Road hotspots detection method is a key issue in the field of intelligent transportation research. Compared with normal hotspots caused by high traffic flow, abnormal hotspots, which are results of road accidents, perform an occurrence time random behavior and difficult to predict. In this paper, a region real-time congestion factor is constructed to realize road abnormal hotspots discovery. Based on taxi's GPS data of Hangzhou City, China, we analyze the relationship between proposed congestion factor and the real-time traffic data. Two accidental scenarios are built to verify the validity of the proposed method. The experiment results show that the proposed method performs well in real-time abnormal hotspot detection and analysis output could be useful in path planning and traffic management.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Abnormal hotspots detection method based on region real-time congestion factor


    Contributors:
    Lingqiu Zeng (author) / Xiaochang Hu (author) / Qingwen Han (author) / Lei Ye (author) / Ruimei Wang (author) / Xueying He (author) / Yongbing Xu (author)


    Publication date :

    2016-11-01


    Size :

    330118 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Real-time road congestion detection method

    ZHANG MEIRUN / ZOU FUMIN / JIANG XINHUA et al. | European Patent Office | 2015

    Free access

    Abnormal Traffic Congestion Recognition Based on Video Analysis

    Liu, Xueli / Gao, Wen / Feng, Dong et al. | IEEE | 2020


    Modelling congestion caused by abnormal loads

    Taylor, Nicholas | TIBKAT | 2007

    Free access

    Congestion loss calculation method based on traffic flow real-time detection data

    CHEN RUI / DONG XIN | European Patent Office | 2021

    Free access

    Online GPS data based abnormal taxi track real-time detection method

    DOU WANCHUN / JIA GUOCHAO | European Patent Office | 2015

    Free access