Abstract Traffic source prediction provides a new way of mitigating traffic congestion. Since the initial discovery that the major usage of road segments can be traced to surprisingly few driver sources, studies of traffic source prediction have recently experienced rapid development. With more high-resolution traffic data available, dynamical driver sources and passenger sources have been proposed, and the method of targeting traffic sources highly related to congestion has triggered a number of applications ranging from travel demand control to vehicle routing guidance and infrastructure upgrades. Here, we present a comprehensive review of the data, methods, and applications of traffic source prediction.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Data, Methods, and Applications of Traffic Source Prediction


    Contributors:
    Wang, Chengcheng (author) / Wang, Pu (author)


    Publication date :

    2018-07-29


    Size :

    16 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Urban traffic travel time prediction method for multi-source heterogeneous data

    LIU FENGKAI / LI MU / FENG YIJUN | European Patent Office | 2022

    Free access

    Urban traffic flow prediction method based on multi-source data fusion

    LIU JIANQI / HE QI / ZENG BI et al. | European Patent Office | 2020

    Free access

    Traffic data analysis and traffic jam prediction

    LIU WEN / ZHANG SHI LEI / SHI QIN et al. | European Patent Office | 2023

    Free access


    TRAFFIC DATA ANALYSIS AND TRAFFIC JAM PREDICTION

    LIU WEN / ZHANG SHI LEI / SHI QIN et al. | European Patent Office | 2022

    Free access