Based on the investigation and analysis of the traffic volume in highway tunnel group region, the development trend of traffic volume is analyzed by Grey model. Then the prediction accuracy is improved by Markov optimization. The method in this paper has a better prediction accuracy and practicality in a period than other common prediction methods. It can be used for the prediction analysis of traffic volume and for early warning by highway management.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

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



    Erschienen in:

    Advanced Materials Research ; 712-715 ; 2981-2985


    Erscheinungsdatum :

    27.06.2013


    Format / Umfang :

    5 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    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


    Traffic Accidents Prediction Using Improved Grey-Markov Model

    Chen, Kuan Min ;Xie, Lai Fa ;Xiang, Wen Sen | Trans Tech Publications | 2011



    Research on Performance Prediction of Highway Asphalt Pavement Based on Grey–Markov Model

    Zhu, Yunsheng / Chen, Jinxu / Wang, Kaifeng et al. | Transportation Research Record | 2021