Considering the grey feature of traffic accident occurrence, grey model optimized by least-square theory is introduced to prejudge the future trend of traffic accident. To improve the prediction precision of this model, an amendment factor of boundary value and Markov chain are proposed and the numerical application proves the effectiveness of this Grey –Markov predict model.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Traffic Accidents Prediction Using Improved Grey-Markov Model



    Published in:

    Advanced Materials Research ; 378-379 ; 222-225


    Publication date :

    2011-10-27


    Size :

    4 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Forecast of Road Traffic Accidents grounded on Rolling optimization Grey Markov Model

    Xu Chengzhen / Zhang Heng / Gong Yanan et al. | DOAJ | 2020

    Free access

    A Hybrid Grey Markov Prediction Model for Traffic Volume

    Chen, S. / Wang, W. / Qu, G. et al. | British Library Conference Proceedings | 2007


    A Hybrid Grey Markov Prediction Model for Traffic Volume

    Chen, Shuyan / Wang, Wei / Qu, Gaofeng et al. | ASCE | 2007


    Prediction of Traffic Volume in Highway Tunnel Group Region Based on Grey Markov Model

    Zhan, Wei ;Lu, Qing ;Shang, Yue Quan | Trans Tech Publications | 2013


    Prediction of Traffic Accidents using Random Forest Model

    Mallahi, Imad El / Dlia, Asmae / Riffi, Jamal et al. | IEEE | 2022