Currently, IT solutions that detect situations of vehicle congestion use isolated technologies, which are not part of an ecosystem that manages them together, made it difficult to gear the tools used by affecting the operation of the solutions.This study aims to present a Big Data architecture proposal for the implementation of vehicle traffic detection software. The research is presented based on the base architecture established for Big Data systems, as well as established studies identifying the particular phases identified for the processing of vehicle traffic records collected in the city of Quito-Ecuador.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Big Data architecture proposal for vehicular traffic detection


    Contributors:


    Publication date :

    2020-10-01


    Size :

    1712242 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Vehicular Traffic

    Rosini, Massimiliano Daniele | Springer Verlag | 2013


    Anomalous Data Detection in Vehicular Networks Using Traffic Flow Theory

    Ranaweera, Malith / Seneviratne, A. / Rey, David et al. | IEEE | 2019


    CARTIM: A proposal toward identification and minimization of vehicular traffic congestion for VANET

    Araujo, Guilherme B. / Queiroz, Matheus M. / Duarte-Figueiredo, Fatima de L. P. et al. | IEEE | 2014


    Vehicular control system with traffic lane detection

    SCHOFIELD KENNETH / LYNAM NIALL R | European Patent Office | 2022

    Free access

    VEHICULAR CONTROL SYSTEM WITH TRAFFIC LANE DETECTION

    SCHOFIELD KENNETH / LYNAM NIALL R | European Patent Office | 2020

    Free access