This article presents the development of an application (App) for mobile devices to visualize hotspots in the road network of Madrid metropolitan area, which is also aimed at warning drivers when approaching those hotspots. The paper describes, firstly, the nature of data used and their provenance, and then puts the focus on the Extraction, Transformation and Loading Process (or ETL Process) carried out for the generation of the structured data used by the App. Afterwards, the main features and functionalities of the developed App are also described.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Data mining approach for traffic hotspots management: Case of Madrid metropolitan area


    Beteiligte:


    Erscheinungsdatum :

    2018-11-01


    Format / Umfang :

    576857 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    DETERMINING TRAFFIC VIOLATION HOTSPOTS

    NAYAK AMARNATH / BEAUREPAIRE JEROME | Europäisches Patentamt | 2023

    Freier Zugriff

    Traffic survey Los Angeles metropolitan area 1937

    Engineering Index Backfile | 1937


    Traffic survey Los Angeles metropolitan area 1937

    Engineering Index Backfile | 1937