Data-driven intelligent transportation systems utilize data resources generated within intelligent systems to improve the performance of transportation systems and provide convenient and reliable services. Traffic data refer to datasets generated and collected on moving vehicles and objects. Data visualization is an efficient means to represent distributions and structures of datasets and reveal hidden patterns in the data. This paper introduces the basic concept and pipeline of traffic data visualization, provides an overview of related data processing techniques, and summarizes existing methods for depicting the temporal, spatial, numerical, and categorical properties of traffic data.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Survey of Traffic Data Visualization




    Publication date :

    2015




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    55.84 / 55.24 / 55.84 Straßenverkehr / 55.24 Fahrzeugführung, Fahrtechnik



    A Survey of Traffic Data Visualization

    Chen, Wei / Guo, Fangzhou / Wang, Fei-Yue | IEEE | 2015


    Visualization of Big Traffic Data

    Wang, Xiaoxia / Li, Zhanqiang / Cui, Yanbo | ASCE | 2016


    TRAFFIC VISUALIZATION SYSTEM

    NARAYANA BHARATH KALLALI / KHOT BHARAT BALASO / KALKERE GIRIDHARA et al. | European Patent Office | 2017

    Free access

    TRAFFIC VISUALIZATION SYSTEM

    NARAYANA BHARATH KALLALI / KHOT BHARAT BALASO / KALKERE GIRIDHARA et al. | European Patent Office | 2017

    Free access

    Visualization of traffic patterns using GPS data

    KADOUS MOHAMMED WALEED / LOOKINGBILL ANDREW / ARFVIDSSON JOAKIM KRISTIAN OLLE | European Patent Office | 2015

    Free access