Abstract Speed prediction of different transport modes is important in applications such as route planning, transport modelling and energy calculations. In this paper we model bicycle speed as a function of slope and horizontal curvature. We developed two models, one with dependence between subsequent observations (a forward Markov model) and one without such a dependence (a generalised linear model). We show through prediction on out-of-sample data that the model including dependence between observations outperforms the model without. To estimate and evaluate our models we use a data set collected using a smart phone application. The data collected includes different sources of error, and therefore we introduce various filtering methods to make the data more appropriate for statistical analysis and model estimation.


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    Titel :

    A forward Markov model for predicting bicycle speed


    Beteiligte:
    Arnesen, Petter (Autor:in) / Malmin, Olav Kåre (Autor:in) / Dahl, Erlend (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2019




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    55.80 Verkehrswesen, Transportwesen: Allgemeines / 74.75 Verkehrsplanung, Verkehrspolitik
    Lokalklassifikation TIB:    535/7000



    A forward Markov model for predicting bicycle speed

    Arnesen, Petter / Malmin, Olav Kåre / Dahl, Erlend | Online Contents | 2019


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