 2017

    Freier Zugriff


    Intelligent police service patrol system

    ZHANG YUJIN / MA KE / HAN WEN | Europäisches Patentamt | 2022

    Freier Zugriff


    Guidelines for scheduling police patrol cars

    Kolesar, Peter J. / Rider, Kenneth L. / Crabill, Thomas B. | TIBKAT | 1976