Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Sequential forecast of incident duration using Artificial Neural Network models


    Contributors:

    Published in:

    Publication date :

    2007



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    44.80 / 55.84 Straßenverkehr / 55.24 / 44.80 Unfallmedizin, Notfallmedizin / 55.84 / 55.24 Fahrzeugführung, Fahrtechnik



    Assessing the Performance of Artificial Neural Network Incident Detection Models

    Dia, H. / Rose, G. / Association of European Operational Research Societies | British Library Conference Proceedings | 1998


    Freeway incident duration prediction using Bayesian network

    Yang, Hongtai / Shen, Luou / Xiang, Yunchi et al. | IEEE | 2017


    Sequential Prediction for Large-Scale Traffic Incident Duration: Application and Comparison of Survival Models

    Li, Xiaobing / Liu, Jun / Khattak, Asad et al. | Transportation Research Record | 2020


    A Simple Time Sequential Procedure for Predicting Freeway Incident Duration

    Khattak, A. J. / Schofer, J. L. / Wang, M.-H. | British Library Online Contents | 1995


    A SIMPLE TIME SEQUENTIAL PROCEDURE FOR PREDICTING FREEWAY INCIDENT DURATION

    Khattak, Asad J. / Schofer, Joseph L. / Wang, Mu-Han | Taylor & Francis Verlag | 1995