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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Traffic Accidents Prediction Using Improved Grey-Markov Model



    Erschienen in:

    Advanced Materials Research ; 378-379 ; 222-225


    Erscheinungsdatum :

    27.10.2011


    Format / Umfang :

    4 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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

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

    Freier Zugriff

    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